AI/ML Engineer

About the Role

Key Responsibilities

• Build AI assistants across various parallel use cases within the program.
• Implement conversational querying, retrieval, grounding, evidence presentation, and agent orchestration.
• Integrate AI components with approved enterprise data platforms, APIs, and knowledge sources.
• Develop controls to validate generated answers and minimize 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.
• Collaborate with Data Scientists, Data Engineers, architects, and business subject matter experts.

Qualifications and Experience

• A minimum of 5 years of experience with hands-on delivery of generative AI, machine learning, or conversational AI solutions.
• Strong proficiency in Python, coupled with experience in 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.
• Preferred Skills
• Experience with Databricks, ADLS, Azure AI services, or Azure AI Foundry.
• Familiarity with natural language querying over structured data.
• Knowledge of RAG (Retrieval-Augmented Generation), agent orchestration, evidence binding, and LLM evaluation.
• Experience with production deployment of enterprise AI solutions.
• Work Environment and Focus
• This role offers the opportunity to build enterprise AI assistants for daily use across multiple use cases. The position emphasizes grounding, validation, and responsible AI practices within a collaborative team setting. The work is based in Riyadh.