{"id":4073594,"url":"https://alion.io/job/datamatics-technologies-ai-engineer-senior-datamatics-technologies","title":"AI Engineer - Senior - Datamatics Technologies","company":{"id":4413925,"name":"Datamatics Technologies","domain":"datamaticstechnologies.com","url":"https://alion.io/company/datamaticstechnologies","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false}],"status":"live","first_seen_at":"2026-11-11T14:33:16Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T14:33:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI Engineer - Senior\nFieldDetailsLocationAbu Dhabi and Dubai, UAEEngagement ModelFull-timeLanguageArabic, EnglishEmployment TypeOCSDuration6 monthsRole Summary\nAI only earns trust in government when it is accurate, explainable and secure. The Senior AI Engineer leads the design, build and deployment of production-grade AI and GenAI solutions on governed, high-quality data. They own the technical architecture and quality of AI solutions end to end, turning complex use cases into reliable applications that are measurable, auditable and compliant with UAE AI and data regulation.\nThe role works alongside business analysts, data architects, data engineers and the Data Governance Council, and acts as the technical lead and mentor for junior AI engineers. Its job is to take AI from prototype to production at scale, using the Microsoft Azure AI ecosystem on top of the Purview-governed data foundation, and to set the engineering and responsible-AI standards the team follows.\nKey Responsibilities\nLead the end-to-end design, development and deployment of AI/ML and GenAI applications, including RAG assistants, document intelligence, classification, prediction and Arabic/English NLP use cases, from use-case shaping through to production operations.\nArchitect enterprise-scale retrieval-augmented generation solutions using Azure OpenAI / Azure AI Foundry, Azure AI Search, vector indexing, hybrid retrieval and re-ranking, agentic and prompt orchestration, and grounding on curated Gold-layer data, optimising for accuracy, latency and cost.\nDefine and operationalise responsible-AI controls covering explainability, bias testing, content safety, hallucination controls and human-in-the-loop review, aligned to the UAE Charter for the Development and Use of AI and Dubai's AI ethics principles, and present them to the Data Governance Council.\nDesign secure, scalable APIs and integration patterns that connect AI capabilities with enterprise applications, portals and analytics, with role-based access, data masking, private networking and identity controls enforced.\nPartner with data architects and data engineers to define AI-ready data products, feature pipelines and data-quality gates, and ensure training and grounding data meets DQ and classification controls.\nEstablish the evaluation framework: accuracy, relevance, latency and cost KPIs, automated regression testing, red-teaming and go/no-go release criteria applied before each release.\nOwn CI/CD, model and prompt versioning, monitoring, drift detection, observability and cost management for AI workloads in production.\nLead the application of UAE PDPL, Dubai Data Law and DESC ISR requirements to AI workloads, including threat modelling, data residency, PII handling and prompt/response logging, in coordination with security and data-protection teams.\nAct as technical lead for the AI workstream: lead and mentor junior AI engineers, run design and code reviews, set engineering standards and best practices, and support estimation, planning and delivery quality.\nAdvise senior business and technology stakeholders on AI feasibility, risk, roadmap and trade-offs, and translate business needs into clear technical solutions and delivery plans.\nProduce and review model cards, solution architecture and design decisions, runbooks and audit evidence for each AI component.\nLead capability building for Client's counterparts in AI engineering practices, tooling and responsible-AI operations so that solutions can be sustained after handover.\nMust Have\nAI certification.\n8+ years in software engineering, with at least 4 years designing, building and deploying AI/ML or GenAI solutions in production, including ownership of multiple enterprise-scale deployments.\nProven experience as a technical lead, guiding and mentoring a team of engineers and owning solution architecture and delivery quality.\nExpert-level Python skills, with deep experience in frameworks such as LangChain, Semantic Kernel, PyTorch, scikit-learn or Hugging Face, and in building agentic and multi-step LLM workflows.\nDeep hands-on experience with Azure OpenAI / Azure AI Foundry, Azure AI Search, Azure Machine Learning and vector databases, including hybrid retrieval, evaluation and fine-tuning approaches.\nStrong experience designing scalable APIs and services (REST/FastAPI), containerization (Docker/Kubernetes), CI/CD pipelines and infrastructure as code.\nStrong command of MLOps/LLMOps, model evaluation, prompt engineering, red-teaming, observability and responsible-AI practices.\nSolid understanding of lakehouse architecture, Microsoft Fabric and governed data consumption through Purview.\nWorking knowledge of UAE AI and data regulation, including the UAE AI Charter, UAE PDPL, the Dubai Data Law and DESC ISR, with experience applying it in delivery.\nExcellent English communication, documentation and stakeholder-management skills.\nGood to Have\nArabic proficiency and Arabic NLP experience.\nRelevant Microsoft Azure AI or architecture certifications (for example Azure AI Engineer Associate or Azure Solutions Architect Expert).\nExperience in government or other regulated sectors.","description_format":"text","description_chars":5141,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Arabic","level":"Advanced (C1)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Consulting & Migration","IT Staffing & Staff Augmentation","Analytics 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