The Role
Leads the strategy, architecture, delivery, and operationalization of agentic AI solutions in enterprise healthcare environments. Manages engineering teams building LLM workflows, copilots, intelligent automation, and integrated AI platforms. Responsibilities include cloud architecture, secure deployment, AI evaluation, stakeholder alignment, delivery planning, technical governance, executive communication, and coaching engineering leaders. The role also drives scalable engineering practices and production-ready solutions across marketing technology deployments.
Summary Generated by Built In
Requisition Number: 2390633
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:
Required Qualifications:
Preferred Qualifications:
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.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- 7+ years of software engineering experience, including distributed systems, cloud-native solutions, or enterprise technology platforms
- 3+ years of people leadership, technical leadership, or engineering management experience
- Experience leading teams that build and deploy AI/ML solutions, including LLMs, prompt engineering, model deployment, and AI evaluation
- Experience structuring ambiguous business and technical problems and aligning stakeholders
- Experience guiding cloud architecture, infrastructure as code, and secure enterprise deployment practices, especially Azure
- Experience managing priorities, capacity, delivery commitments, and dependencies across concurrent initiatives
- Advanced knowledge and experience with AI-DLC
- Understanding of modern development frameworks, APIs, data integration, engineering delivery, and production support
- Experience leading complex engagements from discovery and solution design through production implementation
- Stakeholder management and executive communication skills across technical, product, business, compliance, and leadership audiences
- Excellent communication, storytelling, prioritization, and change leadership skills
- Master's degree in a technical, business, or related discipline
- Experience leading full-stack application teams using React and NextJS
- Experience implementing or scaling enterprise Marketing Technology solutions such as Adobe Experience Platform
- Familiarity with healthcare data, regulatory requirements, and interoperability considerations
- Ability to lead teams in fast-paced, ambiguous environments with evolving requirements
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
