AI/ML Engineer

The Role

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, 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.
• Nice to have: natural language querying over structured data.
• Nice to have: RAG, agent orchestration, evidence binding, and LLM evaluation.
• Nice to have: 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 others will rely on.

Why This Role

Location

• Based in Riyadh, Saudi Arabia.