Director Software Engineering Full Stack

UnitedHealth Group•Minnetonka, MN

13d•$134,600 - $230,800

About The Position

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.

Requirements

10+ years of full-stack software engineering experience
5+ years in engineering leadership
Solid hands-on expertise across the modern full-stack: Frontend: React/Next.js (or similar), TypeScript, state management, real-time/streaming UI patterns (WebSockets, SSE), component design systems.
Backend: Node.js, Python, Go, or Java; API design (REST/GraphQL); microservices architecture
Experience building or integrating with LLM/AI-powered products - e.g., chat interfaces, copilots, agentic workflows, RAG systems, or tool-calling architectures
Proven experience architecting and shipping complex, production-grade web applications at scale (consumer or enterprise SaaS)
Direct experience with agent frameworks (LangChain, LangGraph, AutoGen, custom orchestration)
Infrastructure: Cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), CI/CD pipelines

Nice To Haves

MS/BS in Computer Science or related field, or equivalent practical experience
Experience at an AI-native company or on an AI platform/tooling team
Experience with design systems and accessibility standards (WCAG) for enterprise software
Experience with streaming data visualization (e.g., visualizing multi-step agent plans, tool call graphs, live logs)
Familiarity with agent observability concepts - tracing, evals, guardrails, human-in-the-loop review flows
Background in developer tools, low-code/no-code builders, or workflow orchestration UIs
Exposure to security/compliance considerations for enterprise AI products (SOC 2, data governance, PII handling)
Proven excellent communication skills; ability to operate across technical depth and executive-level strategy conversations

Responsibilities

Define and own the full-stack architecture (frontend, backend, APIs, data layer) for the agentic AI platform's UI and supporting services
Establish design patterns for building responsive, real-time interfaces that visualize agent reasoning, multi-step task execution, tool calls, and streaming outputs
Drive decisions on frameworks, state management, API contracts (REST/GraphQL/WebSockets/streaming), and infrastructure choices in partnership with platform/infra teams
Ensure the architecture supports scalability, low-latency streaming (token-by-token or event-based UI updates), extensibility for new agent capabilities, and enterprise-grade security
Build, lead, and grow a team of full-stack engineers, frontend specialists, and backend engineers (potentially across multiple pods/squads)
Set engineering standards for code quality, testing, CI/CD, accessibility, and performance
Mentor senior engineers and engineering managers; support career development and technical growth across the org
Drive a culture of ownership, craftsmanship, and rapid iteration appropriate to a fast-evolving AI product space
Partner with Product Management and Design to translate agentic AI capabilities (tool use, multi-agent orchestration, memory, planning) into intuitive, trustworthy user experiences
Work closely with AI/ML and Platform Engineering teams to expose model/agent behavior (reasoning traces, confidence, citations, errors) in ways that build user trust and transparency
Collaborate with UX research to iterate on interaction patterns unique to agentic systems (e.g., approvals, interruptions, plan editing, multi-turn context)
Own roadmap planning, sprint execution, and delivery predictability for the UI/full-stack workstream
Establish metrics for platform reliability, performance (latency, load times, streaming responsiveness), and UI quality
Manage technical risk, tech debt, and platform scalability trade-offs as the product scales to more users, agents, and use cases
Report progress, risks, and technical strategy to senior leadership/executives