At Sentara, one of our values is to keep you safe.
Sentara and many other companies across the US are being targeted by cyber criminals who are impersonating representatives of the company, claiming to have job offers. Sentara will never ask you for banking or personal identification information via email or text. We will never ask an applicant to pay money for training, supplies, or other so-called expenses. If you suspect you have received a fraudulent job offer, e-mail taadmin@sentara.com.

Award-winning: Sentara is a Virginia and Northeastern North Carolina based not-for-profit integrated healthcare provider that has been in business for over 131 years. Offering more than 500 sites of care including 12 hospitals, PACE (Elder Care), home health, hospice, medical groups, imaging services, therapy, outpatient surgery centers, and an 858,000 member health plan.  The people of the communities that we serve have nominated Sentara “Employer of Choice” for over ten years.  U.S. News and World Report has recognized Sentara as having the Best Hospitals for 15+ years.  Sentara offers professional development and a continued employment philosophy!

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 leangle, compliance, AI Governance, and Security requirements.
Key Responsibilities
Agentic Architecture & Design
  • 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.
API Integration & Development
  • 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.
ML Engineering & Implementation
  • 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.
Deployment & Operations
  • 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.
Governance & Documentation
  • 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
  • 3+ years of hands-on experience in production-grade AI/ML development.
  • Strong Python skills with TensorFlow/PyTorch.
  • Deep experience with Azure AI (AI Foundry, Document Intelligence Center, AI Search, OpenAI, Azure Agent Service).
  • Skilled in RAG pipelines, LLM prompt engineering, and multi-agent orchestration (with MCP used for tool integration).
  • Proficient in REST/gRPC APIs, Docker, Kubernetes, and CI/CD tools (GitHub Actions, Azure DevOps).
  • Clear communicator with the ability to engage cross-functional teams.
Preferred Qualifications
  • Microsoft Azure AI Engineer Certification
  • Healthcare/life sciences experience.
  • Experience with ML registries (MLflow, Azure ML), A/B testing, and chatbot analytics.
  • Familiarity with OpenAI fine-tuning (GPT-3.x/4), encryption, and privacy-preserving methods.
  • Open-source contributions or published work in AI/ML.

An elderly woman is being helped by a nurse
An elderly woman is being helped by a nurse
An elderly woman is being helped by a nurse

Culture In Action

At Sentara, our differences are our strengths. The unique backgrounds, skills, and experiences that each Sentara colleague brings to work are what make Sentara special and what allows us to deliver excellent service and care to our patients, members, and communities.

Two female doctors are laughing together in a hallway
Two female doctors are laughing together in a hallway

Benefits

At Sentara we are committed to consistently enhancing our training, advancement tracks, work-life benefits, and more. Our goal is to make you feel more excited to be here every day!

Two female doctors are laughing together in a hallway

Sentara 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.

Talent Network

Join our talent network to sign up for job alerts and be matched with great opportunities!

Upcoming Events

Explore our Events

Talent Network

Join our talent network to sign up for job alerts and be matched with great opportunities!

Chat With Us

Upcoming Events

Explore our Events

');