Required qualifications
• 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.
Remote
Skills:
Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Content Management Systems (CMS), HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Medicaid, Production Systems, Provider Credentialing, Python Programming/Scripting Language, REST (Representational State Transfer), Shallow Parsing
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The Dignify Solutions, LLC