Lead AI/ML Engineer - Remote

UnitedHealth Group • Eden Prairie, MN

1d • $145,500 - $249,500 • Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a Lead AI/ML Engineer to drive the design, development, and deployment of AI-powered solutions that transform how our business leverages data and automation. This role operates at the intersection of business, data science, architecture, and engineering, leading scalable AI systems and shaping AI strategy.

Requirements

• 5+ years of experience in software, data, or AI/ML engineering
• 5+ years of solid programming in Python or Java
• 5+ years of experience with large-scale data platforms
• 2+ years of experience with cloud platforms (Azure/AWS/GCP)
• 2+ years of experience leading geographically distributed engineering teams
• Proven solid solution architecture experience for distributed systems
• Proven ability to translate business problems into AI solutions
• Proven solid communication and leadership skills

Nice To Haves

• Experience designing and deploying production-grade AI/ML systems
• Experience with generative AI, LLMs, and agent frameworks
• Healthcare or regulated domain experience
• Experience with Snowflake, Databricks, or modern data platforms
• Experience with AI governance and evaluation frameworks

Responsibilities

• Lead the design, development, and deployment of AI/ML solutions
• Build and productionize machine learning models and AI systems
• Partner with business stakeholders, architects, and engineering teams
• Define and implement end-to-end AI/ML workflows
• Develop AI-enabled applications using NLP, LLMs, and predictive analytics
• Establish AI engineering best practices including MLOps and CI/CD
• Lead technical design and architecture decisions
• Implement responsible AI practices and governance
• Mentor and guide engineering teams
• Lead geographically distributed teams across time zones and drive execution
• Drive solution architecture for enterprise-scale AI/ML systems
• Collaborate with enterprise architects to shape long-term strategy

Benefits

• comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed