Senior Artificial Intelligence (AI) Engineer

Senior AI Engineer role at Sentara Hospitals in Norfolk, VA with remote work options.

Responsibilities

• Lead end to end delivery of production AI platforms, guiding solution architecture, orchestrating model pipelines, crafting multi agent workflows, and building reusable SDKs and frameworks.
• Collaborate with product, engineering, security, and governance teams to keep AI systems scalable, observable, cost efficient, and compliant.
• Define design patterns, optimize operational pipelines, and promote internal reuse of proven solutions.
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production.
• Leverage Azure OpenAI, Azure AI Search, multi agent orchestration, and API integrations for EHR, CRM, and member portals.
• Address complex problems while upholding HIPAA requirements and Responsible AI practices.

Requirements

• Minimum of five years in production grade AI/ML work.
• At least three years building and operating production AI/ML systems, including training, deployment, and monitoring.
• One year of GenAI/LLM or RAG solutions delivered to production, or equivalent experience through open source contributions or startups.

Technologies

• Azure OpenAI
• Azure AI Search

Benefits

• Medical, dental, and vision plans
• Adoption, fertility, and surrogacy reimbursement up to $10,000
• Paid time off and sick leave
• Paid parental and family caregiver leave
• Emergency backup care
• Long term and short term disability, plus critical illness plans
• Life insurance
• 401(k)/403(b) with employer match
• Tuition assistance up to $5,250 annually and access to Guild Education discounts
• Student debt payoff up to $10,000
• Certification reimbursement and free access to CEUs and professional development
• Pet insurance
• Legal resources plan
• Annual discretionary bonus opportunity based on system performance and eligibility

Certifications / Licensure

• Microsoft Certified: Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials (preferred)

Education

• Bachelor’s degree or equivalent practical experience

Experience

• 5 years in production-grade AI/ML (Required)
• 3 years building and operating production AI/ML systems including training, deployment, and monitoring (Required)
• One year GenAI/LLM or RAG solution delivered to production or equivalent experience via open-source contributions or startups (Required)