About this role
At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together.UnitedHealthcare is accelerating its next-generation AI transformation through Claims AI 10.0 and Enterprise Agentic AI initiatives. We are seeking a highly experienced Senior Manager AI/ML Engineering to lead multiple AI engineering teams responsible for building and scaling enterprise-grade AI, Generative AI, Agentic AI, and intelligent automation solutions.This leader will oversee delivery of strategic AI platforms and business-critical AI products supporting claims automation, intelligent decision systems, knowledge-driven workflows, and healthcare operational transformation. The role requires a strong blend of technical leadership, organizational leadership, people management, platform strategy, delivery excellence, and enterprise AI governance.The ideal candidate will have experience leading large-scale AI engineering organizations, driving AI platform adoption, managing complex cross-functional programs, and delivering measurable business outcomes using AI technologies.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.Primary Responsibilities:Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniquesDesign, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needsBuild responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standardsLeverage emerging offerings from cloud service providers to enable efficient and cost effective AI solutionsDevelop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilitiesProvide technical leadership for AI initiatives, including Chatbots and conversational AI solutionsPartner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challengesDrive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practicesAccountable for high-quality software deliverables and operational excellenceMentor and train team members on AI/ML technologies, frameworks, and responsible AI practicesCollaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiativesExercise independent judgment to prioritize, plan, and manage AI-relat