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 Analyze business requirements & functional specifications

Adherence to the defined delivery process/guidelines

Drive project quality process compliance

Contribute to drive & enforce AI Engineer industry standards and best practices in the team

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 Bachelor's or master's degree in computer science, Engineering, Data Science, AI/ML, or a related field

10+ years of experience in Data Engineering, Cloud Platform Engineering, and Enterprise Solution Architecture

5+ years of hands-on experience in Azure Databricks, Spark performance optimization, distributed computing, and designing scalable data platform architectures

3+ years of experience architecting and implementing Generative AI solutions leveraging LLMs,



RAG frameworks, LangGraph, AI Agents, and enterprise AI platforms

Proven experience designing end-to-end cloud-native architectures on Azure, including data, analytics, AI, security, and governance frameworks

Experience leading architecture reviews, driving technical decision-making, and guiding engineering teams on scalability, reliability, security, and operational excellence

Solid healthcare domain knowledge

Proven solid expertise in defining enterprise data strategies, solution blueprints, architecture standards, and technology roadmaps

Demonstrated success in driving enterprise AI adoption, establishing best practices, and delivering AI-powered business solutions at scale

Proven solid stakeholder management and communication skills, with the ability to influence leadership, align technology strategies with business objectives, and mentor senior engineering teams

Proven ability to determine the impact of changes in current functionality of the system

Proven ability to handle Gen AI, RAG, LLM based assignments independently, end-to-end SDLC

Proven ability to manage a team of AI Engineer, and provide techno-functional mentoring

Proven flexible to collaborate with onshore business, during US business hours

Proven flexible to support project releases, during US business hours 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 prospect 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.

📌 Manager AI/ML Engineering (Hyderabad)
🏢 Optum India
📍 Hyderabad