Artificial Intelligence Engineer Jobs in Jordan

<p>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.</p><p>Work Location HQA and open for remote consultancy in the UNRWA fields of operation Expected duration 12 months</p><p>Duties and Responsibilities</p><p>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to:</p><ul><li>Analyze business requirements and translate them into technical BI and AI solutions.</li><li>Design and develop dimensional data warehouse models and analytical/semantic models.</li><li>Design and develop OLAP cubes and support database objects.</li><li>Develop, maintain, and optimize ETL/ELT processes and data integration solutions.</li><li>Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards.</li><li>Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions.</li><li>Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities.</li><li>Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture.</li><li>Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support.</li><li>Provide technical guidance and knowledge transfer to BI developers and relevant technical staff.</li><li>Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals.</li><li>Perform other related duties as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline.</li><li>Minimum seven (6) years of relevant professional experience.</li><li>Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies.</li><li>Extensive experience with Microsoft Power BI.</li><li>Extensive experience with SQL Server, SQL development, and database scripting.</li><li>Strong experience in Data Warehouse design and dimensional modelling.</li><li>Strong experience in ETL/ELT development and data integration.</li><li>Strong experience writing DAX and SQL.</li><li>Experience with Microsoft SSIS and SSAS.</li><li>Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions.</li><li>Experience translating business requirements into analytical solutions.</li><li>Experience preparing technical documentation.</li><li>Experience with Microsoft Azure and/or Microsoft Fabric is desirable</li><li>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.</li></ul>

<p><h4>Job description</h4> <p><strong>Job role - Principal engineer – mechanical – aviation buildings</strong><br> Verbal and written communication in English is mandatory.</p> <h4>Responsibilities:</h4> <ul> <li>Lead mechanical/HVAC design from feasibility and basis-of-design (BoD) through detailed design, tender and construction support for aviation facilities.</li> <li>Own the environmental strategy for very large volumes (e.g., hangar bays): heating/cooling concepts, destratification, purge/exhaust modes, make-up air, and controls sequences—balancing energy, IAQ and safety (UFC/ASHRAE/NFPA context).</li> <li>Engineer specialist ventilation for hazardous operations: paint spray booths/rooms, fuel-cell maintenance/purge ventilation, welding/fume extraction, VOC control, and hazardous-area interfaces with electrical/controls.</li> <li>Integrate process utilities common to MRO and workshops.</li> <li>Shape catering facility HVAC and hygienic air zones: kitchen exhaust and makeup air (NFPA 96), pressure cascades, temperature/humidity control for clean prep/packing.</li> <li>Deliver BIM-led coordination (Revit/Navisworks) across architecture, structures, process, fire protection, and controls; lead clash resolution and model QA.</li> <li>Run calculations and simulations: loads, duct/pipe sizing, ventilation rates, smoke/fume capture, and (where needed) CFD to support the thermal comfort studies.</li> <li>Author technical documents: BoD, design reports, specifications, sequences of operation, control narratives, FAT/SAT/commissioning plans.</li> <li>Engage stakeholders—airlines/MROs, airport operators, food safety teams, and authorities—to secure approvals and smooth delivery.</li> <li>Lead retrofit, refurbishment, and brownfield upgrade projects within operational airport environments—assessing existing systems, developing phased upgrade strategies, ensuring minimal disruption to ongoing operations, and integrating new systems with legacy infrastructure while addressing capacity, compliance, and energy performance improvements.</li> </ul> <h4>Key systems and domains you’ll cover:</h4> <ul> <li>Hangars and workshops: general and emergency exhaust, purge ventilation for fuel system work, floor-level capture where required, destratification/ HVLS fans, door air management, radiant/air systems, PCA (pre-conditioned air) and GSE interfaces.</li> <li>Catering facilities: high-duty kitchen exhaust and makeup air (hoods, MAUs, heat recovery), grease ducting, rooftop terminations, pressure zoning for hygiene, and interfaces to cold rooms/freezers and clean areas.</li> <li>Experience in refurbishment projects, passenger terminal building mechanical design (HVAC, drainage systems) is preferred.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s or master’s degree in mechanical engineering.</li> <li>Professional registration (e.g., CEng/PE) strongly preferred.</li> <li>15+ years’ experience in building services (mechanical/HVAC), with significant aviation project delivery (passenger terminal building, hangars, MRO shops, flight catering, or similar).</li> <li>Proven leadership as lead/principal engineer on multi-disciplinary design projects and prior delivery in live airport environments (airside/landside interfaces, works phasing) is preferred.</li> <li>Expertise writing BoDs, specifications, P&IDs, control sequences, etc.</li> <li>BIM fluency: Revit, Navisworks; competence with calculations (e.g., IES-VE/HAP/eQuest), CFD exposure preferred.</li> <li>Client-facing communication and team leadership; mentoring and QA/QC across multiple concurrent packages.</li> <li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li> <li>Willingness to be based at Dammam Airport for the initial phase of the project (short-term assignment) and relocate to the main office upon project completion.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the oil & gas, power & renewables, chemicals, construction & infrastructure, life sciences, mining and manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job description<br>Job Role -Principal Engineer – Mechanical – Aviation Buildings<br>Verbal and written communication in English is mandatory<br>Responsibilities:</strong><ul><li>Lead mechanical/HVAC design from feasibility and basis-of-design (BoD) through detailed design, tender and construction support for aviation facilities.</li><li>Own the environmental strategy for very large volumes (e.g., hangar bays): heating/cooling concepts, destratification, purge/exhaust modes, make-up air, and controls sequences—balancing energy, IAQ and safety. (UFC/ASHRAE/NFPA context).</li><li>Engineer specialist ventilation for hazardous operations: paint spray booths/rooms, fuel-cell maintenance/purge ventilation, welding/fume extraction, VOC control, and hazardous-area interfaces with electrical/controls.</li><li>Integrate process utilities common to MRO and workshops.</li><li>Shape catering facility HVAC and hygienic air zones: kitchen exhaust &amp; makeup air (NFPA 96), pressure cascades, temperature/humidity control for clean prep/packing.</li><li>Deliver BIM-led coordination (Revit/Navisworks) across architecture, structures, process, fire protection, and controls; lead clash resolution and model QA.</li><li>Run calculations &amp; simulations: loads, duct/pipe sizing, ventilation rates, smoke/fume capture, and (where needed) CFD to support the thermal comfort studies.</li><li>Author technical documents: BoD, design reports, specifications, sequences of operation, control narratives, FAT/SAT/commissioning plans.</li><li>Engage stakeholders—airlines/MROs, airport operators, food safety teams, and authorities—to secure approvals and smooth delivery.</li><li>Lead retrofit, refurbishment, and brownfield upgrade projects within operational airport environments—assessing existing systems, developing phased upgrade strategies, ensuring minimal disruption to ongoing operations, and integrating new systems with legacy infrastructure while addressing capacity, compliance, and energy performance improvements.<br> <br> &nbsp;</li></ul><strong>Key systems &amp; domains you’ll cover:</strong><ul><li>Hangars &amp; workshops: general and emergency exhaust, purge ventilation for fuel system work, floor-level capture where required, destratification/HVLS fans, door air management, radiant/air systems, PCA (pre-conditioned air) and GSE interfaces.</li><li>Catering facilities: high-duty kitchen exhaust &amp; makeup air (hoods, MAUs, heat recovery), grease ducting, rooftop terminations, pressure zoning for hygiene, and interfaces to cold rooms/freezers and clean areas.</li><li>Experience in refurbishment projects, passenger terminal building Mechanical design (HVAC, Drainage systems) is preferred.<br> <br> &nbsp;</li></ul><strong>Qualifications:</strong><ul><li>Bachelor’s or Master’s degree in Mechanical Engineering.</li><li>Professional registration (e.g., CEng/PE) strongly preferred.</li><li>15+ years’ experience in building services (mechanical/HVAC), with significant aviation project delivery (Passenger terminal building, hangars, MRO shops, flight catering, or similar).</li><li>Proven leadership as Lead/Principal Engineer on multi-disciplinary design projects and Prior delivery in live airport environments (airside/landside interfaces, works phasing) is preferred.</li><li>Expertise writing BoDs, specifications, P&amp;IDs, control sequences, etc.</li><li>BIM fluency: Revit, Navisworks; competence with calculations (e.g., IES-VE/HAP/eQuest),CFD exposure preferred.</li><li>Client-facing communication and team leadership; mentoring and QA/QC across multiple concurrent packages.</li><li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li><li>Willingness to be based at Dammam Airport for the initial phase of the project (short-term assignment) and relocate to the main office upon project completion</li></ul><br>If you find this job matching your skills, please apply or share your CV on sayali.kothmire@nesfircroft.com<br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.<br> Work Location<br>HQA and open for remote consultancy in the UNRWA fields of operation<br> Expected duration<br>12 months<br> Duties and Responsibilities<br>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to: • Analyze business requirements and translate them into technical BI and AI solutions. • Design and develop dimensional data warehouse models and analytical/semantic models. • Design and develop OLAP cubes and support database objects. • Develop, maintain, and optimize ETL/ELT processes and data integration solutions. • Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards. • Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions. • Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities. • Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture. • Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support. • Provide technical guidance and knowledge transfer to BI developers and relevant technical staff. • Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals. • Perform other related duties as required.<br> Qualifications/special skills<br>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline. Minimum seven (6) years of relevant professional experience. Nature of required experience: Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies. • Extensive experience with Microsoft Power BI. • Extensive experience with SQL Server, SQL development, and database scripting. • Strong experience in Data Warehouse design and dimensional modelling. • Strong experience in ETL/ELT development and data integration. • Strong experience writing DAX and SQL. • Experience with Microsoft SSIS and SSAS. • Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions. • Experience translating business requirements into analytical solutions. • Experience preparing technical documentation. • Experience with Microsoft Azure and/or Microsoft Fabric is desirable<br> Languages<br>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.<br> Additional Information<br>CONDITIONS OF SERVICE • The consultancy is based in UNRWA HQA Amman with possibility for remote consultancy in the fields of UNRWA operations. • The consultancy is for local candidates. • The selected candidate will receive a monthly remuneration that is amounting to JOD 1,190.44 or equivalent in USD for every fully completed month. • The duration of the Contract is for 12 months, and the possibility of extension is subject to the availability of funds and continuing need and satisfactory performance. • As part of Digital Impact, Technology and Innovation Department (DITID)and digital workspace the role works under the overall supervision of the head, Digital Impact Strategy and Data Officer and in coordination with EBI team.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>&nbsp;</p> <p ><b><span>Job Summary</span></b></p> <p ><span>Arab Potash Company is seeking an accomplished&nbsp;<b>Senior Mechanical Engineer</b> to support the delivery of major industrial projects from engineering design through construction, commissioning, and startup. The role requires strong technical judgment, effective coordination with multidisciplinary teams, and the ability to ensure mechanical deliverables meet project requirements, applicable standards, and business objectives.</span></p> <p ><b><u><span>Duties and Responsibilities</span></u></b></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Review and validate mechanical engineering deliverables, including designs, calculations, drawings, technical submittals, specifications, datasheets, and vendor proposals.</span></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Ensure compliance with project requirements, applicable engineering standards, safety expectations, and quality procedures.</span></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Coordinate mechanical scope with civil, structural, electrical, instrumentation, process, procurement, and construction teams.</span></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Support procurement activities through technical bid evaluations, vendor clarifications, equipment selection, and sourcing recommendations.</span></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Monitor project progress, resolve technical issues, and support timely completion of mechanical deliverables.</span></p> <p ><span><span>·<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Engage with contractors, consultants, vendors, and internal stakeholders during design reviews, coordination meetings, construction, commissioning, and startup activities.</span></p> <p>&nbsp;</p> <p>&nbsp;</p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 7+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Key responsibilities</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>What we offer</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Work Location<br>Full-time. Ideally in-person, HQ Amman duty station. Online / Remote working possible.<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>The Department of Security and Risk Management (DSRM) is investing in digital transformation across its security information management and operational functions, with a growing emphasis on geospatial capability and the responsible use of artificial intelligence. This internship supports that work by contributing to the development and support of GIS products and AI-assisted tools used across D/FSRM’s five field offices. By the end of the placement, the intern will have gained practical experience in: • Developing and supporting GIS products, spatial datasets and map-based analysis within a UN operational context • Applying AI and automation tools to real security data and geospatial workflows • Working within a humanitarian data management environment with complex operational requirements Under the supervision of the Security Information Analyst, the intern will: • Support the development and maintenance of GIS products for D/FSRM, including spatial datasets, geodatabases, map-based visualisations and operational mapping outputs for the five field offices • Support the agency’s use of artificial intelligence by helping to integrate AI features — such as natural language processing, automated classification and AI-assisted analysis — into existing and new D/FSRM tools and geospatial products • Contribute to the design and development of low-code applications (e.g. Power Apps and Dataverse) that support D/FSRM’s GIS and data management needs • Contribute to the documentation of system logic, data models and user guidance materials • Support testing and iteration of tools with input from field users • Assist with data visualisation and reporting tasks in Power BI where relevant • Perform any other related tasks as assigned by the supervisor<br> Qualifications/special skills<br>Applicants must be enrolled in or have recently graduated from (within one year) a Master's degree programme in a relevant field. Relevant fields include but are not limited to: • Geographic Information Systems (GIS) or Geomatics • Information Management or Information Systems • Computer Science or Data Science • A related technical or interdisciplinary field Demonstrated experience with GIS software and spatial data management (e.g. ArcGIS, QGIS) is a particular advantage. Familiarity with any of the following is desirable but not required: applied use of AI tools and large language models; Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio); or Dataverse.<br> Languages<br>English and French are the working languages of the United Nations Secretariat. For this job internship, English is required.<br> Additional Information<br>The intern must provide proof of valid medical and accident insurance and a certificate of good health prior to commencement of the internship. The intern is required to adhere to UNRWA's Code of Ethics and all applicable standards of conduct throughout the placement. The internship is unpaid and does not constitute an employment relationship with UNRWA. Full-time interns are entitled to two days of leave per month. The internship does not carry any expectation of employment following its conclusion.<br> Intern Specific text<br>Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Department of Security and Risk Management (DSRM) is investing in digital transformation across its security information management and operational functions, with a growing emphasis on geospatial capability and the responsible use of artificial intelligence. This internship supports that work by contributing to the development and support of GIS products and AI-assisted tools used across D/FSRM s five field offices. By the end of the placement, the intern will have gained practical experience in: Developing and supporting GIS products, spatial datasets and map-based analysis within a UN operational context Applying AI and automation tools to real security data and geospatial workflows Working within a humanitarian data management environment with complex operational requirements Under the supervision of the Security Information Analyst, the intern will: Support the development and maintenance of GIS products for D/FSRM, including spatial datasets, geodatabases, map-based visualisations and operational mapping outputs for the five field offices Support the agency s use of artificial intelligence by helping to integrate AI features such as natural language processing, automated classification and AI-assisted analysis into existing and new D/FSRM tools and geospatial products Contribute to the design and development of low-code applications (e.g. Power Apps and Dataverse) that support D/FSRM s GIS and data management needs Contribute to the documentation of system logic, data models and user guidance materials Support testing and iteration of tools with input from field users Assist with data visualisation and reporting tasks in Power BI where relevant Perform any other related tasks as assigned by the supervisor</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Applicants must be enrolled in or have recently graduated from (within one year) a Master's degree programme in a relevant field. Relevant fields include but are not limited to: Geographic Information Systems (GIS) or Geomatics Information Management or Information Systems Computer Science or Data Science A related technical or interdisciplinary field Demonstrated experience with GIS software and spatial data management (e.g. ArcGIS, QGIS) is a particular advantage. Familiarity with any of the following is desirable but not required: applied use of AI tools and large language models; Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio); or Dataverse.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Tiered Approach</strong></p><br> <p>In line with the commitment to safeguard capacity and support personnel already in the Organization, a majority of UNDP UNCDF/UNV vacancies are advertised using a tiered application process whereby:</p><br> <ul> <li><strong>Tier 0</strong>: UNDP/UNCDF/UNV IP staff holding permanent (PA) and fixed-term (FTA) appointments, whose posts will be abolished, or contracts will be terminated or not renewed during 2026.</li> <li><strong>Tier 1</strong>: Other UNDP/UNCDF/UNV staff holding permanent (PA) and fixed-term (FTA) appointments</li> <li><strong>Tier 2</strong>: UNDP/UNCDF/UNV staff holding temporary appointments (TA), personnel on regular PSA contracts, and Expert and Specialist UN Volunteers</li> <li><strong>Tier 3 or no tier indicated</strong>: All other contract types from UNDP/UNCDF/UNV and other agencies, and other external candidates</li> </ul> <p>Please make note of the Tier(s) indicated in the vacancy title, if any, and ensure that you satisfy the eligibility to apply.</p><br> <p><strong>Background</strong></p><br> <p>Anchored in the 2030 Agenda for Sustainable Development and aligned with the UNDP Strategic Plan 2026–2029, the Regional Bureau for Arab States (RBAS) supports the Arab States region in achieving sustainable development by eradicating poverty in all its forms, accelerating structural transformations, and building resilience to crises and shocks. RBAS operates across the full spectrum of development settings in the region, including Least Developed Countries, Middle Income Countries, Net Contributor Countries, and countries affected by crisis.&nbsp;</p><br> <p>The Regional Hub for Arab States in Amman serves as the centre for thought leadership, crisis response, and country office support. Its work spans strategic policy advice, programme development and implementation, capacity development, policy research and analysis, knowledge services, and operations support. The Amman Regional Hub hosts the Regional Programme for Arab States, which responds to emerging regional priorities through knowledge generation, regional initiatives, and development projects aligned with the Regional Programme Document 2026–2029.&nbsp;</p><br> <p>Artificial Intelligence has emerged as a defining force in the development landscape of the Arab States region, presenting both transformative opportunities and significant governance challenges. In response to growing demand from governments, donors, civil society, and private sector partners, RBAS is accelerating its engagement on AI as a cross-cutting enabler for sustainable development outcomes. This work is embedded within the <i><strong>Regional Programme</strong></i> and implemented in close collaboration with governance, innovation, and programme teams across the Hub.&nbsp;</p><br> <p>UNDP’s <strong>AI Sprint</strong> is a flagship initiative aimed at accelerating the adoption of Artificial Intelligence for sustainable development across the Arab States and Africa. The Sprint is structured around four key pillars: <strong>AI Landscape Assessment (AILA)</strong>, <strong>AI Trust &amp; Safety</strong>, <strong>AI Capacity Building</strong>, and <strong>AI Model Development</strong>. The initiative seeks to equip governments, the private sector, academia, and civil society with the skills, policies, and tools required to leverage AI responsibly and effectively in support of the Sustainable Development Goals (SDGs). Through the AI Sprint, UNDP supports partner countries in identifying national AI priorities, assessing ecosystem readiness, strengthening governance frameworks, building human capacities, and advancing inclusive AI solutions particularly in Arabic and local languages.&nbsp;</p><br> <p>Within this framework, and under the direct supervision of the head or regional digital and AI team - <strong>Digital Transformation Specialist</strong> the <strong>Artificial Intelligence(AI )Analyst</strong> will be responsible of supporting the implementation of activities across the four AI Sprint pillars, while also providing substantive support to the Regional Programme’s AI-related components and delivering tailored AI technical support to UNDP Country Offices across the Arab States. The candidate will support research, policy development, and knowledge sharing to ensure that AI adoption in the region is ethical, inclusive, and aligned with global best practices.&nbsp;</p><br> <p><strong>Duties and Responsibilities</strong></p><br> <p>Under the direct supervision of the<strong> Digital Transformation Specialist</strong>, the <strong>AI Analyst</strong> will perform the following key functions:&nbsp;</p><br> <p><strong>1. Contribute to the Regional AI work</strong>&nbsp;</p><br> <ul> <li>Providing substantive support to the Regional Programme’s AI-related components.&nbsp;</li> <li>Delivering tailored AI technical support to UNDP Country Offices across the Arab States.</li> <li>Coordinate &nbsp;AI Landscape Assessment (AILA)&nbsp;</li> <li>Coordinate country-level assessments of AI readiness, ecosystem maturity, and policy frameworks.&nbsp;</li> <li>Analyze findings to produce synthesis reports and actionable insights for national and regional planning.&nbsp;</li> <li>Support the facilitation of engagement with governments, academia, and private sector partners to validate and apply assessment results.&nbsp;</li> </ul> <p><i><strong>2</strong></i><strong>. Contribute to AI Trust &amp; Safety</strong>&nbsp;</p><br> <ul> <li>Support the development of responsible AI governance frameworks and practical guidance on fairness, accountability, transparency, and privacy.&nbsp;</li> <li>Develop tools and methodologies for risk assessment and mitigation.&nbsp;</li> <li>Track global AI governance trends and align regional efforts with international standards.&nbsp;</li> </ul> <p><strong>3.Facilitate AI Capacity Building</strong>&nbsp;</p><br> <ul> <li>Design and coordinate capacity-building programmes and workshops for policymakers, practitioners, and institutions.&nbsp;</li> <li>Support in developing learning materials and toolkits on AI ethics, governance, and applications for sustainable development.&nbsp;</li> <li>Support the coordination with UNDP Country Offices to identify AI priorities, technical support needs, and opportunities for south-south collaboration.&nbsp;</li> </ul> <p><strong>4.Support AI model development and knowledge sharing&nbsp;</strong></p><br> <ul> <li>Support initiatives focused on Arabic and local-language AI model development and deployment.&nbsp;</li> <li>Support the engagement with partners to enhance linguistic inclusivity and representation in AI systems.&nbsp;</li> <li>Document lessons learned and promote inclusive and culturally relevant AI approaches.&nbsp;</li> </ul> <p><i><strong>5</strong></i><strong>.Research, policy and partnership support</strong>&nbsp;</p><br> <ul> <li>Prepare policy briefs, knowledge products, and concept notes on responsible AI.&nbsp;</li> <li>Support coordination among partners, including governments, research institutions, and the private sector.&nbsp;</li> <li>Contribute to advocacy, communication, and reporting on AI Sprint outcomes and progress.&nbsp;</li> </ul> <p><strong>6. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.&nbsp;</strong></p><br> <p><strong>Institutional Arrangement</strong>&nbsp;</p><br> <p>The Artificial Intelligence (AI) Analyst will report directly to the&nbsp;Digital Transformation Specialistand work in close collaboration with:&nbsp;</p><br> <p>• The Regional AI and Digital Team in Amman.&nbsp;</p><br> <p>• The AI, Digital, and Innovation Hub in New York.&nbsp;</p><br> <p>• Regional Programme Team.&nbsp;</p><br> <p>• UNDP Country Offices across the Arab States.&nbsp;</p><br> <p>The candidate will work remotely but may be required to travel for regional workshops, consultations, and coordination meetings. The candidate will provide their own work equipment (laptop, internet connection, etc.) and maintain flexibility to work across time zones.&nbsp;</p><br> <p><strong>Competencies</strong></p><br> <p>Core Competencies</p><br> <p><strong>Achieve Results</strong> – LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline.</p><br> <p><strong>Think Innovatively</strong> – LEVEL 1: Open to creative ideas/known risks, is a pragmatic problem solver, makes improvements.</p><br> <p><strong>Learn Continuously</strong> – LEVEL 1: Open-minded and curious, shares knowledge, learns from mistakes, asks for feedback.</p><br> <p><strong>Adapt with Agility</strong> – LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible.</p><br> <p><strong>Act with Determination</strong> – LEVEL 1: Shows drive and motivation, able to deliver calmly in the face of adversity, confident.</p><br> <p><strong>Engage and Partner</strong> – LEVEL 1: Demonstrates compassion and understanding towards others, forms positive relationships.</p><br> <p><strong>Enable Diversity and Inclusion</strong> – LEVEL 1: Appreciates and respects differences, is aware of unconscious bias, confronts discrimination.</p><br> <p>Cross-Functional &amp; Technical Competencies</p><br> <p><strong>Digital</strong></p><br> <ul> <li><strong>Artificial Intelligence Thought Leadership</strong><br> Deep understanding of current and emerging trends in AI, along with their social, ethical, and economic implications, including data privacy and human rights. Ability to engage with industry experts, government representatives, and academics to stay updated on the latest trends and to form partnerships. Strong skills in conducting and interpreting research to support thought leadership initiatives, including white papers, policy briefs, or case studies. Understanding of global trends and cultural nuances as they relate to the field of AI. Familiarity with international laws and standards regarding technology, particularly in a multi-stakeholder environment like the UN.</li> <li><strong>Policy/Regulations for Digital and Emerging Technology</strong><br> Ability to design or advise on regulations and policy for digital and emerging technology.</li> <li><strong>Transformation in Developing Organizations</strong><br> Knowledge of re-designing processes and leading projects that involve development issues.</li> </ul> <p><strong>Data</strong></p><br> <ul> <li><strong>Data Analysis</strong><br> Ability to extract, analyze and visualize data to form meaningful insights and aid effective business decision-making.</li> </ul> <p><strong>Business Management</strong></p><br> <ul> <li><strong>Digital Awareness and Literacy</strong><br> Ability to monitor new and emerging technologies, as well as understand their usage, potential, limitations, impact, and added value. Ability to rapidly and readily adopt and use new technologies in professional activities, and to empower others to do the same.</li> </ul> <p><strong>Communication</strong></p><br> <ul> <li><strong>Digital Capacity Building</strong><br> Ability to increase the impact of digital communications through trainings, partnerships, and relevant resources.</li> </ul> <p><strong>Business Direction &amp; Strategy</strong></p><br> <ul> <li><strong>Systems Thinking</strong><br> Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system.</li> </ul> <p>*Please refer to&nbsp;the competency framework site&nbsp;for the entire list of competencies and further explanations.</p><br> <p><strong>Required Skills and Experience</strong></p><br> <p>Minimum Education Requirements</p><br> <ul> <li>An advanced university degree (Master’s degree or equivalent) in Artificial Intelligence, Computer Science, Data Science, Telecommunications, International Development, Public Policy, or a related field is required.</li> </ul> <p><strong>OR</strong></p><br> <ul> <li>A first-level university degree (Bachelor’s degree) in the areas stated above, in combination with an additional two years of qualifying experience, will be given due consideration in lieu of the advanced university degree.</li> </ul> <p>Minimum Years of Relevant Work Experience</p><br> <ul> <li>Minimum of <strong>2 years</strong> (with a Master’s degree) or <strong>4 years</strong> (with a Bachelor’s degree) of progressively responsible professional experience in AI development, digital innovation, or applied data technologies.</li> </ul> <p>Required Skills</p><br> <ul> <li>Proven experience in conducting AI ecosystem assessments and policy design.</li> <li>Demonstrated experience in AI capacity building, research, and stakeholder engagement.</li> <li>Experience in developing AI models, AI governance, responsible AI, digital transformation, and emerging technology frameworks.</li> <li>Proven experience in developing project proposals and partnership engagement.</li> <li>Demonstrated ability to draft high-quality technical reports, policy briefs, concept notes, and strategic recommendations.</li> </ul> <p>Desired Skills</p><br> <ul> <li>Experience in international or regional AI or digital development projects in the Arab States Region is an asset.</li> <li>Familiarity with UN or other international development organizations, Digital and AI teams' policies, procedures, and programme implementation frameworks is desirable.</li> <li>Experience supporting the development of national AI strategies or assessments, digital transformation roadmaps, or innovation policies in the Arab States Region is an advantage.</li> <li>Familiarity with emerging global debates, standards, and policy frameworks related to AI trust and safety, digital ethics, and responsible AI implementation is desirable. Relevant work in the Arab Region is preferred.</li> <li>Experience working with Arab States Region government institutions, regulators, innovation hubs, academia, or private-sector technology partners is considered an asset.</li> </ul> <p>Required Languages</p><br> <ul> <li>Fluency in both written and spoken English and Arabic is required.</li> <li>Knowledge of another UN language, particularly French, is an asset.</li> </ul> <p>Professional Certificates</p><br> <ul> <li>N/A</li> </ul> <p><strong>Equal opportunity</strong></p><br> <p>As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.&nbsp;</p><br> <p>UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.</p><br> <p><strong>Sexual harassment, exploitation, and abuse of authority</strong></p><br> <p>UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.&nbsp;</p><br> <p><strong>Right to select multiple candidates</strong></p><br> <p>UNDP reserves the right to select one or more candidates from this vacancy announcement.&nbsp; We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.</p><br> <p><strong>Use of AI by candidates</strong></p><br> <p>Applicants are invited to read UNDP’s guidance for candidates on using AI responsibly in UNDP recruitment and selection</p><br> <p><strong>Scam alert</strong></p><br> <p>UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.</p><br><br> #LI-DNI<br><br> </div>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company.<br> Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy.<br> The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.<br> Responsibilities: 1.<br> Strategy &amp; Architecture Leadership Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design &amp; Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering &amp; Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance &amp; Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership &amp; Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement &amp; Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture &amp; Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops &amp; Model Lifecycle Management - Enterprise Integration &amp; API Design - Data Architecture &amp; Data Engineering - AI Governance, Ethics &amp; Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI &amp; Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p><p>Responsibilities:</p><ol><li>Strategy &amp; Architecture Leadership<ul><li>Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments</li><li>Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design &amp; Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering &amp; Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance &amp; Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership &amp; Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement &amp; Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation</li></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture &amp; Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops &amp; Model Lifecycle Management</li><li>Enterprise Integration &amp; API Design</li><li>Data Architecture &amp; Data Engineering</li><li>AI Governance, Ethics &amp; Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI &amp; Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>

<p><h4>Job description</h4> <p><strong>Job role - Principal engineer – mechanical – aviation buildings</strong><br> Verbal and written communication in English is mandatory.</p> <h4>Responsibilities:</h4> <ul> <li>Lead mechanical/HVAC design from feasibility and basis-of-design (BoD) through detailed design, tender and construction support for aviation facilities.</li> <li>Own the environmental strategy for very large volumes (e.g., hangar bays): heating/cooling concepts, destratification, purge/exhaust modes, make-up air, and controls sequences—balancing energy, IAQ and safety (UFC/ASHRAE/NFPA context).</li> <li>Engineer specialist ventilation for hazardous operations: paint spray booths/rooms, fuel-cell maintenance/purge ventilation, welding/fume extraction, VOC control, and hazardous-area interfaces with electrical/controls.</li> <li>Integrate process utilities common to MRO and workshops.</li> <li>Shape catering facility HVAC and hygienic air zones: kitchen exhaust and makeup air (NFPA 96), pressure cascades, temperature/humidity control for clean prep/packing.</li> <li>Deliver BIM-led coordination (Revit/Navisworks) across architecture, structures, process, fire protection, and controls; lead clash resolution and model QA.</li> <li>Run calculations and simulations: loads, duct/pipe sizing, ventilation rates, smoke/fume capture, and (where needed) CFD to support the thermal comfort studies.</li> <li>Author technical documents: BoD, design reports, specifications, sequences of operation, control narratives, FAT/SAT/commissioning plans.</li> <li>Engage stakeholders—airlines/MROs, airport operators, food safety teams, and authorities—to secure approvals and smooth delivery.</li> <li>Lead retrofit, refurbishment, and brownfield upgrade projects within operational airport environments—assessing existing systems, developing phased upgrade strategies, ensuring minimal disruption to ongoing operations, and integrating new systems with legacy infrastructure while addressing capacity, compliance, and energy performance improvements.</li> </ul> <h4>Key systems and domains you’ll cover:</h4> <ul> <li>Hangars and workshops: general and emergency exhaust, purge ventilation for fuel system work, floor-level capture where required, destratification/ HVLS fans, door air management, radiant/air systems, PCA (pre-conditioned air) and GSE interfaces.</li> <li>Catering facilities: high-duty kitchen exhaust and makeup air (hoods, MAUs, heat recovery), grease ducting, rooftop terminations, pressure zoning for hygiene, and interfaces to cold rooms/freezers and clean areas.</li> <li>Experience in refurbishment projects, passenger terminal building mechanical design (HVAC, drainage systems) is preferred.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s or master’s degree in mechanical engineering.</li> <li>Professional registration (e.g., CEng/PE) strongly preferred.</li> <li>15+ years’ experience in building services (mechanical/HVAC), with significant aviation project delivery (passenger terminal building, hangars, MRO shops, flight catering, or similar).</li> <li>Proven leadership as lead/principal engineer on multi-disciplinary design projects and prior delivery in live airport environments (airside/landside interfaces, works phasing) is preferred.</li> <li>Expertise writing BoDs, specifications, P&IDs, control sequences, etc.</li> <li>BIM fluency: Revit, Navisworks; competence with calculations (e.g., IES-VE/HAP/eQuest), CFD exposure preferred.</li> <li>Client-facing communication and team leadership; mentoring and QA/QC across multiple concurrent packages.</li> <li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li> <li>Willingness to be based at Dammam Airport for the initial phase of the project (short-term assignment) and relocate to the main office upon project completion.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the oil & gas, power & renewables, chemicals, construction & infrastructure, life sciences, mining and manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<p><h4>Responsibilities:</h4> <p><strong>Lead electrical design</strong> from feasibility and basis of design (BoD) through detailed design, tender, and construction support for aviation facilities.</p> <p><strong>Own the electrical power strategy</strong> for large-scale facilities (e.g., hangar bays): MV/LV distribution, redundancy, load management, earthing, and control philosophies—balancing reliability, safety, and energy performance (IEC/NFPA context).</p> <p><strong>Engineer electrical systems</strong> for hazardous operations: paint booths/rooms, fuel-cell maintenance areas, welding zones—ensuring compliance with ATEX/IECEx and coordination with mechanical ventilation and controls.</p> <p><strong>Design and specify power systems</strong> for aviation facilities: transformers, generators, UPS, distribution boards, and backup systems for mission-critical operations.</p> <p><strong>Integrate electrical utilities</strong> across MRO and workshop environments—ground power units (GPU), PCA interfaces, process equipment loads, and coordination with mechanical, fire/life safety, and control systems.</p> <p><strong>Shape electrical systems</strong> for catering facilities: resilient power distribution for kitchens, cold-chain systems, and hygienic areas aligned with HACCP/ISO 22000 requirements.</p> <p><strong>Deliver BIM-led coordination</strong> (Revit/Navisworks) across architecture, structures, MEP, and specialist systems; lead clash resolution and model QA.</p> <p><strong>Perform calculations and studies:</strong> load estimation, cable sizing, protection coordination, short-circuit analysis, and lighting design.</p> <p><strong>Author technical documents:</strong> BoD, load schedules, single-line diagrams (SLDs), specifications, and commissioning plans.</p> <p><strong>Mentor and review engineers/designers;</strong> lead design reviews, HAZOPs, and constructability/operability workshops.</p> <p><strong>Engage stakeholders</strong>—airlines, MROs, airport operators, and authorities—to secure approvals and ensure smooth delivery.</p> <p><strong>Lead retrofit, refurbishment, and brownfield upgrades</strong> in operational airport environments—assessing existing systems, planning phased upgrades, and integrating new systems with minimal disruption while improving capacity, compliance, and energy performance.</p> <h4>Key systems & domains you’ll cover:</h4> <ul> <li>Hangars & workshops: MV/LV distribution, ground power units (GPU), PCA electrical interfaces, high-bay lighting, emergency power, earthing and bonding for aircraft safety, and hangar door electrics.</li> <li>Paint/corrosion control: hazardous-area electrical systems, explosion-proof equipment, interlocks, LEL monitoring interfaces, and ATEX/IECEx compliance coordinated with ventilation and controls.</li> <li>Welding & fabrication: power distribution for welding equipment, equipment earthing, task lighting, and integration with extraction/LEV systems aligned with OSHA/ACGIH guidance.</li> <li>Power systems: transformers, generators, UPS, LV panels, and distribution networks designed for redundancy, resilience, and mission-critical operations.</li> <li>Catering facilities: resilient power supply for kitchens, cold rooms/freezers, food processing areas, and hygienic zoning aligned with HACCP/ISO 22000 requirements.</li> <li>ELV & controls: fire alarm systems (NFPA 72), ICT, security (CCTV/access control), structured cabling, and BMS/SCADA integration for operational monitoring and control.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s degree in electrical engineering; master’s degree preferred.</li> <li>Professionally registered (CEng, PE, or equivalent).</li> <li>15+ years' experience in electrical building services design, including aviation and complex infrastructure projects.</li> <li>Demonstrated experience leading multidisciplinary design teams and delivering major projects.</li> </ul> <h4>Technical expertise:</h4> <ul> <li>Strong knowledge of international electrical design codes, standards, and aviation requirements.</li> <li>Expertise in MV/LV power distribution, load assessments, protection systems, and earthing design.</li> <li>Proficiency in BIM and industry-standard design software, including Revit, Navisworks, ETAP, and Dialux.</li> <li>Experience in airport facilities, terminal buildings, and aviation-related infrastructure is highly desirable.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Project Engineer</strong> </p> <p> <strong> </strong> </p> <p>PenguinIN is a renowned industry leader in the field of indoor positioning solutions. Our cutting-edge AI technology empowers us to deliver unparalleled location intelligence and actionable insights, revolutionizing the way large-scale buildings operate. As we continue to expand our operations, we are seeking a talented and driven individual to join us as a Delivery &amp; Support Engineer.</p> <p> </p> <p>In this dynamic role, you will play a vital part in supporting our field operations. Your responsibilities will encompass a wide range of tasks, including identifying coverage areas, designing device placements, creating detailed maps drawings, conducting field activities, and managing logistics for deliveries. By working closely with our team, you will contribute to the seamless implementation and ongoing support of our state-of-the-art solutions.</p> <p> </p> <p>Join us in our mission to redefine the way buildings navigate and interact with their occupants. Apply now to become our Project Engineer! Job responsibilities include:</p> <p> <strong> </strong> </p> <p> <strong>Job Description </strong> </p> <ul> <li>Updating as-built drawings and ensuring CAD drawings accurately reflect the current state of the project, providing valuable support to the cartography team</li> <li>Identifying publicly accessible areas on CAD drawings as a basis for designing device placements</li> <li>Designing device placement for various projects and offering support to field operations in resolving any issues not aligned with the proposed designs.</li> <li>Enhancing indoor and outdoor maps by incorporating paths and routes, enabling site calibration activities and facilitating a seamless navigation experience</li> <li>Setting up projects, including CMS configuration, defining Nodes &amp; Edges, identifying and defining Points of Interest (POIs), and maps into CMS</li> <li>Installing PenguinIN hardware, such as beacons, equipment tagging, battery replacement, and other hardware installations.</li> <li>Conducting site calibration using specialized software tools to ensure precise positioning and optimal functionality</li> <li>Managing inventory and handling shipment logistics</li> <li>Providing guidance and support to field engineers, addressing technical challenges or issues they may encounter during project implementation.</li> </ul> <p> <strong> </strong> </p> <p> <strong>Qualifications </strong> </p> <ul> <li>College or University degree in engineering or any related field (0-2 years of experience)</li> <li>Proven experience in CAD software, cartography, or related fields</li> <li>Proficiency in creating and updating CAD drawings and ability to interpret and work with as-built drawings</li> <li>Technical skills in hardware installation and troubleshooting</li> <li>Excellent problem-solving skills and attention to detail</li> <li>Ability to work well in a team and collaborate with cross-functional teams.</li> <li>Effective communication skills, both written and verbal (Arabic &amp; English)</li> <li>Physical agility to perform tasks that may involve climbing ladders, extensive site walking, and other physical activities.</li> <li>Proficiency in using hardware tools such as pliers, wire crimpers, cable testers, and other related equipment.</li> <li>Possession of a valid driving license</li> <li>Willing to travel extensively (50% of the time)</li> </ul></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <b>About the Job </b> <br> <p > At Aspire, we're looking for a passionate and experienced <span>Data Engineer <span> <span> to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices. <span> <br> <span> <span>What You'll Do <span> <span> <br> </span></span></span></span></span></span></span></span></p><ul > <li > <p> <span> <span>Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Build and optimize batch and real-time data processing workflows. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Design and implement robust data models, data warehouses, and data lakes. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Ensure data quality, consistency, integrity, and security across the organization's data platforms. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Participate in designing and evolving the organization's data architecture and engineering standards. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices. <span> <br> </span></span></span></p></li><li > <p > Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability. <span > <br> <span> <span>What You'll Need <span> <span> <br> </span></span></span></span></span></p><ul > <li > <p > Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. <br> </p></li><li > <p> <span> <span>5+ years of experience in Data Engineering or a similar role. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong programming skills in Python, Java, or Scala. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong understanding of ETL/ELT processes, data modeling, and data integration best practices. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience working with large-scale distributed data systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience using Git or other version control systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong analytical, problem-solving, and communication skills. <br> </span></span></p></li><li > <p> <span> <span>Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with Docker and Kubernetes <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Experience implementing CI/CD pipelines for data engineering workflows <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Understanding of data governance, security, privacy, and compliance practices <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p > <span> <span>Experience working in Agile or Scrum environments.<br> </span></span></p><div ><br></div></li></ul></li></ul></div></section>