Senior MLOps Engineer – AI Platform & Cloud Infra

Devopsroles; Town of Newark (WI); On-site; USD 109,000 - 145,000; Full time

Job summary

Stanford Health Care seeks a Senior AI Platform & ML Ops Engineer to architect scalable AI infrastructure, blending Kubernetes-based orchestration with LangGraph and tooling for guardrails. You will shape end-to-end MLOps pipelines, collaborate with data science and software teams, and advance production-grade AI deployments in healthcare workflows.

The role emphasizes secure DevOps practices, multi-cloud operations, and mentoring peers while evolving the AI ecosystem to support patient care,

Qualifications

• Bachelor’s or higher in Computer Science, Engineering or related field.
• 3+ years of directly related experience in MLOps or AI platforms.
• Experience with cloud platforms (AWS/Azure/GCP) and IaC tools.
• Proficiency in Python or Go/Rust for automation and tooling.

Responsibilities

• Design, build and maintain scalable infrastructure for AI/ML systems and cloud environments.
• Develop and implement CI/CD pipelines for AI/ML models and apps.
• Collaborate with data scientists and software engineers to optimize pipelines.
• Monitor and troubleshoot AI/ML systems for high availability and performance.
• Maintain multi-cloud model training/inference pipelines and registry.
• Ensure security, data privacy and compliance in workflows.
• Mentor junior engineers and stay updated on MLOps trends.

Skills

MLOps

Cloud platforms

Docker

Kubernetes

CI/CD

Python

Go/Rust

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Terraform

CloudFormation

GitHub Actions

GitLab CI/CD

Arize / LangSmith

Job description

Stanford Health Care seeks a Senior AI Platform & ML Ops Engineer to architect scalable AI infrastructure, blending Kubernetes-based orchestration with LangGraph and tooling for guardrails. You will shape end-to-end MLOps pipelines, collaborate with data science and software teams, and advance production-grade AI deployments in healthcare workflows.

The role emphasizes secure DevOps practices, multi-cloud operations, and mentoring peers while evolving the AI ecosystem to support patient care,