Director of AI-Driven Platform Engineering

UnitedHealth Group

Minnetonka (MN)

On-site

USD 135,000 - 231,000

Full time

6 days ago

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Benefits offered by this job

Comprehensive benefits package

Equity stock purchase

401k contribution

Job summary

UnitedHealth Group's Optum Tech seeks a Director of Software Engineering to lead AI-first, full stack platform capabilities for enterprise-scale intelligence and decisioning. You will provide technical direction and people leadership, building and scaling high-performing teams that deliver secure, scalable, and compliant software solutions.

Located in Minneapolis, MN, the role follows an office-based schedule with four in-office days per week.

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.
12+ years of software engineering experience including full stack development.
5+ years leading engineering teams and large-scale delivery.
2+ years using AI-assisted development tools to improve delivery.
Experience with CI/CD, DevOps tooling, and cloud platforms (AWS preferred).
Experience with AI/ML development, governance, data management, and responsible AI practices.
Strong Python, Node.js, and modern full stack frameworks (React/Angular, REST, GraphQL).
Proven experience leading AI-enabled platform and full stack engineering teams.

Responsibilities

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.
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.
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.
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 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.