
Senior MLOps & Generative AI Engineer - Remote
ChatGPT Jobs · Virginia Beach, VA
AI/MLRemote
About this role
The Senior MLOps & Generative AI Engineer will lead enterprise AI initiatives in healthcare, focusing on MLOps and Generative AI. Responsibilities include designing scalable ML infrastructure, deploying GenAI applications, and ensuring compliance with healthcare regulations like HIPAA.
Skills & technologies
Must have
- MLOps
- Generative AI
- LLM
- AWS
- Azure
- GCP
- AI/ML
- Python
- PyTorch
- Hugging Face
- TensorFlow
- RAG
- Kubernetes
- CI/CD
Nice to have
- EPIC
- HIPAA
- AI Governance
Read full description
About the job
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.
City & Local Guides
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).
Required Qualifications
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.
Preferred Qualifications
Healthcare experience with EPIC, HIPAA, and AI governance.
GPU optimization, multi-agent systems, event-driven architectures, or model fine-tuning (LoRA, RLHF).
Mentoring experience.
Education & Experience
5+ years of relevant experience with a degree, or 7+ years without a degree.
Experience in lieu of Bachelor's degree accepted.
Certification/Licensure
None required.
Machine Learning & Artificial Intelligence
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
Keywords: MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face, TensorFlow, RAG, EPIC, HIPAA, AI Governance
$91,416–$152,380 / yearApply now