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 perks 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:

Strategic Leadership & Portfolio OversightDefine and drive the AI/ML engineering vision, strategy, and execution roadmap for Healthcare and Life Sciences aligned to enterprise priorities and client transformation agendasLead a portfolio of multiple concurrent client engagements, ensuring strategic alignment, delivery excellence, financial performance, and customer satisfactionIdentify opportunities to expand AI/ML adoption across healthcare and life sciences use cases, including clinical, operational, research, and commercial domainsPartner with business leaders to build long-term strategies for scaling AI-powered products, platforms, and servicesProvide executive oversight for complex AI programs from ideation through deployment, adoption, and value realizationClient Engagement & Executive Relationship ManagementServe as a senior executive sponsor and trusted advisor for clients across healthcare and life sciences engagementsEngage directly with client leadership to understand strategic priorities, business challenges, and innovation opportunities, translating them into actionable AI solution roadmapsLead executive-level discussions, solution presentations, strategic workshops, QBRs, and transformation reviews with internal and external stakeholdersDrive client confidence through proactive communication, transparent governance, and measurable delivery outcomesIdentify growth opportunities within existing accounts and support business development through AI solution positioning, proposal reviews, and strategic pursuit leadershipAI/ML Solution LeadershipOversee the design, development, and deployment of scalable, secure,



and production-grade AI/ML solutions across a variety of healthcare and life sciences use casesDrive the adoption of advanced AI capabilities such as:Machine Learning and Predictive AnalyticsNatural Language Processing (NLP) / Natural Language Understanding (NLU)Deep LearningComputer VisionSpeech/Language AIGenerative AI and Large Language Models (LLMs)Intelligent Automation and Decision SupportEnsure solutions are architected for scalability, maintainability, explainability, and regulatory readinessGuide teams on applying AI responsibly, including model governance, fairness, observability, and risk mitigationHealthcare & Life Sciences Domain LeadershipLead AI/ML programs leveraging diverse healthcare and life sciences datasets, including:Electronic Health Records (EHR/EMR)Claims and billing dataClinical notes and documentationProvider, member, and patient dataLab, pharmacy, and utilization dataLife sciences data related to research, trials, medical affairs, and commercial analyticsDrive innovation across high-value domains such as:Clinical decision supportPopulation health and risk stratificationCare management optimizationRevenue cycle managementPrior authorization and utilization managementChart review and clinical documentation intelligencePatient/member engagement and personalizationDrug discovery support, trial analytics, and real-world evidence enablementWorkflow automation and operational productivityEnsure alignment with industry regulations, privacy requirements, and responsible data use frameworks relevant to healthcare and life sciences

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 soRequired Qualifications:

Undergraduate degree or equivalent experienceTypically 15+ years of overall experience, with significant leadership experience in AI/ML engineering, advanced analytics, digital transformation, or data-driven product/solution delivery.Solid technical depth in:Machine Learning and Deep LearningNLP / NLUPredictive Analytics and Statistical ModelingAI platform architecture and deploymentMLOps and model lifecycle governanceExperience leading teams working with platforms and frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud ecosystems such as Azure, AWS, or GCP.Proven success leading large, complex, and multi-client AI/ML engagements in healthcare, life sciences, or closely related regulated industries.Proven solid programming and technical leadership capabilities with technologies such as Python, SQL, Spark, cloud-native services, and enterprise AI/ML frameworks.Demonstrated capability to lead both solution strategy and execution across diverse stakeholder groups and business contexts.

Preferred Qualification:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Statistics, Mathematics, or a related discipline; Master's or advanced degree

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.

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