Jobs at Optum

Develop and improve reliable LLM and deep learning capabilities, build scalable real-time machine learning models, advance Responsible AI practices, and define technical strategies for deep learning, RAG, and LLMs. Collaborate with AI scientists and engineers, conduct ML and reinforcement learning research, fine-tune models, and drive adoption of AI best practices across service teams.

Serve as the primary client contact for desktop services discovery, transition, and enhancements. Manage desktop support delivery, mentor staff, scope projects, work with product management, improve processes and SLAs, and handle hardware procurement while communicating technical concepts to non-technical stakeholders.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.