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 engineering2+ 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 scheduleA high-performing, engaged engineering team.

Measurable improvements in SDLC through AISolid alignment between delivery and business outcomes At United. Health 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.