Senior Director, AI/ML Engineering - Remote , MN preferred
UnitedHealth Group
- Location
- Eden Prairie, Minnesota
- Work model
- Remote
- Level
- Staff
- Salary
- $203.2k – $348.4k/yr
Skills
About this role
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. As Senior Director of AI/ML Engineering, you will build and scale the AI/ML engineering function within our Enterprise Digital Experience Technology organization. Leading a team of engineers across multiple scrum teams, you will expand the organization to support enterprise-wide growth as AI solutions scale across corporate functions. This leadership role combines deep AI/ML technical expertise, platform engineering leadership, and organizational leadership to deliver reusable AI capabilities, establish agent-ready data strategies, and achieve measurable business outcomes across complex enterprise data environments. You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in MN, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities
Build and scale the AI/ML engineering function that will drive Enterprise Functions AI Transformation leveraging Forward Deployed Engineering concepts Build a team of AI/ML Engineers and Forward Deployed Engineers that will scale AI solutions across the enterprise Design, develop, and deploy AI-powered solutions, platforms, and automations to address complex enterprise business challenges, with an emphasis on the safe and responsible use of AI Deliver reusable AI capabilities, internal developer platforms, engineering accelerators, shared UI frameworks, and agent-ready data capabilities that accelerate AI deployment and adoption across corporate functions Partner directly with business function stakeholders (e.g., Finance, HR, Legal, Operations) to reimagine, redesign, and transform corporate processes through AI-enabled solutions Drive the technical vision and execution of advanced AI architectures, taking solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams Establish data quality, governance, and agent-ready data strategies to support seamless enterprise AI adoption and ensure data integrity Leverage enterprise-approved AI tools and modern engineering technologies to streamline workflows, automate complex tasks, and drive continuous improvement across engineering teams Evaluate emerging AI trends, frameworks, and architecture patterns to inform platform solution design, technical roadmap creation, and strategic innovation Define and enforce enterprise engineering standards for security, responsible AI, data architecture, platform engineering, and governance in large, fragmented enterprise environments You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related technical field (or 4+ years of equivalent software engineering / technical leadership experience in lieu of a degree) 12+ years of experience in software engineering, platform engineering, or AI/ML engineering 5+ years of direct people management experience leading software engineering organizations and managing engineering managers, with a proven track record of leading organizations of 15+ employees across multiple Agile/Scrum teams within an AIDLC framework Demonstrated experience taking AI solutions from prototype/MVP through enterprise production