The Dignify Solutions, LLC
Posted 60 days agoVerified live 10h ago
AI/ML Engineer with Medicaid Experience - Remote
Brief overview
Remote
4+ yrsMinimum
MedicaidMMISMESProvider EnrollmentCredentialingCMS-regulated Healthcare SystemsAI/ML EngineeringApplied Machine LearningAzure AIAzure OpenAIAzure AI FoundryAzure Machine LearningAzure AI SearchAzure AI Document IntelligenceRetrieval-Augmented Generation (RAG) SystemsPythonREST APIs
About the company
The Dignify Solutions, LLCthedignify.com
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
Job description
Summary
The Dignify Solutions, LLC is a company focused on providing innovative solutions, and they are seeking an AI/ML Engineer with Medicaid experience. The role involves working with AI/ML technologies in the context of healthcare systems, particularly those regulated by CMS.
Skills
- 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
Qualifications
Must Haves
- 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
