About the Role
The AI/ML Engineer designs, develops, tests, and supports enterprise AI and machine learning solutions across a programme running several use cases in parallel. The work covers conversational assistants, retrieval and grounding, analytical capabilities, agent workflows, and the validation controls that keep answers accurate and trustworthy.
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What You’ll Do
- Build AI assistants across the programme’s parallel use cases
- Implement conversational querying, retrieval, grounding, evidence presentation, and agent orchestration
- Integrate AI components with approved enterprise data platforms, APIs, and knowledge sources
- Build controls that validate generated answers and reduce unsupported responses
- Contribute to shared AI platform components and reusable services
- Support testing, benchmarking, User Acceptance Testing (UAT), controlled deployment, technical documentation, and knowledge transfer
- Work closely with Data Scientists, Data Engineers, architects, and business subject matter experts
What We’re Looking For
- 5+ years of experience, with hands-on delivery of generative AI, machine learning, or conversational AI solutions
- Strong Python skills, plus experience with APIs, structured data, retrieval techniques, and model evaluation
- Experience with Azure AI and data services, or equivalent enterprise platforms
- Understanding of security, access control, logging, monitoring, and responsible AI requirements
- Nice to have: Databricks, ADLS, Azure AI services or Azure AI Foundry; natural language querying over structured data; Retrieval-Augmented Generation (RAG), agent orchestration, evidence binding, and Large Language Model (LLM) evaluation; production deployment of enterprise AI solutions
You’ll Thrive Here If You
- Care about whether an AI answer is actually right, not just whether it sounds right
- Enjoy shipping to production and supporting what you build
- Like working across several use cases at once in a collaborative team
- Want to help build reusable platform components that others will rely on
Why This Role
- Build enterprise AI assistants that people will use day to day
- Work across multiple use cases rather than a single narrow project
- Strong focus on grounding, validation, and responsible AI
- Based in Riyadh
