Senior Artificial Intelligence Engineer

Job not on LinkedIn

🕒 June 4

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $106.1k - $176.8k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Sentara Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1890

⚕️ Healthcare Insurance

Healthcare Insurance

Sentara Health is a leading healthcare system that operates over 300 sites of care in Virginia and northeastern North Carolina, including 12 acute care hospitals. The company is dedicated to providing exceptional patient care, fostering professional development, and maintaining a diverse workforce. Sentara Health aims to improve health every day and has been recognized for its clinical and operational performance, being named one of the top 15 health systems by IBM Watson Health. The organization supports its employees in achieving their full potential and encourages growth and innovation in the healthcare sector.

📋 Description

• Drive end-to-end delivery of production AI platforms—leading solution architecture, orchestrating model pipelines, designing multi-agent workflows, and creating reusable SDKs and frameworks. • Collaborate across product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant. • Define design patterns, optimize operational pipelines, and enable internal reuse of proven solutions. • Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production. • Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals while solving complex problems, ensuring HIPAA compliance and Responsible AI practices.

🎯 Requirements

• 5 years in production-grade AI/ML (Required) • 3 years building and operating production AI/ML systems - training, deployment, monitoring (Required) • One year GenAI /LLM or RAG solution delivered to production or equivalent experience, open-source contributions, or startups. (Required) • Bachelor's degree in Computer Science, Data Science, Computer Engineering, Mathematics/Statistics, or related field or equivalent practical experience delivering production AI/ML systems (Preferred) • Master’s or equivalent experience (Preferred) • Certification/Licensure Microsoft Certified: Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials (Preferred)

🏖️ Benefits

• Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down – $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development • Pet Insurance • Legal Resources Plan • Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.