Senior Software Engineering Lead - Python Fullstack, FastAPI, GenAI, AI ML

Optum; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Optum seeks a Senior Software Engineering Lead - Python Fullstack to architect and deliver scalable AI platforms. You will lead development in Python and Generative AI, including multi-agent systems, and own the full AI service lifecycle from design to production support.

The role requires 9+ years in Python, strong FastAPI expertise, and extensive experience with cloud platforms (GCP/AWS/Azure). You will mentor engineers and define AI engineering standards in a global health tech environment.

Qualifications

• Graduate - B. Tech and/or MS in computer science or equivalent.
• 9+ years of experience in Python.
• 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, 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.
• Experience operationalizing GenAI systems with reliability and governance in mind.
• Solid working knowledge of Kubernetes, including scaling, resiliency, and troubleshooting.
• Knowledge or Hands-on experience in LLMs and agentic AI architectures.
• Multi-agent frameworks.
• Google ADK, Anthropic MCP, or similar platforms.
• Solid understanding of cloud architecture, networking, IAM, security, and cost optimization.
• Proven solid command of SQL and NoSQL databases, indexing strategies, and performance tuning.
• Proven advanced skills in prompt engineering, evaluation frameworks, and AI observability.

Responsibilities

• Architect, design, and deliver scalable, secure, cloud-native AI platforms.
• Lead development of Fullstack Development in Python and Generative AI and Agentic AI solutions, including multi-agent systems.
• Improve application functionality to meet changing business needs and requirements.
• Create high-level and detailed design specifications that enable troubleshooting and day-to-day build activities.
• Own end-to-end AI service lifecycle: design, development, deployment, performance tuning, and production support.
• Define and enforce AI engineering standards, evaluation frameworks, and observability practices.
• Perform deep performance profiling, optimization, and reliability improvements for backend AI systems.
• Mentor senior and junior engineers; provide technical guidance and design reviews.
• Comply with employment contracts and company policies; adapt to changing work locations and arrangements.

Skills

Python

FastAPI

GenAI

AI/ML

Multi-agent frameworks

LLMs

Kubernetes

Cloud Platforms

SQL/NoSQL

Education

B.Tech / MS in Computer Science

Tools

Docker

Redis

ChromaDB

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Senior Software Engineering Lead - Python Fullstack, FastAPI, GenAI, AI ML (2381882)

Senior Software Engineering Lead - Python Fullstack, FastAPI, GenAI, AI ML - 2381882

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 Fullstack Development in Python and Generative AI and Agentic AI solutions, including multi-agent systems
• Improving application functionality to meet changing business needs and requirements
• Creating high-level and detailed design specifications that enable troubleshooting and day-to-day build activities
• Own end-to-end AI service lifecycle: design, development, deployment, performance tuning, and production support
• Define and enforce AI engineering standards, evaluation frameworks, and observability practices
• Perform deep performance profiling, optimization, and reliability improvements for backend AI systems
• Mentor senior and 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 - B. Tech and/or MS in computer science or equivalent
• 9+ years of experience in Python
• 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, 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
• Experience operationalizing GenAI systems with reliability and governance in mind
• Solid working knowledge of Kubernetes, including scaling, resiliency, and troubleshooting
• Knowledge or Handson experience in:
• LLMs and agentic AI architectures
• Multi-agent frameworks
• Google ADK, Anthropic MCP, or similar platforms
• Solid understanding of cloud architecture, networking, IAM, security, and cost optimization
• Proven solid command of SQL and NoSQL databases, indexing strategies, and performance tuning
• Proven advanced skills in prompt engineering, evaluation frameworks, and AI observability

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.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.