Director, Software Engineering - AI Platform and Full Stack Engineering - Hybrid in MN

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.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. 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:

* 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

* Experience with CI/CD, Dev Ops tooling, and cloud platforms (AWS preferred)

* Experience with AI/ML model governance, data management, and responsible AI practices

* Experience leveraging AI-assisted development tools to improve delivery efficiency

* Solid experience with Java, Python, Node.js, and modern full stack frameworks (React/Angular, REST, Graph

QL)

*…