AI Engineer - Senior
Datamatics Technologies23 hours ago
Abu Dhabi, United Arab EmiratesSenior
Responsibilities
- Lead the end-to-end design, development, deployment, and operation of AI/ML and GenAI applications, including RAG assistants, document intelligence, classification, prediction, and Arabic/English NLP solutions.
- Architect enterprise-scale RAG solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, vector indexing, hybrid retrieval, re-ranking, agentic orchestration, prompt orchestration, and curated Gold-layer data.
- Define responsible-AI controls for explainability, bias testing, content safety, hallucination prevention, and human-in-the-loop review.
- Design secure, scalable APIs and enterprise integrations with role-based access, data masking, private networking, and identity controls.
- Partner with data architects and engineers to define AI-ready data products, feature pipelines, data-quality gates, and compliant training and grounding data.
- Establish evaluation frameworks covering accuracy, relevance, latency, cost, automated regression testing, red-teaming, and release criteria.
- Own CI/CD, model and prompt versioning, monitoring, drift detection, observability, and cost management for production AI workloads.
- Apply UAE PDPL, Dubai Data Law, and DESC ISR requirements to AI workloads, including threat modeling, data residency, PII handling, and prompt/response logging.
- Lead and mentor junior AI engineers, run design and code reviews, set engineering standards, and support estimation, planning, and delivery quality.
- Advise business and technology stakeholders on AI feasibility, risk, roadmap, and technical trade-offs.
- Produce and review model cards, solution architecture documents, design decisions, runbooks, and audit evidence.
- Build client capability in AI engineering practices, tooling, and responsible-AI operations.
Requirements
- AI certification is required.
- At least 8 years of software engineering experience, including at least 4 years designing, building, and deploying AI/ML or GenAI solutions in production.
- Experience owning multiple enterprise-scale AI deployments and serving as a technical lead for engineering teams and solution architecture.
- Expert Python skills and deep experience with frameworks such as LangChain, Semantic Kernel, PyTorch, scikit-learn, or Hugging Face.
- Hands-on experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, vector databases, hybrid retrieval, evaluation, and fine-tuning.
- Experience designing scalable REST/FastAPI APIs and services, Docker/Kubernetes containerization, CI/CD pipelines, and infrastructure as code.
- Strong command of MLOps/LLMOps, model evaluation, prompt engineering, red-teaming, observability, and responsible-AI practices.
- Understanding of lakehouse architecture, Microsoft Fabric, and governed data consumption through Purview.
- Working knowledge of the UAE AI Charter, UAE PDPL, Dubai Data Law, and DESC ISR, with experience applying these requirements in delivery.
- Excellent English communication, documentation, and stakeholder-management skills.
- Arabic proficiency and Arabic NLP experience are preferred.
- Relevant Microsoft Azure AI or architecture certifications, such as Azure AI Engineer Associate or Azure Solutions Architect Expert, are preferred.
- Experience in government or other regulated sectors is preferred.
Benefits
- Full-time six-month engagement.
- Location in Abu Dhabi or Dubai, UAE.
- Arabic and English language environment.
- Client capability-building and knowledge-transfer responsibilities are included.
Tech Stack
Categories
About Datamatics Technologies
Datamatics Technologies is a London-headquartered, privately held IT services firm founded in 2016 that delivers onsite and offshore data analytics and data science solutions. It provides resource augmentation and managed services—on time-and-materials or fixed-price terms—covering data warehousing, BI, ETL, information security, and cloud platform engineering with emphasis on Oracle Cloud. The company serves telecom, finance, government, and manufacturing clients, primarily across the Middle East and Africa.