Senior Artificial Intelligence (AI) Engineer - Remote

Posted 25 Days Ago
Hiring Remotely in Norfolk, VA, USA
In-Office or Remote
106K-177K Annually
Senior level
Healthtech
The Role
The Senior AI Engineer will manage the full lifecycle of AI systems, focusing on architecture, deployment, and compliance, ensuring scalable and cost-effective solutions.
Summary Generated by Built In

City/State

Norfolk, VA

Work Shift

First (Days)

Overview:

Sentara is hiring a Senior AI Engineer!

This position is fully remote.

Work Location:

Remote opportunities available 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 (state), West Virginia, Wisconsin, Wyoming

Overview

The Senior AI Engineer drives end-to-end delivery of production AI platforms—leading solution architecture, orchestrating model pipelines, designing multi-agent workflows, and creating reusable SDKs and frameworks. They work across product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant. Senior Engineers are responsible for defining design patterns, optimizing operational pipelines, and enabling internal reuse of proven solutions. 

 

As an AI Engineer, you will own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production. You will work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals all while solving complex problems, ensure HIPAA compliance and Responsible AI practices.  

 

Education 
  • 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)  

 

Experience 
  • 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)  

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $106,080 - $176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

Benefits: Caring For Your Family and Your Career
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.

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.

Skills Required

  • 5 years in production-grade AI/ML
  • 3 years building and operating production AI/ML systems
  • One year GenAI/LLM or RAG solution delivered to production
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