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

Lead the end-to-end delivery of AI/ML and Generative AI solutions, from business problem definition through production deployment and operational support

Translate complex business requirements into scalable, secure, and high-impact AI/ML solutions with defined success metrics and adoption strategies

Design, develop, and deploy Machine Learning, Deep Learning, Generative AI, GPT-based applications, RAG pipelines, and Agentic AI systems

Define AI solution architectures leveraging LLMs, Transformers, Vector Databases, Semantic Search, and enterprise data platforms

Establish and drive MLOps practices, including model deployment, CI/CD automation, monitoring, governance, and lifecycle management

Ensure AI solutions meet enterprise standards for reliability, scalability, performance, security, and compliance

Implement Responsible AI principles and governance frameworks to promote fairness, transparency, explainability, and risk management

Lead model evaluation activities, including accuracy, bias detection, robustness testing, performance optimization, and continuous monitoring

Partner with Product, Engineering, Data, Security, and Operations teams to align AI initiatives with business objectives and strategic priorities

Define AI roadmaps, technical strategies,



and execution plans to support organizational growth and digital transformation

Lead, mentor, and develop offshore and globally distributed AI/ML engineering teams, fostering innovation, accountability, and technical excellence

Communicate complex AI concepts and technical solutions effectively to executives, business leaders, and non-technical stakeholders

Drive operational readiness, user adoption, and continuous improvement of AI-powered products and platforms

Operate with a high degree of ownership and leadership in fast-paced, dynamic enterprise environments

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 workplace, 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, or a related field, or equivalent practical experience

12+ years of software development and engineering experience, including hands-on experience delivering enterprise-scale technology solutions

Experience building AI applications using Transformers, Embedding Models, Vector Databases, Semantic Search, and Knowledge Retrieval systems





Experience leading and mentoring offshore or distributed AI/ML engineering teams

Proven experience designing, deploying, and managing AI/ML solutions in production environments

Solid expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), GPT-based applications, Retrieval-Augmented Generation (RAG), and Agentic AI architectures

Solid knowledge of Responsible AI, AI Governance, Security, Privacy, Risk Management, and Compliance requirements

Deep understanding of MLOps, model lifecycle management, model governance, deployment automation, and performance monitoring

Demonstrated ability to translate business challenges into scalable technical solutions that deliver measurable business value

Demonstrated solid stakeholder management and cross-functional collaboration skills across Product, Engineering, Data, Security, and Operations organizations

Demonstrated excellent communication and presentation skills with the ability to simplify complex technical concepts for diverse audiences

Proven ability to drive strategic initiatives, influence decision-making, and deliver results with minimal supervision 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.

#Exectech

📌 Senior Manager AI or ML Engineering (Bengaluru)
🏢 UnitedHealth Group
📍 Bengaluru