Director of AI​/ML Engineering - NJ​/MN Office-Based, Remote

Position: Director of AI/ML Engineering - NJ/MN Office-Based, Remote Considered
Job d:

Location:

Minnetonka, Minnesota, United States Salary: $176,700 - $302,900/year

Job Area:
Technology Company:
United Health Group 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.

Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

As a Director of AI/ML Engineering within our team, you will lead a highly skilled engineering team focused on building, deploying, and scaling responsible AI-powered and technology solutions. You will collaborate with cross-functional partners to drive strategic innovation, implement modern solutions, and deliver high-impact AI capabilities that directly improve healthcare outcomes. In this role, you will manage a team of 45+ engineering professionals to build, deploy, and maintain high-impact, reliable solution that transform and shape the future of healthcare technology on an enterprise scale.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

Lead a 45+ member engineering organization in driving digital transformation through AI-enabled, customer-centric solutions and modern technology platforms

Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible AI practices

Leverage enterprise-approved AI tools and modern engineering practices to streamline workflows, automate repetitive tasks, and drive continuous operational improvement

Evaluate emerging technologies and AI/ML trends to inform architectural design, solution patterns, and strategic innovation

Establish and control code quality standards, development best practices, and defect-free code delivery across engineering teams

Enable software engineering teams to succeed in modern design patterns through hands-on guidance, technical mentoring, and code reviews

Propose and drive automation initiatives to reduce development efforts across the software development lifecycle

Direct portfolio management, including hiring, talent development, performance management, retention, and compensation administration for your span of care Manage team performance and development, including policy administration, compliance, coaching, recognition, and disciplinary action

Build strong working relationships and influence team members, peers, leadership, customers, and key stakeholders to drive business alignment

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, Software Engineering, or a related field
12+ years of experience building and delivering large-scale enterprise software using modern technologies (React, Java) and cloud platforms (AWS)
Experience leading and developing engineering organizations of 45+ team members, including talent management, organizational growth, and delivery excellence

Hands-on experience building and deploying AI-powered capabilities in production environments

Solid expertise in system architecture, cloud-native design, scalability, reliability, APIs, and distributed systems

Demonstrated ability to drive engineering best practices across software development, CI/CD, quality, security, stability and operational excellence

Demonstrated exceptional communication and leadership skills, with the ability to influence technical teams, business partners, and executive stakeholders while navigating ambiguity and driving outcomes

Preferred Qualifications:

Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Experience working within health care or health insurance technology environments

Healthcare or health insurance technology experience, with knowledge of provider, claims, or member-facing platforms

Solid expertise in cloud-native technologies, including Kubernetes, Docker, and distributed systems

Demonstrated success leading large-scale platform modernization and legacy…