Senior AI/ML Engineering Lead & MLOps Architect

Optum; Eden Prairie (MN); On-site; USD 146,000 - 250,000; Full time

Benefits offered by this job

Comprehensive benefits package

Equity stock purchase

401k contribution

Incentive and recognition programs

Job summary

Optum Insight is advancing how health data flows to connect care providers, payers and consumers. We seek a senior ML/AI engineering leader to architect scalable models, deploy pipelines, and guide teams across training, deployment, and monitoring in cloud environments.

The role focuses on building robust, production-ready ML systems with governance and responsible AI practices, mentoring engineers, and collaborating with product leadership to translate business needs into scalable solutions.

Qualifications

• BS/BE/BTech/MCA (CSE/IT) or equivalent experience.
• 7+ years of professional software engineering experience.
• 4+ years building, deploying, and maintaining ML models in production.
• 3+ years leading engineering projects or providing technical guidance to software/ML teams.
• 3+ years designing MLOps architectures, containerization (Docker, Kubernetes), and cloud infra (AWS/Azure/GCP).
• 3+ years building CI/CD automated pipelines and model monitoring systems.
• 2+ years hands-on Python and core ML libraries (PyTorch, TensorFlow, Scikit-learn).

Responsibilities

• Architect, build, and deploy scalable ML/AI models and MLOps pipelines into production.
• Lead engineering teams in model training, deployment, inference, and monitoring architectures on modern cloud platforms.
• Evaluate emerging AI/ML techniques to drive tech stack improvements and innovation.
• Collaborate with cross-functional teams to translate business requirements into production-ready capabilities.
• Establish best practices for CI/CD, data pipelines, model governance, and responsible AI.

Skills

Software engineering

ML production

MLOps

CI/CD

Python

Cloud platforms

Team leadership

Education

BS/BEng/MCA (CSE/IT) or equivalent

Master’s degree (preferred)

Tools

Docker

Kubernetes

AWS

Azure

GCP

PyTorch

TensorFlow

Job description

Optum Insight is advancing how health data flows to connect care providers, payers and consumers. We seek a senior ML/AI engineering leader to architect scalable models, deploy pipelines, and guide teams across training, deployment, and monitoring in cloud environments.

The role focuses on building robust, production-ready ML systems with governance and responsible AI practices, mentoring engineers, and collaborating with product leadership to translate business needs into scalable solutions.