Director, Software Engineering - AI Platform, FSE

UnitedHealth Group is hiring a Director of Software Engineering to lead the development and delivery of AI-first, full-stack platform capabilities for enterprise-scale case management intelligence, optimization, and decisioning. The role sets technical direction, scales engineering teams, and oversees secure, compliant platform delivery and AI adoption.

Responsibilities

• Build, lead, and scale high-performing engineering teams across full stack and agentic AI platform development
• Drive hiring, coaching, and performance management to develop solid engineering talent aligned to AI-first capabilities
• Lead teams that build ML models for risk scoring and identification A good understanding ML model lifecycle and ML Ops
• Establish clear ownership, accountability, and delivery governance across teams
• Define and govern architecture for AI-driven applications, full stack platforms, APIs, and microservices ecosystems
• Partner with product and architecture leaders to align technical strategy with business outcomes
• 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
• Define and own the engineering AI strategy to measurably accelerate software development, quality, reliability, and operational efficiency through the use of AI agents
• Partner with engineering teams to analyze current workflows, development activities, and pain points across the SDLC, identifying high value opportunities where AI agents can deliver meaningful impact
• 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
• 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
• 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
• 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

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
• AI/ML Platforms
• LLM-Based Applications
• Agentic Systems
• Enterprise-Scale Platform Development
• Optimization
• Decision Intelligence
• Regulated Industry Experience
• Model Lifecycle Management
• AI Governance Frameworks

Benefits

• A comprehensive benefits package (subject to eligibility requirements)
• Incentive and recognition programs (subject to eligibility requirements)
• Equity stock purchase (subject to eligibility requirements)
• 401k contribution (subject to eligibility requirements)

Company

• Health benefits and technology-enabled care services
• Eden Prairie, Minnesota, USA
• https://www.unitedhealthgroup.com/
• Founded in 1977
• 10001+ employees

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, DevOps tooling, and cloud platforms
• 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, Nodejs, and modern full stack frameworks (React/Angular, REST, GraphQL)
• Proven experience leading AI-enabled platform and full stack engineering teams
• Deep expertise in microservices architecture and distributed systems
• Proven track record of delivering multi-quarter, cross-team engineering programs
• 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

Required skills

• AI/ML Model Governance, Angular, Distributed Systems, Full-Stack Development, GraphQL, Java, Microservices Architecture, Model Lifecycle Management, Node.js, Python, REST APIs, React, Responsible AI, Software Engineering Leadership

Experience

• 12+ years