Software Engineering Lead

Optum India; Gurugram District; On-site; INR 3,500,000 - 6,400,000; Full time

Job summary

Optum India is seeking an experienced AI systems architect to design and deliver scalable, cloud-native AI platforms. You will lead GenAI and agentic AI development, own the full lifecycle from design to production, and collaborate with security and governance teams to ensure compliant AI. Mentoring junior engineers is also involved.

The role requires deep expertise in FastAPI, Python, Docker, Kubernetes, and cloud platforms, with hands-on experience deploying mission-critical AI workloads.

Qualifications

• Graduate degree or equivalent experience.
• 6+ years of experience in ML and Agentic AI.
• Solid hands-on with FastAPI and high-performance async.
• Proven experience designing large-scale backend systems and APIs.
• Extensive hands-on with GCP, Azure or AWS.
• Proven Docker and Kubernetes experience.
• Strong Python, SQL/NoSQL, and AI observability.

Responsibilities

• Architect, design, and deliver scalable, secure, cloud-native AI platforms.
• Lead development of Generative AI and multi-agent solutions.
• Own end-to-end AI service lifecycle: design, deployment, performance tuning, production support.
• Perform profiling, optimization, and reliability improvements for backend AI systems.
• Collaborate with product, architecture, security, and governance teams for compliant AI.
• Mentor junior engineers with code reviews and guidance.

Skills

FastAPI

Backend design

Docker

Kubernetes

Python

Cloud platforms

SQL/NoSQL

LLMs

Agentic AI

Prompt engineering

AI observability

Performance testing

Multi-agent frameworks

Education

B.Tech / M.Tech in Computer Science or AI or relevant field

Tools

Redis

ChromaDB

Google ADK

Anthropic MCP

Job description

Job Description:

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.

Primary Responsibilities

• Architect, design, and deliver scalable, secure, cloud-native AI platforms


• Lead development of Generative AI and Agentic AI solutions, including multi-agent systems


• Own end-to-end AI service lifecycle: design, development, deployment, performance tuning, and production support


• Perform deep performance profiling, optimization, and reliability improvements for backend AI systems


• Collaborate with product, architecture, security, and governance teams to ensure compliant and responsible AI


• Mentor junior engineers; provide technical guidance and design reviews


• 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

• Graduate degree or equivalent experience


• B.Tech / M.Tech in Computer Science or AI or relevant field


• 6+ years of experience working on Machine learning and Agentic AI solutions building towards Process and Tasks Automation for complex business processes


• Solid hands-on experience with FastAPI, including high-performance asynchronous implementations


• Proven experience designing large-scale backend systems and APIs


• Extensive hands-on experience with GCP or Azure, or AWS


• Experience deploying and operating mission-critical AI workloads in production


• Deep experience with vector databases (e.g., Redis, ChromaDB, or equivalent)


• Expert-level experience with Docker


• Solid experience with performance testing, stress testing, and system optimization


• Solid working knowledge of Kubernetes, including scaling, resiliency, and troubleshooting


• Solid understanding of cloud architecture, networking, IAM, security, and cost optimization


• Expert-level proficiency in Python


• Proven solid command of SQL and NoSQL databases, indexing strategies, and performance tuning


• LLMs and agentic AI architectures


• Multi-agent frameworks


• Google ADK, Anthropic MCP, or similar platforms


• Proven advanced skills in prompt engineering, evaluation frameworks, and AI observability


• Proven ability to identify architectural bottlenecks and propose scalable solutions

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.