Senior Manager Software 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 to start Caring. Connecting. Growing together.
We are seeking a hands-on Senior Manager, Software Engineering to drive the delivery, development, and scaling of Agentic AI platforms and healthcare provider systems.
This role blends solid technical expertise in AI/LLMs and platform engineering with team leadership, and places a heavy emphasis on hands-on development, agent orchestration, and dependable delivery.
The candidate will lead a team of AI engineers while actively contributing to building AI-driven developer lifecycle tools (AI DLC) and enhancing Provider Fee Schedule platforms.
Primary Responsibilities
Technical Delivery
Develop and deploy AI agents into production, including monitoring, performance tuning, and observability
Contribute to development of AI Developer Lifecycle (AI DLC) tools and frameworks
Optimize existing SDLC processes using AI-driven automation and agents
Team Leadership
Lead and mentor a team of 8-15 AI/Agentic engineers
Oversee deliverables, training and upskilling, and individual performance and growth
Foster a culture of innovation, experimentation, and continuous learning
Execution Management
Drive PI Planning, work breakdown structures, and resource planning and scheduling
Track timelines and manage delivery against forecasts
Present regular status reports to leadership
Ensure alignment with team and program roadmaps
Stakeholder Engagement
Collaborate with product, business stakeholders, and capability teams
Gather and refine requirements, manage backlog, and support prioritization
Resolve cross-functional challenges across engineering, infrastructure, and business teams
Contribute a solid technical perspective in product and delivery discussions
Continuous Learning & Innovation
Stay current with trends in AI, LLMs, and agentic systems
Participate in and help organize AI hackathons
Encourage innovation and recognize team contributions
Comply 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 so
Required Qualifications
Technical Expertise
Experience with agentic architectures (multi-agent / agent-of-agents systems)
Experience building dashboards for agent monitoring
Proven experience deploying AI systems into production
Working expertise in at least one LLM platform (OpenAI, Gemini, Claude/Anthropic, Copilot)
Familiarity with MCP servers and ADK toolkits (especially for the Gemini ecosystem)
Solid understanding of AI system observability, performance tuning, and lifecycle management
Exposure to AI-driven SDLC / AI DLC frameworks
Preferred Qualifications
20+ years of experience in software/product engineering
2+ years of recent hands-on experience in AI/Agentic systems
Exposure to healthcare systems, specifically provider platforms and fee schedules / pricing systems
Leadership & Execution
Experience leading 8-15 member engineering teams
Demonstrated ability to operate both tactically (hands-on execution) and at the team-planning level
Proven solid program/delivery management skills: planning, forecasting, and roadmap execution
Communication
Demonstrated ability to explain AI concepts to non-technical stakeholders and report progress to leadership with confidence
Proven solid written and verbal communication
Willingness to work the 2 PM - 11 PM IST shift, travel occasionally (India & US), and join on short notice
Proven solid problem-solving mindset with the ability to navigate ambiguity
What Success Looks Like
Scalable, production-ready agentic AI features delivered on schedule
A high-performing, engaged engineering team
Measurable improvements in SDLC through AI
Solid alignment between delivery and business outcomes
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.

Work arrangement
No