AI Engineer - Senior
Datamatics Technologies23 hours ago
Dubai, 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 use cases.
- Architect enterprise-scale retrieval-augmented generation solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, vector indexing, hybrid retrieval, re-ranking, agentic orchestration, and prompt orchestration.
- Define and operationalize responsible-AI controls for explainability, bias testing, content safety, hallucination reduction, and human-in-the-loop review.
- Design secure and scalable APIs and integration patterns with role-based access, data masking, private networking, and identity controls.
- Partner with data architects and engineers on AI-ready data products, feature pipelines, data-quality gates, and governed training and grounding data.
- Establish evaluation frameworks covering accuracy, relevance, latency, cost, automated regression testing, red-teaming, and release criteria.
- Own model and prompt versioning, CI/CD, monitoring, drift detection, observability, and production cost management for AI workloads.
- Apply UAE PDPL, Dubai Data Law, and DESC ISR requirements, including threat modeling, data residency, PII handling, and prompt/response logging.
- Lead and mentor junior AI engineers, conduct design and code reviews, establish engineering standards, and support estimation, planning, and delivery quality.
- Advise business and technology stakeholders on AI feasibility, risk, roadmaps, and technical trade-offs, and produce architecture documents, model cards, runbooks, and audit evidence.
- Build the capabilities of client counterparts in AI engineering, tooling, and responsible-AI operations for post-handover sustainability.
Requirements
- Required AI certification.
- 8+ years of software engineering experience, including at least 4 years designing, building, and deploying AI/ML or GenAI solutions in production and owning multiple enterprise-scale deployments.
- Proven experience serving as a technical lead, mentoring engineers, and owning solution architecture and delivery quality.
- Expert-level 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, and vector databases, including hybrid retrieval, evaluation, and fine-tuning.
- Experience designing scalable APIs and services using REST and FastAPI, containerization with Docker and Kubernetes, CI/CD pipelines, and infrastructure as code.
- Strong knowledge 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.
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.