Role Summary
AI only earns trust in government when it is accurate, explainable and secure. The AI Software Engineer designs, builds and deploys production-grade AI and GenAI solutions on governed, high-quality data. They turn use cases into reliable applications that are measurable, auditable and compliant with UAE AI and data regulation.
The role is alongside business analysts, data architects, data engineers and the Data Governance Council. Its job is to take AI from prototype to production, using the Microsoft Azure AI ecosystem on top of the Purview-governed data foundation.
Key Responsibilities
- Design, develop and deploy AI/ML and GenAI applications, including RAG assistants, document intelligence, classification, prediction and Arabic/English NLP use cases.
- Build retrieval-augmented generation solutions using Azure OpenAI / Azure AI Foundry, Azure AI Search, vector indexing, prompt orchestration and grounding on curated Gold-layer data.
- Embed 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.
- Expose AI capabilities through secure APIs and integrate them with enterprise applications, portals and analytics, with role-based access and data masking enforced.
- Work with data engineers to prepare AI-ready datasets and feature pipelines, and ensure training and grounding data meets DQ and classification controls.
- Define accuracy, relevance, latency and cost KPIs, and run structured evaluations before each release.
- Apply UAE PDPL, Dubai Data Law and DESC ISR requirements to AI workloads, including data residency, PII handling and prompt/response logging.
- Produce model cards, solution designs, runbooks and audit evidence for each AI component.
- Coach Client's counterparts in AI engineering practices, tooling and responsible-AI operations so that solutions can be sustained after handover.
Must Have
- AI Certifications.
- 5+ years in software engineering, with at least 2 years building and deploying AI/ML or GenAI solutions in production.
- Strong Python skills, with experience in one or more frameworks such as LangChain, Semantic Kernel, PyTorch, scikit-learn or Hugging Face.
- Hands-on experience with the Azure AI ecosystem (Azure OpenAI / Azure AI Foundry, Azure AI Search, Azure Machine Learning, vector databases), with depth in at least one or two areas.
- Experience with API development (REST/FastAPI) and CI/CD pipelines; working knowledge of Docker.
- Understanding of MLOps/LLMOps, model evaluation, prompt engineering and responsible-AI practices.
- Kubernetes exposure.
- Familiarity with lakehouse architecture, Microsoft Fabric and governed data consumption through Purview.
- Awareness of UAE AI and data regulation, including the UAE AI Charter, UAE PDPL, the Dubai Data Law and DESC ISR.
- Arabic proficiency is advantage.
Skills Required
- AI certifications
- 5+ years of software engineering experience
- At least 2 years building and deploying AI, ML, or GenAI solutions in production
- Strong Python skills
- Experience with LangChain, Semantic Kernel, PyTorch, scikit-learn, or Hugging Face
- Hands-on experience with the Azure AI ecosystem, including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, or vector databases
- API development experience with REST or FastAPI
- Experience with CI/CD pipelines
- Working knowledge of Docker
- Understanding of MLOps and LLMOps
- Understanding of model evaluation, prompt engineering, and responsible AI practices
- Kubernetes exposure
- Familiarity with lakehouse architecture, Microsoft Fabric, and Microsoft Purview
- Awareness of UAE AI and data regulations, including the UAE AI Charter, UAE PDPL, Dubai Data Law, and DESC ISR
- Arabic proficiency
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
