AI Summary
Sentara is seeking a Senior MLOps & Generative AI Engineer to lead enterprise AI initiatives in healthcare. This role involves designing, building, and maintaining scalable ML infrastructure and deploying GenAI applications. The ideal candidate will have 5+ years of experience in production software/ML systems and 1+ year in production GenAI or LLM applications.
Key Highlights
Lead enterprise AI initiatives focusing on MLOps and Generative AI in healthcare.
Design, build, and maintain scalable ML infrastructure and CI/CD pipelines.
Architect, deploy, and optimize GenAI applications using LLMs, RAG, and vector databases.
Key Responsibilities
Design, build, and maintain scalable ML infrastructure, CI/CD pipelines, monitoring, governance, and automation.
Architect, deploy, and optimize GenAI applications using LLMs, RAG architectures, vector databases, and AI evaluation frameworks.
Collaborate with AI Scientists, Data Engineers, and Product teams to operationalize AI/ML solutions.
Ensure platform scalability, security, and compliance in healthcare environments (PHI, HIPAA).
Technical Skills Required
Benefits & Perks
Medical
Dental
Vision
Adoption, Fertility, Surrogacy Reimbursement
Paid Time Off
Parental & Caregiver Leave
Disability and Life Insurance
401k/403B with Employer Match
Tuition Assistance
Student Debt Pay Down
Pet Insurance
Legal Resources Plan
Nice to Have
Healthcare experience with EPIC, HIPAA, and AI governance.
GPU optimization
multi-agent systems
event-driven architectures
model fine-tuning (LoRA, RLHF)
Mentoring experience
Job Description
Job Description
Senior MLOps & Generative AI Engineer
Location: Virginia Beach, VA (Fully Remote)
Machine Learning & Artificial Intelligence
Work Shift: First (Days)
Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer to lead enterprise AI initiatives in healthcare, focusing on MLOps and Generative AI.
Key Responsibilities
- MLOps Engineering: Design, build, and maintain scalable ML infrastructure, CI/CD pipelines, monitoring, governance, and automation.
- Generative AI Engineering: Architect, deploy, and optimize GenAI applications using LLMs, RAG architectures, vector databases, and AI evaluation frameworks.
- Collaborate with AI Scientists, Data Engineers, and Product teams to operationalize AI/ML solutions.
- Ensure platform scalability, security, and compliance in healthcare environments (PHI, HIPAA).
- 5+ years in production software/ML systems.
- 1+ year in production GenAI or LLM applications.
- Strong Python skills and experience with PyTorch, Hugging Face, TensorFlow.
- Hands-on experience with RAG, vector databases, and LLM orchestration frameworks.
- Cloud experience (AWS, Azure, GCP), Kubernetes, CI/CD, and MLOps practices.
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- Healthcare experience with EPIC, HIPAA, and AI governance.
- GPU optimization, multi-agent systems, event-driven architectures, or model fine-tuning (LoRA, RLHF).
- Mentoring experience.
- 5+ years of relevant experience with a degree, or 7+ years without a degree.
- Experience in lieu of Bachelor's degree accepted.
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None required.
Compensation
Base pay: $91,416.00 - $152,380.80 annually (Full Time). Additional compensation may be available.
Benefits
- Medical, Dental, Vision
- Adoption, Fertility, Surrogacy Reimbursement up to $10,000
- Paid Time Off, Parental & Caregiver Leave
- Disability and Life Insurance
- 401k/403B with Employer Match
- Tuition Assistance ($5,250/year) and Student Debt Pay Down ($10,000)
- Pet Insurance and Legal Resources Plan
- Annual discretionary bonus eligible
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