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Director, Software Engineering - AI Platform and Full Stack Engineering - Office-based in Minneapolis, MN

Job in Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for: UnitedHealth Group
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    Software Project Mgr/ Lead, Software Architect, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 134600 - 230800 USD Yearly USD 134600.00 230800.00 YEAR
Job Description & How to Apply Below
Job d:

Location:

Minnetonka, Minnesota, United States Salary: $134,600 - $230,800/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.

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 gapsAI/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 development5+ years of experience leading engineering teams and managing large-scale…
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