Artificial Intelligence Engineer Jobs - Amman Jordan
763 Jobs Found
<p>Overview of the job</p><p>Join our team as an Interior Designer (Interior Design) in Amman, Jordan, where we focus on delivering interior design solutions for interaction effects in the user experience and ensuring customer satisfaction. We are a non-profit organization in the field of committed design, quality-driven, and we seek experienced and diverse volunteer talents.</p><p>Key responsibilities and duties</p><ul><li>Develop and coordinate interior design concepts from the initial stage to the finish, including achieving project goals, budget, and engineering drawings.</li><li>Prepare comprehensive visuals, boards, 3D models, and technical details required for successful entrants.</li><li>Conduct thorough reviews with clients and project teams to align with requirements and quality expectations.</li><li>Coordinate with engineers and contractors and apply details to specifications.</li><li>Monitor project costs as new materials start in terms of quality and price.</li><li>Prepare design documents, technical notes, and periodic updates on the status of organized events.</li><li>Adhere to health and infection control standards for local systems in Jordan.</li></ul><p>Requirements</p><ul><li>Experience ranging from 2 to 6 years in interior design and interior engineering, with notable projects (saved) for the young man.</li><li>Proficiency in common design software such as AutoCAD, SketchUp, Revit, and Adobe Creative Suite, with ability to produce executive drawings and specific plans.</li><li>Deep understanding of decor materials and finishes, and skills in color, lighting, and overall space coordination.</li><li>Strong ability to manage budget constraints and coordinate with current personnel.</li><li>Familiarity with related local standards and laws regarding reliability in Jordan.</li></ul><p>Skills required</p><ul><li>High-level creativity and design with an artistic sense and attention to detail.</li><li>Effectively present texts clearly to team members.</li><li>Strong analytical organizational skills, with creative thinking for analytical solutions.</li><li>Ability to handle work pressure and deadlines.</li><li>Teamwork, initiative, and openness to advanced learning.</li></ul><p>Benefits</p><ul><li>Competitive salary and performance incentive packages.</li><li>Dynamic work environment and opportunities for ongoing growth.</li><li>Health insurance and related work permits and client permits.</li><li>Opportunity to participate in diverse projects inside Jordan and abroad as needed.</li></ul><p>If you have a passion for design creativity and are looking for a job opportunity in a unified environment that supports your effectiveness, this job is for you. Please submit your recent design works and a brief profile that highlights your achievements in interior design.</p>
<p>We are seeking a sales engineer (male) and a sales engineer (female) or someone with experience to work in an industrial electrical and lighting company at the company’s branches in Amman, Irbid, and Zarqa.</p>
<p>The Albaroudi Company for Packaging Materials announces its need to bring on board distinguished competencies to its technical team in the department of "Preform", for the position:</p><p> Engineer or Technician of Industrial Machines for the Preform Production Department and Engineer or Technician of Mechanical for the Cap Department</p><p> </p><p><strong>Qualifications and technical requirements:</strong></p><p>Experience: Practical experience of no less than 6 years in maintenance of industrial machines.</p><p>Specialized skills: * Deep experience in maintenance and hydraulic and pneumatic systems (Hydraulics & Pneumatics).</p><p>High skill in disassembling, assembling, and calibrating injection molds and their periodic maintenance.</p><p>Ability to deal with cooling systems (Chillers) attached to production lines.</p><p>Implementation of preventive maintenance programs to ensure production continuity and reduce breakdowns.</p><p>Education: Technical diploma in mechanical engineering or equivalent from intensive practical experience.</p><p>Residence: Preference to residents of the following areas: (Al-Zarqa, Sahaab, Madaba).</p><p> </p><p><strong>Job benefits:</strong></p><p>Employee coverage under social security upon appointment.</p><p>Transportation insurance provided by the company.</p><p>Professional and stable work environment</p>
<p>#Required #Production Engineer for a fruit company that trades Heaven’s Fruit located opposite the Central Market inside Al-Sabil Commercial Complex </p><p>Job requirements: </p><p>Responsibilities</p><p>- Operate and monitor production lines.</p><p>- Manage workers inside the production hall.</p><p>- Quality control inside the production hall </p><p>- Prepare the necessary reports.</p><p>Qualifications</p><p>- Hold a bachelor's degree in electrical engineering or mechatronics</p><p>- Ability to handle industrial machines</p><p>- Fresh graduate or with 1-3 years of work experience </p><p>Required skills :</p><p>Leadership personality </p><p>Ability to work in a team </p><p>Ability to work under pressure</p><p>Job conditions:</p><p>- Residence location close to the workplace </p><p>- The position is male-only</p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p></p>
<p>Electrical and project engineer, handling site visits to housing developments and projects </p>
<p>Senior Software Engineer – Flutter and Firebase and Go</p><p>Location: Amman, Jordan – On-site<br>Employment Type: Full-time</p><p>About the Company:</p><p>We are an American company that buys and recycles cars in the Chicago area, with a 10-person operations team in Jordan.</p><p>Our daily operations run on software we develop internally, including dispatch management, tow-truck fleet management, vehicle intake, parts inventory, and payroll and employee management.</p><p>We are seeking a Senior Software Engineer to join our engineering team and help develop, maintain, and operate a live production platform used daily by drivers, dispatchers, and yard staff.</p><p>Responsibilities:</p><ul><li>Develop and maintain Flutter applications for web, Android, and iOS.</li><li>Develop and manage Firebase services, including Firestore, Authentication, Cloud Functions, and FCM.</li><li>Develop and maintain APIs using Go and PostgreSQL.</li><li>Implement features end-to-end from requirements analysis to testing, deployment, and production verification.</li><li>Diagnose operational issues and fix outages affecting users and staff quickly.</li><li>Write clean, maintainable code with clear tests and reviews.</li><li>Prepare small, organized Merge Requests linked to work tickets.</li><li>Manage build and release processes via GitLab CI, Codemagic, TestFlight, and Shorebird.</li><li>Apply best practices for data protection and system security.</li><li>Monitor app and service performance post-release and verify new versions work correctly.</li><li>Collaborate directly with management and operations teams to understand problems and translate them into practical software solutions.</li></ul><p>Basic Requirements:</p><ul><li>Strong, hands-on experience with Flutter and Dart for mobile and web apps.</li><li>Advanced Firebase experience, especially Firestore, Auth, Cloud Functions, and FCM.</li><li>Experience building backend systems with Go, or strong Node.js experience with willingness to work in Go.</li><li>Good PostgreSQL and SQL/database design experience.</li><li>Experience with REST APIs and external system integration.</li><li>Good understanding of Git, GitLab, and CI/CD processes.</li><li>Experience releasing Android and iOS apps and managing versions.</li><li>Ability to handle production systems and data securely and responsibly.</li><li>Ability to work independently and take ownership from start to finish.</li><li>Good written English, especially for tickets and technical documentation.</li><li>Proven hands-on experience shipping real production apps or systems.</li></ul><p>Nice to Have:</p><ul><li>Experience with Shorebird and direct Flutter updates.</li><li>Experience with Codemagic, TestFlight, and Google Play Console.</li><li>Experience with Docker or Google Cloud Platform.</li><li>Experience with maps, notifications, location tracking, or fleet management systems.</li><li>Experience with operational, logistics, or internal enterprise apps.</li></ul><p>Nature of Work:</p><p>This is a hands-on delivery role, not a meetings-focused position. You will be expected to take features from implementation through testing and production verification.</p><p>The position is based at our office in Amman, Jordan. Some overlap with US Central Time will be required. Exact working hours will be discussed during the interview.</p><p>Compensation:</p><ul><li>Competitive salary based on demonstrated experience and technical ability.</li><li>Payment in JOD or USD equivalent.</li><li>Opportunity to work on a real, stable production product used daily.</li><li>Clear ownership, visible output, and direct influence over the product.</li></ul><p>How to Apply:</p><p>Please Send the following</p><ol><li>Your CV.</li><li>Your GitHub or GitLab profile.</li><li>A short note describing the most meaningful production system or application you have shipped.</li><li>A clear explanation of your personal contribution and the technologies you used.</li><li>Your expected salary and availability to start.</li></ol><p>Real production work and repositories matter more to us than certificates.</p><p> </p>
<p><h4>Job description</h4>
<p><strong>Job role - Senior/Principal MEP Engineer (Building Services)</strong><br>
Verbal and written communication in English is mandatory.</p>
<p><strong>Strong experience:</strong></p>
<ul>
<li>8–15 years of mechanical building services design experience</li>
<li>Strong HVAC design background</li>
<li>Commercial, residential, mixed-use project experience</li>
<li>ASHRAE and NFPA knowledge</li>
<li>GCC/Middle East project experience</li>
</ul>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Support and deliver mechanical design packages for building services projects</li>
<li>Work on HVAC, plumbing, drainage, and fire protection systems</li>
<li>Ensure designs comply with international codes (ASHRAE, NFPA, BS) and local authority requirements</li>
<li>Contribute to sustainable design solutions, including energy-efficient systems</li>
<li>Coordinate with multidisciplinary teams, clients, and contractors</li>
<li>Prepare and review technical deliverables</li>
<li>Support project delivery from concept through to commissioning</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>Bachelor’s degree in Mechanical Engineering</li>
<li>8–15 years of experience in mechanical building services design</li>
<li>Good knowledge of international standards and local authority requirements</li>
<li>Experience working on building projects (commercial, residential, mixed-use)</li>
<li>Strong coordination and communication skills</li>
<li>Middle East experience preferred</li>
</ul>
<p>With over 90 years' combined experience, NES Fircroft 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 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>Job description</h4>
<p><strong>Job role - Senior/Principal MEP Engineer (Building Services)</strong><br>
Verbal and written communication in English is mandatory.</p>
<p><strong>Strong experience:</strong></p>
<ul>
<li>8–15 years of mechanical building services design experience</li>
<li>Strong HVAC design background</li>
<li>Commercial, residential, mixed-use project experience</li>
<li>ASHRAE and NFPA knowledge</li>
<li>GCC/Middle East project experience</li>
</ul>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Support and deliver mechanical design packages for building services projects</li>
<li>Work on HVAC, plumbing, drainage, and fire protection systems</li>
<li>Ensure designs comply with international codes (ASHRAE, NFPA, BS) and local authority requirements</li>
<li>Contribute to sustainable design solutions, including energy-efficient systems</li>
<li>Coordinate with multidisciplinary teams, clients, and contractors</li>
<li>Prepare and review technical deliverables</li>
<li>Support project delivery from concept through to commissioning</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>Bachelor’s degree in Mechanical Engineering</li>
<li>8–15 years of experience in mechanical building services design</li>
<li>Good knowledge of international standards and local authority requirements</li>
<li>Experience working on building projects (commercial, residential, mixed-use)</li>
<li>Strong coordination and communication skills</li>
<li>Middle East experience preferred</li>
</ul>
<p>With over 90 years' combined experience, NES Fircroft 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 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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Key Responsibilities:</p><ul><li><strong>Data Integration and ETL Development</strong>: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows to improve performance and scalability.</li><li><strong>Data Infrastructure and Platform Management</strong>: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements. Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li><li><strong>Data Governance and Metadata Management</strong>: Collaborate with the data governance team to establish data policies, standards, and procedures. Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability. Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>5-6 years of experience as a Data Engineer or a related role in a data-driven organization. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services. Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb). Expertise in data modeling, data quality management, and metadata management. Proficient in programming languages such as Python, or Java, and experience with SQL. Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</p><p>Preferred Qualifications:</p><ul><li>Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li><li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li><li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li></ul><p>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</p><p></p></section>
<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 & 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 & 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>
<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>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>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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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 & Technical Oversight<ul><li>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</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 & 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 & 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 & 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 & 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 & 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 & 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 & Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops & Model Lifecycle Management</li><li>Enterprise Integration & API Design</li><li>Data Architecture & Data Engineering</li><li>AI Governance, Ethics & Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI & 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>
<p><h4>Description</h4>
<p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p>
<p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p>
<p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p>
<ul>
<li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li>
<li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li>
<li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li>
<li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li>
<li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li>
<li>Build automated reporting, monitoring, and business intelligence workflows</li>
<li>Conduct workflow discovery sessions and identify automation opportunities across departments</li>
<li>Create technical documentation, architecture diagrams, and deployment guidelines</li>
<li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li>
<li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li>
<li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li>
<li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li>
<li>Understand prompt engineering, AI orchestration, and agent-based systems</li>
<li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li>
<li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li>
<li>Have experience working with structured and unstructured data</li>
<li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li>
<li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li>
<li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li>
<li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li>
<li>Have built customer service, sales, HR, finance, or operations AI agents</li>
<li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li>
<li>Think in systems and enjoy simplifying complex business processes</li>
<li>Communicate clearly and take ownership of delivery</li>
<li>Have strong troubleshooting and problem-solving skills</li>
<li>Are comfortable working directly with clients and stakeholders</li>
<li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li>
<li>Have a track record of reducing manual processes through intelligent automation</li>
<li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li>
<li>Continuously identify opportunities to introduce AI and automation into business operations</li>
</ul></p><p></p>