Forward Deployed Engineer - FDE - 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 Forward Deployed Engineer (FDE) operates at the intersection of consulting, engineering, and client delivery-partnering directly with healthcare payers and providers to design, build, and scale AI-powered solutions that address complex business and operational challenges. This role is deeply embedded with clients, leading engagements from discovery through deployment. The FDE translates ambiguous business needs into production-grade systems, combining strong technical expertise with a consultative mindset. Success in this role requires the ability to influence stakeholders, shape solution strategy, and deliver high-impact outcomes in dynamic client environments. 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.

Client Engagement & Consulting Leadership Partner directly with healthcare clients to understand strategic priorities, operational challenges, and digital transformation goals Lead discovery sessions, workshops, and solution design engagements with both technical and business stakeholders Act as a trusted advisor, guiding clients on how to apply AI/ML capabilities to real-world healthcare use cases (e.g., claims, revenue cycle, clinical workflows, member experience) Translate client needs into clear problem statements, solution architectures, and delivery roadmaps Solution Design & Architecture Design scalable, secure, and compliant AI-powered solutions aligned to healthcare industry requirements Architect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platforms Evaluate trade-offs between approaches (e.g., build vs. orchestrate, model selection, latency vs. accuracy) and communicate recommendations clearly to stakeholders Ensure solutions are designed for real-world deployment, maintainability, and integration with existing client ecosystems Hands-on Engineering & Delivery Build and deploy production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutions Integrate AI agents and automation into client environments, optimizing for performance, scalability, and reliability Rapidly prototype solutions to validate concepts, iterate with client feedback, and accelerate time-to-value Troubleshoot complex technical challenges across distributed systems and cloud platforms Translation & Cross-Functional Collaboration Bridge business, clinical, and technical perspectives-translating between stakeholders to ensure alignment and clarity Collaborate with product, platform, and engineering teams to bring reusable capabilities into client deployments Communicate complex technical concepts in a way that is accessible and actionable for non-technical stakeholders Delivery Excellence & Client Outcomes Own delivery outcomes from initial discovery through production deployment and scale Drive measurable impact for clients (e.g., operational efficiency, cost savings, improved experience) Build strong, trusted relationships with client stakeholders to enable long-term partnerships Contribute to reusable assets, playbooks, and best practices to accelerate future client engagements Success Measures Delivers end-to-end client solutions from discovery through production deployment Demonstrates the ability to translate ambiguous client needs into scalable,