JJobsSonar

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

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