Network Engineer Jobs in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a highly technical AI Solutions Architect who is passionate about solving complex business problems using AI.<br> This is a hands-on role for someone who enjoys understanding how businesses operate, designing intelligent AI-powered solutions, and bringing those solutions to life through automation and software development.<br> You'll work across a variety of AI initiatives, from understanding business challenges and designing solution architectures to building scalable, production-ready systems that create measurable business value.<br> We're looking for someone who doesn't just execute ideas, but actively contributes them.<br> Someone who is naturally curious, constantly exploring new AI capabilities, and proactively identifying opportunities to improve how we work, solve problems, and create value.<br> What You'll Do ❏ Analyze business processes and identify opportunities where AI and automation can create measurable value.<br> ❏ Design end-to-end AI solution architectures, workflows, and automation strategies before implementation.<br> ❏ Translate business requirements into scalable technical solutions.<br> ❏ Recommend the most appropriate technologies and implementation approach for each solution.<br> ❏ Build AI-powered applications, intelligent assistants, and workflow automations.<br> ❏ Design and build solutions using no-code platforms, low-code tools, custom software, or a combination of them, depending on what best fits the problem.<br> ❏ Integrate AI solutions with business platforms using APIs, automation technologies, and custom software.<br> ❏ Rapidly prototype ideas and validate concepts before full implementation.<br> ❏ Continuously identify opportunities where AI and automation can improve business operations, productivity, and decision-making.<br> ❏ Proactively propose, prototype, and implement new AI initiatives that create measurable business value.<br> ❏ Challenge existing processes and recommend better ways of solving problems using AI and automation.<br> ❏ Research, evaluate, and implement emerging AI technologies where they create real business value.<br> ❏ Continuously optimize and improve existing AI systems and automations.<br> ❏ Document solution architectures, technical decisions, and implementation approaches.<br> ❏ Collaborate with cross-functional teams throughout discovery, design, implementation, and optimization.<br> You're Our Match If You.<br>.. ❏Have a proven track record of designing, architecting, and building AI-powered applications, intelligent systems, or workflow automations.<br> ❏ Can analyze business problems and translate them into practical AI solutions.<br> ❏ Think in systems and enjoy designing solution architectures before writing code.<br> ❏ Can evaluate multiple implementation approaches and select the one best suited for the problem.<br> ❏ Are proficient in Python and have a strong software engineering foundation.<br> ❏ Have experience integrating APIs and third-party platforms.<br> ❏ Have experience building workflow automations using no-code platforms, low-code tools, custom software, or a combination of them.<br> ❏ Understand modern AI technologies and know when and how to apply them effectively.<br> ❏ Can balance technical feasibility with business objectives.<br> ❏ Naturally identify opportunities where AI can simplify, improve, or transform the way people work.<br> ❏ Think like a product builder, constantly looking for new ideas worth exploring and validating.<br> ❏ Challenge assumptions and recommend better approaches rather than simply executing requirements.<br> ❏ Have strong analytical, problem-solving, and communication skills.<br> ❏ Are proactive, take ownership, and enjoy turning ideas into working solutions with minimal supervision.<br></span> </div>

<p><h4>Description</h4> <p>Are you ready to take the lead in driving technical excellence? Optimiza is looking for a dynamic and engaging technical team leader to inspire and guide our talented team of engineers and developers. As the technical team leader, you will play a pivotal role in shaping project success, fostering collaboration, and delivering cutting-edge solutions that exceed client expectations.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and motivate a team of technical professionals to achieve project goals with a passion for quality and innovation.</li> <li>Plan, coordinate, and oversee technical project deliverables while ensuring timely and successful completion.</li> <li>Collaborate closely with stakeholders, project managers, and cross-functional teams to align technical efforts with business objectives.</li> <li>Drive continuous improvement by encouraging knowledge sharing, adopting best practices, and promoting a culture of learning.</li> <li>Identify risks and challenges early and implement effective solutions to keep projects on track.</li> <li>Communicate complex technical concepts clearly and engagingly to both technical team members and non-technical stakeholders.</li> <li>Stay ahead of the curve by keeping up with the latest technology trends and integrating relevant advancements into team practices.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or related field.</li> <li>Years of experience: 6+ years</li> <li>Technical knowledge: system administration, good knowledge in Windows, Linux, and networking (infrastructure support background)</li> <li>Good troubleshooting skills including networking and system administration.</li> <li>Customer support job experience.</li> </ul> <h4>Preferred skills</h4> <ul> <li>API traffic flow knowledge</li> <li>Database</li> <li>Active Directory and group policy</li> </ul> <h4>Benefits</h4> <ul> <li>Annual bonus</li> <li>Class A health insurance</li> <li>Training and development</li> <li>Performance bonus</li> </ul></p><p></p>

<p><h4>Job summary</h4> <p>Assists department head in managing budget, capital expenditures, preventative maintenance and energy conservation. Accountable for maintaining the building and grounds with particular attention towards safety, security and asset protection. Assigns, tracks and follows up on status of work assigned to staff and contractors. Helps to increase guest and employee satisfaction through effective communications and training.</p> <h4>Candidate profile</h4> <p><strong>Education and experience</strong></p> <ul> <li>High school diploma or GED; 4 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> <li>OR</li> <li>2-year degree from an accredited university in Building and Construction, Engineering, Mechanics, or related major; 2 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> </ul> <h4>Core work activities</h4> <p><strong>Supporting management of property operations</strong></p> <ul> <li>Supervises distribution of repair work orders.</li> <li>Ensures property policies are administered fairly and consistently.</li> <li>Assists in effectively planning, scheduling and evaluating preventative maintenance programs.</li> <li>Establishes and maintains open, collaborative relationships with employees.</li> <li>Monitors timeliness and quality of completion of repair work orders.</li> <li>Supervises Engineering and related areas in absence of the Director of Engineering.</li> <li>Assists in managing the physical plant including equipment, refrigeration, HVAC, plumbing, water treatment, electrical and life safety systems.</li> <li>Ensures that regular ongoing communication occurs with employees in order to create awareness of business objectives, communicate expectations and recognize performance.</li> <li>Recommends or arranges for additional services such as painting, repair work, renovations, and the replacement of furnishings and equipment.</li> <li>Selects and orders or purchases new equipment, supplies, and furnishings.</li> <li>Supervises the day to day operations of Engineering and related departments.</li> </ul> <p><strong>Maintaining property standards</strong></p> <ul> <li>Inspects and evaluates the physical condition of facilities in order to determine the type of work required.</li> <li>Maintains accurate logs and records as required.</li> <li>Operates generators and fire pumps as necessary.</li> <li>Provides emergency response services 24/7.</li> <li>Repairs equipment (e.g., refrigeration, laundry) as necessary.</li> <li>Ensures all employees have the proper supplies, equipment and uniforms.</li> </ul> <p><strong>Ensuring exceptional customer service</strong></p> <ul> <li>Empowers employees to provide excellent customer service.</li> <li>Emphasizes guest satisfaction during all departmental meetings and focuses on continuous improvement.</li> <li>Sets a positive example for guest relations.</li> </ul> <p><strong>Conducting human resources activities</strong></p> <ul> <li>Helps train employees in safety procedures.</li> <li>Supports a departmental orientation program for employees to receive the appropriate new hire training to successfully perform their job.</li> <li>Communicates performance expectations in accordance with job descriptions for each position.</li> <li>Ensures disciplinary procedures and documentation are completed according to Standard and Local Operating Procedures (SOPs and LSOPs) and support the Peer Review Process.</li> <li>Assists as needed in the interviewing and hiring of employee team members with the appropriate skills.</li> <li>Participates in the employee performance appraisal process, providing feedback as needed.</li> <li>Uses all available on the job training tools for employees.</li> <li>Solicits employee feedback.</li> <li>Supervises staffing levels to ensure that guest service, operational needs and financial objectives are met.</li> </ul> <p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p> <p>At Westin, we are committed to empowering guests to regain control and enhance their well-being when they need it most while traveling, ensuring they can be the best version of themselves. To achieve the brand mission of becoming the preeminent wellness brand in hospitality, we need passionate and engaged associates to bring the brand’s unique programming to life. We want our associates to embrace their own well-being practices both on and off property. You are the ideal Westin candidate if you are passionate; you are active and take pride in how you maintain your well-being; you are optimistic; you are adventurous. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Concept Design</p><p>3D Visualization / Revit/3D max corona &amp; vrey /Ai </p><p>Space Planning &amp; Test Fit</p><p>Developed Design</p><p>Material &amp; Finish Selection</p><p>FF&amp;E </p><p>Joinery &amp; Detailed Design</p><p>3D Visualization / Revit/3D max corona &amp; vrey /Ai</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>1. Concept Design</p><ul><li>Understand client requirements, project brief, budget, and design objectives.</li><li>Develop overall design concept and design narrative.</li><li>Prepare mood boards, material palettes, and color schemes.</li><li>Develop initial space-planning concepts.</li><li>Establish furniture, fixtures, finishes, and equipment (FF&amp;E) direction.</li><li>Prepare initial 3D views/renders where required.</li></ul><p>2. Space Planning &amp; Test Fit</p><ul><li>Review architectural layouts and develop interior space planning.</li><li>Prepare furniture layouts and circulation studies.</li><li>Coordinate room functions, capacities, and operational requirements.</li><li>Prepare test-fit layouts based on approved occupancy schedules.</li><li>Coordinate changes with architectural, MEP, structural, and other disciplines.</li></ul><p>3. Developed Design</p><ul><li>Develop approved concept into detailed interior design.</li><li>Prepare detailed floor plans.</li><li>Prepare reflected ceiling plans.</li><li>Prepare flooring and finish plans.</li><li>Prepare wall elevations and interior elevations.</li><li>Develop feature walls, decorative elements, partitions, and architectural details.</li><li>Develop furniture layouts and FF&amp;E selections.</li><li>Develop lighting design coordination with the electrical/lighting consultant.</li></ul><p>4. Material &amp; Finish Selection</p><ul><li>Prepare detailed material and finish schedules.</li><li>Select flooring, wall finishes, ceilings, paint, stone, timber, metal, glass, fabrics, etc.</li><li>Prepare material boards and samples.</li><li>Coordinate material selections with the approved budget.</li><li>Review alternative materials where required.</li></ul><p>5. FF&amp;E Design</p><ul><li>Develop furniture layouts and furniture specifications.</li><li>Prepare FF&amp;E schedules.</li><li>Specify furniture, lighting fixtures, accessories, artwork, and decorative elements.</li><li>Review supplier/manufacturer proposals and alternatives.</li><li>Coordinate custom furniture and loose furniture requirements.</li></ul><p>6. Joinery &amp; Custom Elements</p><ul><li>Design reception counters, wardrobes, wall units, display units, feature walls, etc.</li><li>Prepare joinery design drawings and details.</li><li>Provide dimensions, materials, finishes, hardware, and design intent.</li><li>Review shop drawings submitted by contractors/suppliers.</li><li>Review samples and mock-ups.</li></ul><p>7. Detailed Design / Tender Documentation</p><p>Typical drawings include:</p><ul><li>General arrangement plans.</li><li>Furniture layouts.</li><li>Setting-out plans.</li><li>Flooring plans.</li><li>Ceiling plans.</li><li>Finish plans.</li><li>Internal elevations.</li><li>Detailed sections.</li><li>Joinery details.</li><li>Door and hardware schedules, where applicable.</li><li>FF&amp;E schedules.</li><li>Material and finish schedules.</li><li>Lighting coordination drawings.</li><li>Design specifications.</li><li>BOQ information / quantity take-off, if included in the contract.</li></ul><p>8. 3D Visualization</p><ul><li>Produce 3D models and high-quality renders for key spaces.</li><li>Prepare design presentations.</li><li>Incorporate approved client comments.</li><li>Issue final approved renders for presentation/marketing purposes.</li></ul><p>9. Consultant Coordination</p><ul><li>Coordinate interior design with architectural drawings.</li><li>Coordinate with MEP, electrical, structural, lighting, AV, IT, kitchen, acoustics, signage, and specialist consultants as applicable.</li><li>Identify and resolve design conflicts.</li><li>Attend coordination meetings.</li><li>Update drawings based on approved coordination requirements.</li></ul><p><br></p></div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/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>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions.<br> The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle.<br> This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.<br> Key Responsibilities Lead the end-to-end implementation and deployment of Oracle Aconex solutions.<br> Design scalable Aconex solution architectures based on business and project requirements.<br> Gather and analyze business and technical requirements and translate them into solution designs.<br> Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.<br> Develop implementation strategies, deployment plans, and solution roadmaps.<br> Lead technical workshops and provide expert guidance to business and project stakeholders.<br> Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.<br> Plan and execute document and data migration activities from legacy systems to Oracle Aconex.<br> Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.<br> Ensure compliance with document control standards, governance policies, and industry best practices.<br> Troubleshoot complex technical issues and recommend effective solutions.<br> Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.<br> Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.<br> Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.<br> 8–10+ years of relevant experience , including extensive hands-on experience with Oracle Aconex.<br> Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.<br> Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.<br> Experience designing enterprise document management solutions and implementation strategies.<br> Experience integrating Oracle Aconex with enterprise systems and external applications.<br> Strong understanding of document management, project information management, and engineering/construction workflows.<br> Excellent analytical, problem-solving, communication, and stakeholder management skills.<br> Experience leading technical teams and coordinating implementation activities.<br> Preferred Qualifications Oracle Aconex certifications are highly desirable.<br> Experience in engineering, construction, infrastructure, real estate, or capital projects.<br> Knowledge of document control best practices and project information management.<br> Experience with APIs, system integrations, and data migration.<br> Familiarity with cloud-based enterprise applications and digital transformation initiatives.<br> Experience working in remote and cross-functional project environments.<br> Key Skills Oracle Aconex Architecture Oracle Aconex Implementation &amp; Deployment Solution Design Technical Leadership Document Control &amp; Document Management Workflow Configuration System Integration Data &amp; Document Migration User &amp; Security Configuration Stakeholder Management Technical Documentation Testing (SIT/UAT) &amp; Go-Live Support Problem Solving &amp; Troubleshooting</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Senior Officer QA Engineer for our backend team at Almosafer. You will be part of the QA team focused on delivering the best experiences for our customers using your testing skills, as well as ensuring the best experience through fast and working software. You ll be the confidence aspect of the team.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2-3 Years of solid experience within Software testing</li><li>JAVA or any related programming language (one at least)</li><li>Hands-on git command line</li><li>Experience with Rest Assured Framework and API testing</li><li>Strong knowledge of Software QA methodologies, testing types, tools, and processes.</li><li>Analytical thinking.</li><li>Attention to details.</li><li>Problem analysis and problem-solving.</li><li>Teamwork.</li><li>Project tracking tools</li><li>Agile familiar and have the ability to remote work</li><li>Travel and Tourism experience is a plus</li><li>Degree in Computer Science, Engineering or a related subject.</li></ul><p></p></section>

<p><h4>About us:</h4> <p>MBC Group is the largest owner and operator of satellite TV and radio networks, VOD, and digital services, based in Diplomatic Quarter, Riyadh. It broadcasts a portfolio of Arabic and Western entertainment channels as well as managing the Al Arabiya news channel. In addition, MBC Group owns and operates Shahid: the world’s leading Arabic VOD and SVOD streaming platform by MBC Group, offering premium content to Arab families, including binge worthy exclusive Shahid Original Series; Shahid Premieres; Arabic movies fresh off the box-office; live TV channels in true HD quality.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain scalable, resilient cloud infrastructure across AWS and GCP.</li> <li>Develop and manage Kubernetes environments (EKS, GKE) and containerized services (ECS, Docker).</li> <li>Build and optimize CI/CD pipelines (e.g., Jenkins) to ensure fast, reliable software delivery.</li> <li>Implement Infrastructure as Code using Terraform and adopt GitOps practices with tools like ArgoCD.</li> <li>Automate operations with Bash and Python, while monitoring performance and ensuring high availability.</li> <li>Collaborate across teams, define best practices, and mentor junior engineers while leading technical initiatives.</li> </ul> <h4>Requirements:</h4> <ul> <li>5+ years of proven experience as a DevOps Engineer.</li> <li>Strong hands-on expertise with AWS and/or GCP.</li> <li>Deep knowledge of Kubernetes and container orchestration (EKS, GKE, ECS).</li> <li>Proficiency in CI/CD tools, especially Jenkins.</li> <li>Solid experience with Infrastructure as Code (Terraform) and GitOps tools like ArgoCD.</li> <li>Strong skills in Docker, scripting (Bash/Python), and cloud networking, security, and monitoring.</li> </ul> <h4>Preferred requirements:</h4> <ul> <li>AWS, GCP, or Kubernetes certifications.</li> <li>Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).</li> <li>Experience in the media or streaming industry.</li> <li>A passion for automation and continuous improvement.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards.<br> The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects.<br> Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations.<br> Develop architecture blueprints, technical specifications, and solution design documentation.<br> Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements.<br> Provide technical leadership and guidance to development teams throughout the software development lifecycle.<br> Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards.<br> Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements.<br> Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions.<br> Identify technical risks, dependencies, and constraints, and develop mitigation strategies.<br> Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms.<br> Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation.<br> Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.<br> Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Proven experience in solution or technical architecture, software design, and enterprise application development.<br> Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles.<br> Experience with modern development frameworks, databases, and DevOps practices.<br> Excellent analytical, problem-solving, and communication skills.<br> Ability to collaborate effectively with cross-functional teams and influence technical decisions.<br> Relevant architecture or cloud certifications are considered an advantage.<br></span> </div>

<p><h4>Description</h4> <p><strong>About Maqsam</strong><br> Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <p><strong>Your opportunity</strong><br> As a senior AI agent architect, you will play a key role in designing, optimizing, and scaling AI-powered customer experiences for leading businesses across the region. You will be responsible for translating client requirements, business flows, and knowledge bases into reliable, high-performing AI agents that deliver accurate and natural interactions. This role involves structuring and improving knowledge sources, designing prompts and workflows, evaluating AI agent behavior, and continuously enhancing performance through testing and analysis. As the bridge between technical teams and client needs, you will collaborate closely with product, engineering, and customer success teams to ensure AI solutions are practical, scalable, and aligned with business goals. You will also contribute to defining best practices for AI agent architecture, prompt quality, and conversational design while helping shape the future of Arabic AI experiences at Maqsam.</p> <h4>Key responsibilities</h4> <ul> <li>Review client requirements, knowledge base documents, URLs, and business flows to assess readiness for AI agent implementation.</li> <li>Structure and optimize knowledge bases to improve retrieval quality, contextual accuracy, and agent reliability.</li> <li>Design, tune, and iterate on prompts, system messages, and agent instructions to improve response quality.</li> <li>Set up and improve AI agent workflows, actions, and interaction logic.</li> <li>Identify gaps, edge cases, and failure points in AI agent behavior and propose practical improvements.</li> <li>Define testing approaches for AI agents, including stress testing, scenario-based testing, and quality checks.</li> <li>Review testing results and client feedback, then translate them into clear improvements.</li> <li>Collaborate with product, engineering, customer success, and other teams to align AI agent behavior with client needs.</li> <li>Document decisions, issues, and recommendations clearly for internal teams and clients.</li> <li>Help define best practices for AI agent design, knowledge base structuring, prompt quality, and evaluation.</li> <li>Support and guide less experienced team members when needed.</li> </ul> <h4>Who we’re looking for</h4> <ul> <li>Strong technical background with hands-on experience in conversational AI, LLMs, AI agents, or chatbot platforms.</li> <li>Practical experience in prompt engineering, workflow design, automation systems, or AI agent configuration.</li> <li>Good understanding of knowledge base structuring, content quality, and how content impacts AI agent performance.</li> <li>Ability to analyze AI agent behavior, identify root causes of failures, and propose clear solutions.</li> <li>Experience with testing AI systems, including scenario testing, prompt evaluation, or quality assurance.</li> <li>Strong critical thinking and attention to detail.</li> <li>Excellent written and verbal communication skills, especially when explaining technical decisions or giving feedback.</li> <li>Ability to work effectively with cross-functional teams, including product, engineering, customer success, and client-facing teams.</li> <li>At least 2–3 years of relevant work experience is preferred.</li> <li>Experience with RAG systems, MCPs, external tools, APIs, or voice agents is a plus.</li> <li>Ability to work in a fast-changing environment and take ownership of ambiguous problems.</li> </ul> <h4>What we provide you</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority.</li> <li>A collaborative and friendly environment with flexible hours.</li> <li>Many opportunities to learn, grow, and become a world-class professional.</li> <li>A fair compensation.</li> <li>A culture that thrives on open communication and transparency.</li> <li>First-class health insurance.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></p><p></p>