Senior MLOps & Generative AI Engineer - Remote

Job summary

Virginia Beach
Software Developer

Work model

Fully remote
2 weeks ago
Job description

Overview

Sentara is hiring a Senior MLOps & Generative AI Engineer to lead enterprise AI initiatives in healthcare, focusing on MLOps and Generative AI.

Location: Virginia Beach, VA (Fully Remote)

Work Shift: First (Days)

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.

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