Job description

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 Director of Software Engineering, you will lead the development and delivery of AI-first, full stack platform capabilities that enable enterprise-scale intelligence, optimization, and decisioning. You will be responsible for both technical direction and people leadership, building and scaling high-performing teams that deliver secure, scalable, and compliant software solutions. This role combines engineering leadership, AI platform strategy, and execution excellence, ensuring alignment across architecture, engineering, and business priorities. If you are located in Minneapolis, MN, you will follow an office-based schedule with four in-office days per week. Primary Responsibilities: • Engineering Leadership & Organization Management • Build, lead, and scale high-performing engineering teams across full stack and AI platform development • Drive hiring, coaching, and performance management to develop solid engineering talent aligned to AI-first capabilities • Establish clear ownership, accountability, and delivery governance across teams • Technology & Architecture Leadership • Define and govern architecture for AI-driven applications, full stack platforms, APIs, and microservices ecosystems • Establish enterprise guardrails for open-source usage, AI models, and data governance • Partner with product and architecture leaders to align technical strategy with business outcomes • Delivery & Execution Accountability • Own end-to-end delivery of engineering roadmaps with a focus on quality, speed, and reliability • Manage cross-team dependencies and ensure alignment across engineering, data science, and platform teams • Track execution, manage risks, and proactively address capacity and delivery gaps • AI/ML Governance & Compliance • Ensure governance and oversight of AI models, training data, and externally exposed capabilities • Drive adoption of compliance-as-code practices embedded into CI/CD and SDLC workflows • Platform Engineering & Full Stack Enablement • Oversee development of end-to-end full stack solutions (UI, APIs, services, and data layers) • Enable scalable platforms supporting AI-driven use cases, analytics, and decision intelligence • Engineering Productivity & Innovation • Champion adoption of AI-assisted development tools (LLMs, coding agents) to accelerate engineering productivity • Drive engineering excellence through automation, reusable patterns, and modern development practices • Stakeholder Engagement & Influence • Partner with business, product, and executive stakeholders to translate strategy into execution • Communicate progress, risks, and outcomes to senior leadership • Influence enterprise decisions on engineering standards and AI adoption 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 related field • 12+ years of experience in software engineering, including full stack development • 5+ years of experience leading engineering teams and managing large-scale delivery • 2+ Experience leveraging AI-assisted development tools and processes ( AI DLC) to improve delivery efficiency • Experience with CI/CD, DevOps tooling, and cloud platforms (AWS preferred) • Experience with AI/ML Development, model governance, data management, and responsible AI practices • Solid experience with Python, Node.js, and modern full stack frameworks (React/Angular, REST, GraphQL) • Proven experience leading AI-enabled platform and full stack engineering teams Preferred Qualifications: • Experience with AI/ML platforms, LLM-based applications, or agentic systems • Experience building enterprise-scale platforms for analytics, optimization, or decision intelligence • Experience in regulated industries (healthcare, financial services, etc.) • Knowledge of responsible AI, model lifecycle management, and governance frameworks • Deep expertise in microservices architecture and distributed systems • Track record of delivering multi-quarter, cross-team engineering programs Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives. UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Requirements

Must-haves

This role combines engineering leadership, AI platform strategy, and execution excellence, ensuring alignment across architecture, engineering, and business priorities.
If you are located in Minneapolis, MN, you will follow an office-based schedule with four in-office days per week.
Engineering Leadership & Organization Management • Build, lead, and scale high-performing engineering teams across full stack and AI platform development
Drive hiring, coaching, and performance management to develop solid engineering talent aligned to AI-first capabilities
Establish clear ownership, accountability, and delivery governance across teams
Technology & Architecture Leadership • Define and govern architecture for AI-driven applications, full stack platforms, APIs, and microservices ecosystems
Establish enterprise guardrails for open-source usage, AI models, and data governance
Partner with product and architecture leaders to align technical strategy with business outcomes
Delivery & Execution Accountability • Own end-to-end delivery of engineering roadmaps with a focus on quality, speed, and reliability
Manage cross-team dependencies and ensure alignment across engineering, data science, and platform teams
Track execution, manage risks, and proactively address capacity and delivery gaps
AI/ML Governance & Compliance • Ensure governance and oversight of AI models, training data, and externally exposed capabilities
Drive adoption of compliance-as-code practices embedded into CI/CD and SDLC workflows
Platform Engineering & Full Stack Enablement • Oversee development of end-to-end full stack solutions (UI, APIs, services, and data layers)
Enable scalable platforms supporting AI-driven use cases, analytics, and decision intelligence
Engineering Productivity & Innovation • Champion adoption of AI-assisted development tools (LLMs, coding agents) to accelerate engineering productivity
Drive engineering excellence through automation, reusable patterns, and modern development practices

Nice-to-haves

Experience with CI/CD, DevOps tooling, and cloud platforms (AWS preferred)
Experience with AI/ML platforms, LLM-based applications, or agentic systems
Experience building enterprise-scale platforms for analytics, optimization, or decision intelligence
Experience in regulated industries (healthcare, financial services, etc.)
Knowledge of responsible AI, model lifecycle management, and governance frameworks
Deep expertise in microservices architecture and distributed systems
Track record of delivering multi-quarter, cross-team engineering programs

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlci/cdawspythonnode.jsreactangularrestgraphqlllm

Platform: radancy
Effort: medium

Benefits

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401k