Lead AI or ML Engineer

Posted Yesterday
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Gurgaon, Gurugram, Haryana, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads the productionization and operation of AI/ML systems across Azure and other cloud platforms. Defines architectures for data pipelines, model-serving APIs, CI/CD, observability, and deployment environments. Builds Python automation, manages Docker and Kubernetes workloads, governs model registries and artifacts, monitors system and model drift, and owns incident response and continuous improvement. The role requires strong software engineering, cloud infrastructure, production API, and MLOps expertise.
Summary Generated by Built In
Requisition Number: 2380668
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 product ionization of AI/ML systems on Azure and other cloud platforms, supporting the full journey from experimentation to deployment
  • Define architecture and standards for data pipelines, learning workflows, and model-serving APIs across AI/ML systems
  • Design, deploy, and operate production model-serving APIs across batch and real-time serving patterns, with clear SLAs for latency, throughput, and availability
  • Build and maintain Python-based automation, tooling, and services supporting AI/ML workflows and deployments
  • Define and maintain CI/CD pipelines and engineering standards for AI/ML workflows (code, data, and models)
  • Containerize and orchestrate AI/ML workloads using Docker and Kubernetes, with infrastructure managed as code
  • Own the design and maintenance of Dev / Stage / Prod environments on Azure
  • Govern management of model artifacts, registries, and feature/representation stores
  • Lead monitoring of system health, data drift, and model drift with alerting and remediation strategies
  • Own post-deployment support, incident response, and continuous improvement
  • 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:
  • Undergraduate degree or equivalent experience
  • 8+ years of experience building and operating production systems with real-world constraints
  • Hands-on experience with Azure cloud services, infrastructure management, and cloud-native deployment
  • Experience designing and operating production APIs and model-serving endpoints under defined SLAs and failure modes
  • Experience building CI/CD pipelines (e.g., GitHub Actions) and managing model versioning and registries
  • Experience implementing observability for production systems: logging, metrics, alerting, and drift detection
  • Solid software engineering fundamentals in Python, with solid software design, automation, and debugging skills
  • Proficiency with Docker, Kubernetes, and workflow orchestration for containerized workloads

Preferred Qualifications:
  • Infrastructure as Code experience (Terraform, Bicep, or equivalent)
  • Experience with vector and NoSQL databases, RAG pipelines, and GenAI platform engineering
  • Experience with distributed systems and streaming/event platforms (e.g., Kafka)
  • Experience operating AI/ML systems in a regulated or healthcare environment
  • Working knowledge of AI/ML lifecycles, model deployment patterns, and MLflow or equivalent tooling

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

Skills Required

  • Undergraduate degree or equivalent experience
  • 8+ years of experience building and operating production systems with real-world constraints
  • Hands-on experience with Azure cloud services, infrastructure management, and cloud-native deployment
  • Experience designing and operating production APIs and model-serving endpoints under defined SLAs and failure modes
  • Experience building CI/CD pipelines, such as GitHub Actions, and managing model versioning and registries
  • Experience implementing observability for production systems, including logging, metrics, alerting, and drift detection
  • Solid software engineering fundamentals in Python, including software design, automation, and debugging
  • Proficiency with Docker, Kubernetes, and workflow orchestration for containerized workloads
  • Infrastructure as Code experience with Terraform, Bicep, or equivalent
  • Experience with vector and NoSQL databases, RAG pipelines, and Generative AI platform engineering
  • Experience with distributed systems and streaming or event platforms such as Kafka
  • Experience operating AI/ML systems in a regulated or healthcare environment
  • Working knowledge of AI/ML lifecycles, model deployment patterns, and MLflow or equivalent tooling

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
  • Retirement Support A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
  • Equity Value & Accessibility An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
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Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
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