AI/ML Engineer

Must-Haves: • 6+ years of experience in an engineering role • Experience with Azure, AI Foundry, and Microsoft Fabric • Model Registry & LLM Usage - Understanding of available models • Previous experience working in a large scale environment • An understanding on how data governance works and interacts with regulatory tools • Platform Enablement - Focus on enabling others, not direct model building • Must come from a regulatory environment Plusses • Healthcare Background • Epic/FHIR/HL7 Experience • Bachelor's degree Job Description: A healthcare client of Insight Global is seeking a senior-level AI/ML Engineer leader with hands-on experience in Azure, AI Foundry, and Microsoft Fabric. They will need to have a deep understanding of model registries, LLM usage, and agent technologies, with proven ability to work with large-scale structured and unstructured data. This needs to be someone who collaborates closely with infrastructure and DevOps teams to build secure, reusable patterns, enable others to develop models, implement governed registries and access controls, and translate regulatory requirements into practical standards.