Manager AI/ML Engineering
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Before you apply
LocationChennai, Tamil Nadu, India; Gurgaon, Haryana, India; Noida, Uttar Pradesh, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
SeniorityLead
Company size10,000+ people
PostedOct 30, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Conversational AI & Agentic AI Platforms
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
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 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
Experience implementing Retrieval-Augmented Generation (RAG) architectures
Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures - Will be a Plus
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
Comply with all applicable Company policies, procedures, and business directives
Skills
AWS Lex
AWS Bedrock
Bedrock AgentCore
AWS Strands SDK
AWS Lambda
Amazon S3
DynamoDB
API Gateway
IAM
CloudWatch
GitHub Copilot
ChatGPT
Cursor
Claude
About the company
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.