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Envision Employment Solutions is seeking an AI ML Engineer to design, develop and support enterprise AI/ML solutions across multiple use cases. You will work on conversational assistants, retrieval and grounding, analytics, and trustworthy validation controls.
Based in Riyadh, you will collaborate with data scientists, engineers and business SMEs to deliver scalable AI platforms. The role emphasizes hands-on delivery, production readiness, and cross-functional teamwork in a fast-paced IT
Envision Employment Solutions is currently looking for an AI ML Engineer for one of our partners, an IT Services and IT Consulting company.
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.
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.
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; RAG, agent orchestration, evidence binding and LLM evaluation; production deployment of enterprise AI solutions.
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.