Manager AI/ML Engineering

Posted Yesterday
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Chennai, Tamil Nadu, IND
In-Office
Entry level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Build and manage production-grade conversational, generative, and agentic AI applications using Amazon Bedrock, Bedrock AgentCore, and AWS Strands. Lead voice and chat bot development, agent orchestration, prompt engineering, tool calling, evaluation, security, monitoring, optimization, and responsible AI controls. Develop scalable cloud-native architectures using AWS services, improve agent accuracy and reliability, and support enterprise AI governance and performance.
Summary Generated by Built In
Requisition Number: 2392557
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:
  • Conversational AI & Agentic AI Platforms (MUST)
  • AWS Lex or Any Other Deterministic Bot
  • AWS Bedrock and Bedrock AgentCore
  • AWS Strands SDK / Framework
  • Voice Bot and Chat Bot development
  • Agentic AI application development and orchestration
  • Intent modeling, conversation design, prompt engineering, and NLU concepts
  • LLM application development, tool calling, function calling, and agent workflows
  • 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:
  • Graduate degree or equivalent experience
  • Hands-on experience building production-grade Generative AI applications using Amazon Bedrock
  • Experience developing and orchestrating AI agents using Bedrock AgentCore and AWS Strands
  • Experience with LLM orchestration frameworks, tool integrations, and multi-agent workflows
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures(Optional)
  • Experience with prompt engineering, model evaluation, grounding, and agent performance tuning
  • Experience securing enterprise AI agents including guardrails, prompt injection mitigation, data
    protection, access controls, and responsible AI controls
  • Experience optimizing LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency
  • Experience monitoring and troubleshooting production AI agents and conversational AI systems
  • Experience using AI tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar development accelerators (One of the tools is a must)
  • Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization
  • Cloud & Infrastructure (MUST) Solid hands-on experience with AWS services including:
    • Amazon Bedrock
    • Bedrock AgentCore
    • AWS Lambda
    • Amazon S3
    • DynamoDB
    • API Gateway
    • IAM
    • CloudWatch
    • Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures - Will be a
      Plus
    • Generative AI & Agent Engineering

Preferred Qualifications:
  • AWS Certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent
  • Experience with multi-agent systems and advanced agent orchestration patterns
  • Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security control

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

  • Graduate degree or equivalent experience
  • Hands-on experience building production-grade Generative AI applications using Amazon Bedrock
  • Experience developing and orchestrating AI agents using Bedrock AgentCore and AWS Strands
  • Experience with LLM orchestration frameworks, tool integrations, and multi-agent workflows
  • Experience implementing Retrieval-Augmented Generation architectures
  • Experience with prompt engineering, model evaluation, grounding, and agent performance tuning
  • Experience securing enterprise AI agents, including guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls
  • Experience optimizing LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency
  • Experience monitoring and troubleshooting production AI agents and conversational AI systems
  • Experience using AI development tools such as GitHub Copilot, ChatGPT, Cursor, or Claude
  • Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization
  • Solid hands-on experience with Amazon Bedrock, Bedrock AgentCore, AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, and CloudWatch
  • Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures
  • AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent certification
  • Experience with multi-agent systems and advanced agent orchestration patterns
  • Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls

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.

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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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