AI Engineer

AI Engineer

Virginia Beach, VA

First (Days)

Overview :

As an AI Engineer, you will design, develop, and deploy AI-powered services across Azure AI Resources including : document intelligence center, AI Search, Azure Agent Service, and retrieval-augmented generation (RAG) pipelines. You'll implement agentic frameworks and use Model Context Protocol (MCP) to define and expose tools / APIs so agents can safely invoke them within multi-agent workflows. Working with cross-functional teams, you'll help translate clinical, member and operational needs into scalable, compliant (e.g., HIPAA) AI solutions following all applicable language, compliance, AI Governance, and Security requirements.

Key Responsibilities :

• Design agentic frameworks for multi-agent orchestration; use MCP specifically to declare tool schemas / connectors and enable safe tool / API invocation (state and task coordination are handled by the orchestrator, not MCP).
• Help design AI solutions using Azure AI Services (AI Foundry, Document Intelligence Center, AI Search, Open AI, Azure Agent Service).
• Design secure RAG pipelines leveraging LLM inference and internal knowledge sources.
• Help design and build APIs to deliver AI capabilities to systems like Chatbot, AI Applications, EHR and member portals.
• Integrate clinical / member / operational APIs (e.g., FHIR, scheduling systems) with AI pipelines.
• Write production-grade Python, .Net code for model orchestration, data ingestion, and endpoint development.
• Tune prompts and optimize OpenAI / LLM performance for clinical content.
• Build chatbots with AI Foundry, Azure Agent Service and integrate OCR / Key-Value extraction via Azure Document Intelligence Center.
• Containerize and deploy AI microservices (Docker, Kubernetes, Azure App Services).
• Implement CI / CD pipelines and monitor models for drift, system health, and performance using observability tools.
• Collaborate with Security, Legal, Compliance and AI Governance teams to ensure Responsible AI practices and HIPAA compliance.
• Maintain solution documentation, runbooks, and technical specifications.

Education :

Must : Highschool, GED

Preferred : MS or PhD in Computer Science, AI / ML, Mechatronics, Electrical Engineering, or a related field.

Certification / Licensure :

No specific certification or licensure requirements

Required Qualifications :

Preferred Qualifications :

Benefits : Caring For Your Family and Your Career

Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.

In support of our mission "to improve health every day," this is a tobacco-free environment.

For positions that are available as remote work, Sentara Health employs associates in the following states : Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.