Senior Manager AI/ML Engineering

Optum; Gurugram District; On-site; INR 3,200,000 - 6,000,000; Full time

Job summary

Optum, a leading health-tech organization, seeks a Senior Manager AI/ML Engineering to lead the design, deployment, and scaling of enterprise AI/ML solutions improving clinical outcomes and operational efficiency. You will drive AI platform strategy, MLOps standards, and production-scale ML systems while guiding engineering teams to deliver healthcare solutions using structured and unstructured data.

The role demands leadership in cross-functional collaboration, adherence to SDLC, and hands-on

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Responsibilities

• Lead design, development, deployment, and scaling of enterprise AI/ML solutions for clinical and healthcare applications.
• Define and execute AI platform, model deployment, and engineering strategies for enterprise-scale adoption.
• Oversee model orchestration, data pipelines, and ML workflows for efficient training, deployment, monitoring, and retraining processes.
• Mentor AI/ML engineering teams and collaborate with product, architecture, data science, operations, and business stakeholders.

Skills

Python

SQL

PySpark

CI/CD

SDLC

Cloud concepts

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Master's degree (preferred) in related field

Tools

Databricks

Azure Machine Learning

Snowflake

Job description

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

Job Description - Senior Manager AI/ML Engineering (2381358)

Senior Manager AI/ML Engineering - 2381358

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.

Role Summary

The Sr Manager AI/ML Engineering will lead the design, development, deployment, and scaling of enterprise AI/ML solutions that improve clinical outcomes, patient engagement, operational efficiency, and regulatory compliance. This role is responsible for driving AI platform strategy, MLOps excellence, and production-scale machine learning systems while leading engineering teams that deliver innovative healthcare solutions using structured and unstructured data.

Primary Responsibilities:

• AI/ML Solution Delivery and Platform Leadership
  • Lead the design, development, deployment, and operationalization of AI-enabled products and machine learning models for clinical and healthcare applications
  • Define and execute AI platform, model deployment, and engineering strategies that support enterprise-scale adoption of AI capabilities
  • Design scalable, production-grade AI/ML architectures and systems that deliver reliable, real-time business insights
• MLOps and Engineering Excellence
  • Establish and drive MLOps standards, automation practices, governance controls, and production monitoring to ensure model reliability, performance, and compliance
  • Own model orchestration, data pipelines, and machine learning workflows, enabling efficient training, deployment, monitoring, and retraining processes
  • Improve platform efficiency, resilience, and scalability through automation, testing, and continuous integration/deployment practices
• AI Innovation and Advanced Analytics
  • Apply advanced AI/ML techniques including NLP, deep learning, semantic understanding, predictive modeling, computer vision, speech technologies, and related capabilities to solve complex healthcare challenges
  • Leverage modern cloud, data, and distributed computing platforms to optimize clinical workflows, documentation, and decision support systems
• Leadership and Cross-Functional Collaboration
  • Lead and mentor AI/ML engineering teams while fostering technical excellence and innovation
  • Partner with product, architecture, data science, operations, and business stakeholders to prioritize initiatives, define milestones, and deliver strategic outcomes
  • Communicate technical strategy, model performance, risks, and business value to senior leadership and stakeholders while influencing AI adoption across the organization
• 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 degree in Computer Science, Engineering, Data Science, or a related quantitative field
• 5+ years of software engineering experience with demonstrated expertise across the Software Development Life Cycle (SDLC)
• Hands-on experience building and deploying machine learning solutions using Python, SQL, and/or PySpark
• Experience developing and supporting cloud-based AI/ML solutions in Azure, AWS, or Google Cloud Platform
• Solid understanding of CI/CD practices, automation frameworks, and production software delivery

Preferred Qualifications:

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative discipline
• Experience with enterprise AI/ML platforms and technologies such as Databricks, Azure Machine Learning, Snowflake, or comparable solutions
• Experience building and scaling healthcare-focused AI solutions in regulated environments
• Deep expertise in MLOps practices including model monitoring, drift detection, automated retraining, and model lifecycle management

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.

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.