Director Architecture - Remote

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.

The Director of Architecture for Agentic AI Claims Automation will serve as the principal technical leader driving the architectural vision, solution design, and AI first innovation strategy for next generation claims automation capabilities within the Claims GCO organization. This role will define and mature the architecture for a platform that enables cross domain agentic workflows, orchestrates intelligent automation patterns, and aligns with the broader enterprise AI/ML strategy.

As a senior member of the Architecture job family, this individual will provide deep technical leadership across product, engineering, enterprise architecture, data science, and operations teams. They will ensure architectural consistency, guide adoption of emerging AI capabilities, and establish standards that accelerate delivery while safeguarding resilience, performance, governance, and reusability. The Director will mentor architects and engineers and act as a trusted advisor to business and technology stakeholders, influencing decisions through technical depth and strategic clarity.

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.

• Define and evolve the end to end architecture for the Agentic AI Claims Automation platform, including agent orchestration, workflow engines, integration layers, data pipelines, and model serving components
• Establish architectural patterns and guardrails that support reusable agentic workflows across claims platforms and operations
• Partner with enterprise architecture to ensure alignment with emerging enterprise frameworks, AI governance standards, reference architectures, and shared platforms
• Create and communicate a clear architectural north star, including strategic technology choices, trade offs, and modernization priorities
• Design platform capabilities that enable the development, deployment, monitoring, and lifecycle management of agentic systems and multi agent workflows
• Collaborate with AI/ML and data science teams to define scalable patterns for model integration, retrieval augmented generation (RAG), decision logic, and safety filters
• Champion "AI first" design principles across engineering teams, including intelligent automation, human in the loop review, observability, and bias mitigation
• Lead architectural direction for major Claims GCO transformation initiatives, ensuring business objectives translate into robust, scalable, and cost efficient designs
• Provide architectural governance throughout program lifecycle (concept to delivery to operations), including solution reviews, risk identification, and technical dependency management
• Mentor architects and senior engineers to elevate technical design skills, architectural thinking, and AI literacy
• Inspire teams through thought leadership on emerging technologies, agentic AI trends, and industry best practices in intelligent automation and claims transformation
• Act as a trusted advisor to product leaders, business executives, and technology stakeholders across Claims, GCO, and enterprise platforms
• Translate complex architectural concepts into clear, business aligned narratives to drive buy in and informed decision making
• Present architectural recommendations, solution options, and technical trade offs at senior leadership forums
• Partner with reliability, platform engineering, and security teams to ensure availability, performance, compliance, and resilience of AI services and claims automation platforms
• Identify architectural improvements…