Manager AI/ML Engineering

Optum India; Chennai; Hybrid; INR 2,600,000 - 5,200,000; Full time

Job summary

Optum India is seeking an experienced AI Engineer to design and implement conversational AI platforms and agent-based systems. You will architect and orchestrate LLM-powered solutions on AWS Bedrock, integrating multiple tools and agent workflows.

Strong emphasis on security, observability, and scalable performance is required. You will collaborate across teams to model intents, craft prompts, and optimize agents for accuracy and latency, while aligning with enterprise AI governance and best

Qualifications

• :Graduate degree or equivalent experience.
• Hands-on 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.
• Solid hands-on AWS services knowledge: Bedrock, Bedrock AgentCore, Lambda, S3, DynamoDB, API Gateway, IAM, CloudWatch.

Responsibilities

• Develop conversational AI & agentic AI platforms.
• Leverage AWS Lex or equivalent deterministic bots.
• Build on AWS Bedrock and Bedrock AgentCore.
• Use AWS Strands SDK for orchestration.
• Develop voice and chat bots.
• Develop and orchestrate agentic AI apps.
• Model intents, design conversations, and apply NLU concepts.
• Develop LLM apps with tool calling, function calls, and agent workflows.
• Adhere to company policies and flexible work arrangements.

Skills

Generative AI

LLM orchestration

Prompt engineering

Agent-based AI

Multi-agent systems

Security controls

Observability

Cost optimization

Education

Graduate degree or equivalent experience

Tools

AWS Bedrock

Bedrock AgentCore

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

GitHub Copilot

ChatGPT

Cursor

Claude

Job description

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.