Lead AI Platform Engineer: End-to-End AI Lifecycle

UnitedHealth Group; Eden Prairie (MN); Hybrid; USD 146,000 - 250,000; Full time

Job summary

Optum Tech is seeking a Lead AI/ML Engineer to design and build an end-to-end AI lifecycle governance platform. You will establish technical integrations, define data contracts, and mentor teams across intake, governance, routing, and monitoring.

Remote work is supported from anywhere in the U.S., with in-office requirements in Minneapolis or Washington, D.C. for some roles. You will shape responsible AI solutions and contribute to enterprise risk management.

Qualifications

• Bachelor's degree or 4+ years of software engineering or AI/ML engineering experience in lieu of a degree.
• 5+ years of hands-on AI/ML engineering or software engineering experience.
• 3+ years designing multi-component distributed systems or platform architectures.
• 3+ years developing production-grade services and integrations using Python.
• 2+ years designing governance, runtime monitoring, observability, or lifecycle management.

Responsibilities

• Design, develop, and deploy AI-powered solutions with responsible use of AI.
• Architect end-to-end AI lifecycle governance linking components.
• Design integrations connecting pre-production governance with runtime monitoring.
• Define data flows and integration contracts for traceability and compliance.
• Build core integration components with testing and low-level design.
• Guide cross-functional teams across intake, governance, routing, and observability.
• Use enterprise AI tools to streamline workflows and tasks.
• Evaluate trends and platforms to inform design and innovation.

Skills

AI/ML Engineering

Software Engineering

Distributed Systems

Leadership

Collaboration

Education

Bachelor's degree or 4+ years experience in lieu of degree

Bachelor's or Master's in CS/DS/AI

Tools

Python

Docker

Kubernetes

Cloud (Azure/AWS/GCP)

Job description

Optum Tech is seeking a Lead AI/ML Engineer to design and build an end-to-end AI lifecycle governance platform. You will establish technical integrations, define data contracts, and mentor teams across intake, governance, routing, and monitoring.

Remote work is supported from anywhere in the U.S., with in-office requirements in Minneapolis or Washington, D.C. for some roles. You will shape responsible AI solutions and contribute to enterprise risk management.