Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. 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.

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 contemporary 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 strategy.Product 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 enterpriseComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications:

Undergraduate degree or equivalent experienceExperience leading multidisciplinary organizations spanning engineering, architecture, product management, and AI deliveryExperience building enterprise AI platforms, reusable capabilities, and delivery frameworks that accelerate organizational adoptionProven experience leading enterprise AI engineering, AI platform, or AI solution delivery organizationsBackground in AI/ML technologies, Generative AI, cloud platforms, enterprise architecture, and large-scale systems integrationDemonstrated outstanding communication skills with both technical and non-technical stakeholdersDemonstrated success defining and executing enterprise AI strategies that scale beyond pilots into enterprise-wide capabilitiesDemonstrated ability to translate business priorities into scalable technology strategies and measurable business outcomesProven 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 organizations
Preferred Qualifications:

Advanced degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline Experience within healthcare or other highly regulated industriesExperience leading enterprise AI transformation initiatives across multiple business functionsExperience with GCP AI ServicesExperience evaluating enterprise AI platforms, commercial AI products, and build-versus-buy technology strategiesExperience building reusable architecture frameworks, AI platforms, and enterprise technology acceleratorsFamiliarity with Responsible AI governance frameworks and enterprise AI risk management
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

📌 VP AI ML Engineering (Secunderabad)
🏢 UnitedHealth Group
📍 Secunderabad