Vice President, AI Engineering | Eden Prairie, Minnesota | Remote

Vice President, Ai EngineeringOptum 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 Vice President, AI Engineering, sets the strategic direction for Enterprise AI Architecture, Engineering Delivery, Solution Strategy, and Product Management. This role serves as a strategic technology leader responsible for building, accelerating, governing, and scaling the delivery of the enterprise AI portfolio.The role encompasses defining the enterprise AI technology strategy, deploying scalable AI capabilities, and advancing AI adoption across key business functions to enable an AI-first enterprise. We are seeking an accomplished leader to build and guide a high-performing organization committed not only to delivering AI-powered solutions, but also to establishing reusable AI platforms, driving enterprise adoption, and creating measurable business value through responsible AI innovation.This position oversees a multidisciplinary organization of AI engineers, solution architects, product leaders, and delivery professionals responsible for designing, architecting, implementing, and scaling enterprise AI capabilities across the UHG ecosystem.The role bridges enterprise strategy, product management, stakeholder engagement, and technical execution. Working closely with business and technology leaders, this executive will translate business priorities into scalable AI capabilities that improve operational efficiency, employee experience, and organizational effectiveness. Success in this role requires deep technical expertise, executive leadership, business acumen, and a passion for building enterprise capabilities that enable long-term transformation.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:Enterprise AI StrategyDefine and execute the enterprise AI strategy and multi-year roadmap, leveraging advancements in Generative AI, LLMs, multimodal AI, Agentic AI, data platforms, and cloud technologies to drive innovation, adoption, and measurable business outcomesLead the evolution of Enterprise AI across strategy, architecture, engineering, product management, platform capabilities, research, and value realization to deliver sustained enterprise impactOwn a portfolio of enterprise AI capabilities spanning internally developed solutions and strategic platforms such as Microsoft Copilot, Google AgentSpace, and emerging AI technologiesEstablish and scale the AI operating model, governance, and delivery frameworks that enable responsible, secure, and efficient adoption of AI across the enterprisePartner across Enterprise AI, Digital, Data, Infrastructure, Security, and Architecture organizations to drive strategic alignment, platform interoperability, technology standards, and capability reuseChampion enterprise-wide AI transformation by identifying high-value opportunities, accelerating adoption, and embedding AI-powered products, copilots, intelligent workflows, and agent-based systems into business operationsLead world-class AI engineering capabilities, with expertise in data engineering, analytics, modern data platforms, and enterprise-scale AI delivery to ensure operational excellence and business value realizationCorporate Systems Solution Strategy & ArchitectureReimagine and drive enterprise AI solution strategy that enables intelligent automation and transforms business operations across corporate functionsTranslate business and technology roadmaps into scalable AI-enabled solutions that accelerate enterprise transformationInfluence business and technology partners to modernize enterprise platforms into AI-ready architectures while maximizing the value of AI capabilities embedded within enterprise software platformsDrive innovation by defining scalable solution architectures that emphasize reuse, interoperability, security, and long-term maintainabilityPartner with enterprise architecture, engineering, and product organizations to ensure solution designs align with enterprise standards and strategic prioritiesDevelop reusable reference architectures, design patterns, and integration frameworks that accelerate delivery across multiple business domainsTechnical Delivery LeadershipLead engineering organizations responsible for delivering enterprise AI platforms and AI-powered business capabilities across the enterpriseEstablish engineering excellence through modern AI engineering practices, including DevOps, MLOps, and LLMOps, leveraging CI/CD, scalable architecture, Infrastructure as Code, containerization, observability, model lifecycle management, and secure AI deploymentDrive delivery excellence through standardized engineering practices, reusable components, enterprise integration patterns, and platform-based delivery modelsBalance rapid experimentation with disciplined execution to successfully transition innovative AI capabilities into enterprise-scale production solutionsCollaborate with senior leaders across Product, Engineering, Data, Infrastructure, and Business organizations to ensure delivery priorities remain aligned with enterprise strategyProduct Strategy & Portfolio ManagementPartner with product leaders to define and evolve the Enterprise AI portfolio, ensuring investments are aligned to strategic priorities and measurable business outcomesEstablish governance and prioritization processes for AI initiatives across the enterpriseDevelop outcome-based success measures that demonstrate business value, adoption, employee productivity improvements, and operational impactPromote reusable AI capabilities that can be leveraged across multiple business functions rather than point solutionsGenerative and Responsible AIDesign and deploy production-grade AI solutions leveraging Generative AI, LLM orchestration, prompt engineering, RAG, and Agentic AI architectures to drive scalable business outcomesEstablish AI engineering excellence through robust model evaluation, testing, monitoring, observability, operational excellence, and lifecycle management across enterprise AI platformsEnsure responsible and secure AI adoption through governance frameworks, regulatory compliance, and close partnership with Legal, Risk, Privacy, Compliance, and Security teams to uphold fairness, transparency, explainability, and enterprise standardsInnovation & EnablementMaintain awareness of emerging AI technologies, foundation models, agentic AI architectures, enterprise AI platforms, and evolving deployment patterns to continuously strengthen the enterprise AI strategyEvaluate new technologies and industry trends to identify opportunities that improve employee experience, operational efficiency, and business outcomesContribute to the development of reusable solution assets, reference architectures, and technical enablement materialsSupport experimentation and prototyping efforts to validate new solution approachesContribute to the evolution of delivery models from bespoke services to scalable, platform-enabled solutionsSet the standard for innovation throughout the entire team by actively involving members in hackathons, fostering creativity and forward-thinking, and demonstrating leadership through your actionsCollaborate with academic and research institutions to inform solution design and talent developmentTeam LeadershipBuild and lead a multidisciplinary organization consisting of AI engineers, solution architects, product managers, AI platform engineers, and technical delivery leadersFoster a culture of excellence, client-centricity, and continuous improvement. Drive restless curiosity and a relentless pursuit of delivering an exceptional experience to all UHG employeesDevelop leadership capability throughout the organization by investing in coaching, mentoring, succession planning, and technical skill developmentEstablish performance metrics that measure both organizational effectiveness and business value delivered through Enterprise AIBuild solid partnerships across business and technology organizations while creating a culture of shared ownership and enterprise collaborationChampion continuous learning and AI capability development across the organization to help establish UHG as an AI-first enterpriseYou'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.Required Qualifications:Proven experience leading enterprise AI engineering, AI platform, or AI solution delivery organizationsOutstanding communication skills with both technical and non-technical stakeholdersDemonstrated success defining and executing enterprise AI strategies that scale beyond pilots into enterprise-wide capabilitiesProven background in AI/ML technologies, Generative AI, cloud platforms, enterprise architecture, and large-scale systems integrationExperience leading multidisciplinary organizations spanning engineering, architecture, product management, and AI deliveryDemonstrated ability to translate business priorities into scalable technology strategies and measurable business outcomesExperience building enterprise AI platforms, reusable capabilities, and delivery frameworks that accelerate organizational adoptionProven executive communication and stakeholder management skills with the ability to influence senior technology and business leadersTrack record of leading large-scale organizational transformation and deliver complex enterprise technology initiativesPassion for innovation, continuous improvement, and developing high-performing technical