Vice President, AI Engineering

Primary Responsibilities

• Develop and implement the technology strategy for Enterprise AI
• This includes the development and delivery of scaled AI solutions that delight UHG employees as well as the integration of AI into corporate functions across UHG. This includes custom solutions as well and vended solutions like copilot and agent space
• The encompasses the AI strategy, tooling, architecture, and engineering delivery as well as research & development of new AI technologies, product management, and business value management of the features and solutions to ensure value delivery. Finally, this role includes leadership of the AI enablement and acceleration team to maximize impact and adoption
• Set the strategy, define key roles, develop and implement the operating model and operational routines to run an efficient, innovative, and agile AI strategy and delivery machine
• Partner across other AI teams in the organization to ensure strategic and technical alignment, reusability, and interoperability of AI solutions
• Corporate Systems Solution Strategy & Architecture
• Reimagine and drive technical solutioning for AI solutions that drive value across key business functions. Ingest business and technology roadmaps to create AI strategies that propel business and technology strategies forward with AI-powered transformation
• Influence business and IT partners to transform the technology to an AI-ready stack to accelerate transformation across business functions - including taking full advantage of vendor AI solutions embedded in packaged software
• Drive creative and bold innovation to help define and shape enterprise solutioning and ensure technical feasibility, scalability, and reusability
• Engage across technology and business partners to align solution design with transformation goals and long-term value
• Technical Delivery Leadership
• Define and oversee delivery engineering teams responsible for implementing AI solutions across the enterprise and corporate business functions
• Ensure systems are in place to guarantee engineering excellence and accountability across all phases of solution implementation
• Drive delivery excellence through standardized frameworks, reusable components, and scalable integration models
• Align delivery with platform capabilities and roadmap. Collaborate with senior leaders across product, engineering, and business units to align solution strategy with enterprise goals
• Ethical & Responsible AI
• Ensure solutions adhere to ethical AI standards, including fairness, transparency, and regulatory compliance
• Align delivery practices with enterprise values and governance frameworks
• Innovation & Enablement
• Stay current on emerging AI technologies, tools, and deployment patterns to inform solution design
• Maintain awareness of advanced ML techniques, NLP, robotics, and other emerging trends
• Contribute to the development of reusable solution assets, reference architectures, and technical enablement materials
• Support experimentation and prototyping efforts to validate new solution approaches
• Contribute to the evolution of delivery models-from bespoke services to scalable, platform-enabled solutions
• Set the standard for innovation throughout the entire team by actively involving members in hackathons, fostering creativity and forward-thinking, and demonstrating leadership through your actions
• Collaborate with academic and research institutions to inform solution design and talent development
• Team Leadership
• Build and lead a multidisciplinary team of solution engineers, product leaders, and technical delivery professionals
• Foster a culture of excellence, client-centricity, and continuous improvement. Drive restless curiosity and a relentless pursuit of delivering an exceptional experience to all UHG employees
• Define performance metrics and development pathways to grow team capabilities
• Lead your peers through solid collaboration and create a culture of shared success

Required Qualifications

• Proven experience in leading AI-focused solution engineering
• Outstanding communication skills with both technical and non-technical stakeholders
• Experience with AI products, including deployment, integration, and client engagement
• Demonstrated background in AI/ML technologies, cloud platforms, and enterprise integration
• Experience supporting early-stage engagements and translating business needs into technical solutions
• Demonstrated ability to lead delivery teams and manage complex implementations
• Excellent communication skills with the ability to engage technical and non-technical stakeholders at all levels

Preferred Qualifications

• Experience in healthcare or similarly regulated industries
• Familiarity with commercialization models and platform transitions
• Advanced degree in Computer Science, Engineering, or related field
• Experience with reusable architecture frameworks and solution accelerators

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution