AI/ML Engineer with Medicaid Experience

• Prior work in Medicaid / MMIS / MES , provider enrollment, credentialing, or other CMS-regulated healthcare systems.
• 4+ years in AI/ML engineering or applied ML in production systems.
• Hands-on with Azure AI : Azure OpenAI / AI Foundry, Azure ML, Azure AI Search, and/or Azure AI Document Intelligence.
• Strong experience building RAG systems (chunking, embeddings, retrieval evaluation, grounding, citation, safe refusal patterns).
• Proficiency in Python for AI/ML services; comfort consuming/producing REST APIs.
• Practical MLOps experience: versioning, automated evaluation, monitoring, and secure cloud deployment.
• Clear understanding of assistive vs authoritative AI in regulated workflows; ability to design human-in-the-loop systems.
• Working knowledge of HIPAA (or equivalent regulated-data) practices: least privilege, secrets management, PHI/PII handling in AI pipelines.
• Ability to turn product requirements into testable AI acceptance criteria and ship iteratively.

None flagged.