Senior Manager, Agentic AI Engineering

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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

Primary Responsibilities

• Technical Strategy & Solution Leadership
  • Lead the design of scalable, secure, and compliant agentic AI solutions aligned to healthcare industry requirements and enterprise standards
  • Set architectural direction for end-to-end systems integrating LLMs, machine learning models, APIs, data platforms, and enterprise marketing technology ecosystems
  • Guide technical trade-off decisions across model selection, build vs. buy/orchestrate approaches, latency, accuracy, cost, risk, and operational complexity
  • Ensure solutions are designed for production readiness, maintainability, enterprise integration, and long-term supportability across delivery teams
• Engineering Team Leadership & Delivery
  • Lead engineering teams responsible for building and deploying production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutions
  • Manage delivery execution across AI agents, automation, platform integrations, and client environments while optimizing for performance, scalability, security, and reliability
  • Create an environment for rapid prototyping, iterative delivery, and continuous learning so teams can validate concepts quickly and accelerate time-to-value
  • Remove delivery blockers, manage technical risks, and guide teams through complex challenges across distributed systems, cloud platforms, data pipelines, and enterprise governance processes
  • Establish engineering practices for AI evaluation datasets, scoring rubrics, agent-performance testing, failure-mode analysis, code quality, documentation, and operational readiness
  • Coach, mentor, and develop engineers and technical leads, supporting career growth, performance management, and strong engineering culture
• Stakeholder Partnership & Cross-Functional Influence
  • Partner with business, product, clinical, compliance, and technical stakeholders to define priorities, translate strategy into execution plans, and align teams around measurable outcomes
  • Coordinate with product, platform, security, architecture, data, and engineering teams to scale reusable AI capabilities across marketing technology deployments
  • Communicate complex technical concepts, delivery risks, investment needs, and business impact clearly for senior leaders and non-technical stakeholders
• Success Measures
  • Leads teams that deliver end-to-end AI-enabled solutions from discovery through production deployment
  • Translates ambiguous business needs into clear technical roadmaps, delivery plans, and scalable outcomes
  • Builds trusted relationships with senior stakeholders and is recognized as a credible technology and delivery leader
  • Drives measurable business outcomes while balancing technical quality, responsible AI practices, delivery speed, cost, and operational risk
  • Creates repeatable engineering patterns, delivery practices, and governance approaches that scale across teams and engagements
  • Develops a high-performing engineering team that can prototype quickly, transition solutions to production effectively, and support enterprise-grade platforms over time
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 7+ years of software engineering experience, including experience delivering distributed systems, cloud-native solutions, or enterprise technology platforms
• 3+ years of people leadership, technical leadership, or engineering management experience, including coaching engineers, managing delivery execution, and influencing technical direction
• Experience leading teams that build and deploy AI/ML solutions, including familiarity with LLMs, prompt engineering, model deployment patterns, and AI evaluation approaches
• Experience structuring ambiguous business and technical problems, aligning stakeholders, and driving teams toward clear, actionable solutions
• Experience guiding cloud architecture, infrastructure as code, and secure deployment practices in enterprise environments, especially Azure
• Experience managing priorities, capacity, delivery commitments, and dependencies across multiple concurrent initiatives
• Advanced knowledge and experience with AI-DLC
• Solid understanding of modern development frameworks, APIs, data integration approaches, engineering delivery practices, and production support models
• Proven ability to lead complex engagements, including discovery, solution design, delivery planning, stakeholder alignment, and production implementation
• Proven stakeholder management and executive communication skills, with the ability to influence across technical, product, business, compliance, and leadership audiences
• Proven excellent communication, storytelling, prioritization, and change leadership skills, with the ability to adapt messaging to different audiences

Preferred Qualifications

• Master's degree in a technical discipline, business discipline, or related field
• Experience leading teams that build full-stack applications, including front-end development frameworks such as React and NextJS
• Experience implementing, leading, or scaling enterprise Marketing Technology solutions such as Adobe Experience Platform
• Familiarity with healthcare data, regulatory requirements, and interoperability considerations
• Demonstrated ability to lead teams in fast-paced, ambiguous environments with evolving requirements and competing priorities

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.