Senior AI Platform & MLOps Engineer

LE0010 Stanford Health Care; Newark (CA); On-site; USD 109,000 - 145,000; Full time

Job summary

Stanford Health Care in California seeks a Senior AI Platform & ML Ops Engineer to architect the layered infrastructure for autonomous systems. You will be the Master Engineer, blending Kubernetes, Terraform, LangGraph, and tool-calling logic into a robust AI factory that connects to healthcare APIs and patient data.

You will lead full-stack development of scalable microservices, implement ML model pipelines, monitor observability and safety guardrails, and mentor junior engineers while staying

Qualifications

• Bachelor’s or higher degree in Computer Science, Engineering or related field.
• Three or more years of directly related experience in MLOps/AI platforms.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and IaC tools (Terraform, CloudFormation).

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and environments.
• Develop and implement CI/CD pipelines for AI/ML models.
• Collaborate with data scientists and software engineers on training, deployment, and inference pipelines.
• Monitor AI/ML systems for high availability and performance.
• Mentor junior team members and stay current with MLOps trends.

Skills

MLOps

Kubernetes

Terraform

Python

CI/CD

Cloud platforms

Containerization

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

GitLab CI/CD

CloudFormation

Job description

Stanford Health Care in California seeks a Senior AI Platform & ML Ops Engineer to architect the layered infrastructure for autonomous systems. You will be the Master Engineer, blending Kubernetes, Terraform, LangGraph, and tool-calling logic into a robust AI factory that connects to healthcare APIs and patient data.

You will lead full-stack development of scalable microservices, implement ML model pipelines, monitor observability and safety guardrails, and mentor junior engineers while staying