Manager AI/ML Engineering

Posted 25 Minutes Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Lead the development and productionization of AI/ML, Generative AI, and Agentic AI solutions for digital analytics and experience optimization. Design RAG, LLM, intelligent automation, and customer journey analytics capabilities; integrate Adobe Analytics technologies; and provide hands-on architecture and engineering leadership. Partner with product, analytics, data engineering, UX, marketing, and technology teams while establishing secure, governed MLOps, monitoring, evaluation, and deployment practices.
Summary Generated by Built In
Requisition Number: 2397644
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:
  • Develop and execute AI/ML, Generative AI, and Agentic AI solutions for Digital Analytics, accelerating measurement, insights, experimentation, and experience optimization across enterprise web and mobile experiences
  • Apply AI across the Digital Analytics lifecycle, including requirements/BRD creation, technical specifications, data-layer mapping, analytics implementation, QA/UAT, reporting, insights, and optimization
  • Build AI-enabled capabilities that integrate with the broader Adobe Analytics ecosystem, including Adobe Analytics, CJA, AEP/WebSDK, Adobe Launch, and Adobe Target
  • Partner with Product, Digital Analytics, Data Engineering, UX, Marketing, and Technology teams to identify and prioritize high-value AI/ML opportunities and translate business problems into scalable technical solutions
  • Design and engineer GenAI, RAG, Agentic AI, and intelligent automation solutions utilizing LLMs, APIs, structured/unstructured data, vector databases, and enterprise knowledge sources
  • Develop AI-powered approaches that accelerate customer journey analytics, behavioral insights, experimentation, personalization, anomaly detection, and digital experience optimization
  • Provide hands-on technical leadership across architecture, prototyping, engineering, deployment, and productionization while continuously evaluating emerging AI models, frameworks, and engineering patterns
  • Apply Agile, DevSecOps, MLOps, and AIDLC practices to establish secure, governed, automated deployment and monitoring across the AI/ML lifecycle
  • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:
  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related technical discipline
  • 8+ years of experience across Software Engineering, Data Science, Analytics, or AI/ML Engineering, including 3+ years focused on Generative AI and modern AI engineering
  • Hands-on experience with OpenAI-compatible LLMs, Claude, Gemini, LangChain/LangGraph, AI Agents, RAG, Vector Databases, Prompt Engineering, and model fine-tuning
  • Experience with modern data and cloud platforms such as Databricks, Azure, AWS, or GCP, including scalable data processing and AI/ML workloads
  • Experience with Digital Analytics and customer journey data; knowledge of Adobe Analytics, Customer Journey Analytics (CJA), AEP/WebSDK, Adobe Launch, Adobe Target, or similar digital experience platforms is strongly preferred
  • Solid knowledge of Python, APIs, data pipelines, model orchestration, MLflow, TensorFlow, PyTorch, Scikit-learn, and production AI engineering practices
  • Understanding of clickstream data, digital measurement frameworks, customer identity, behavioral analytics, experimentation, personalization, and digital product analytics
  • Solid understanding of AI governance, security, observability, model evaluation, automated deployment, and responsible AI practices

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.

Skills Required

  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related technical discipline
  • 8+ years of experience across Software Engineering, Data Science, Analytics, or AI/ML Engineering
  • 3+ years focused on Generative AI and modern AI engineering
  • Hands-on experience with OpenAI-compatible LLMs, Claude, Gemini, LangChain/LangGraph, AI agents, RAG, vector databases, prompt engineering, and model fine-tuning
  • Experience with Databricks, Azure, AWS, or GCP for scalable data processing and AI/ML workloads
  • Experience with digital analytics and customer journey data
  • Knowledge of Adobe Analytics, Customer Journey Analytics, AEP/WebSDK, Adobe Launch, Adobe Target, or similar digital experience platforms
  • Knowledge of Python, APIs, data pipelines, model orchestration, MLflow, TensorFlow, PyTorch, Scikit-learn, and production AI engineering practices
  • Understanding of clickstream data, digital measurement frameworks, customer identity, behavioral analytics, experimentation, personalization, and digital product analytics
  • Understanding of AI governance, security, observability, model evaluation, automated deployment, and responsible AI practices

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
  • Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
  • Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.

Optum Insights

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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
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