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Manager AI/ML Engineering

Reads like an AI Engineer role: building products on existing AI models.

Chennai, Tamil Nadu, India; Gurgaon, Haryana, India; Noida, Uttar Pradesh, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India

Actively hiring, first seen by us 13 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Develop voice and chat bots on AWS Lex or similar deterministic bot tools

  • Build agentic AI applications and orchestrate agent workflows

  • Design intents, conversations and prompts for NLU-based bots

  • Develop LLM applications with tool calling and function calling

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Hands-on experience building production Generative AI apps on Amazon Bedrock
  • Experience developing AI agents with Bedrock AgentCore and AWS Strands
  • Experience with LLM orchestration, tool integrations and multi-agent workflows
  • Experience securing enterprise AI agents with guardrails and access controls

Preferred experience

  • Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures - Will be a Plus
  • Experience with multi-agent systems and advanced agent orchestration patterns
  • Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security control
Qualification wording
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 securing enterprise AI agents including guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls
Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures - Will be a Plus
Experience with multi-agent systems and advanced agent orchestration patterns
Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security control
Apply at UnitedHealth Group

Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 31, 202613 days ago
Recorded sightings
14
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 4 and day 77.

At UnitedHealth Group, jobs usually come down by about day 13.

From 51 similar postings that came down, and 942 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

167 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 10% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • DynamoDB
  • S3
Where the posting names them
- Conversational AI & Agentic AI Platforms (MUST) - AWS Lex or Any Other Deterministic Bot - AWS Bedrock and Bedrock AgentCore
- AWS Lex or Any Other Deterministic Bot - AWS Bedrock and Bedrock AgentCore - AWS Strands SDK / Framework
- AWS Bedrock and Bedrock AgentCore - AWS Strands SDK / Framework - Voice Bot and Chat Bot development
- 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 conversational analytics, agent evaluation frameworks, and bot performance optimization - Cloud & Infrastructure (MUST) Solid hands-on experience with AWS services including:- Amazon Bedrock - Bedrock AgentCore
- Bedrock AgentCore - AWS Lambda - Amazon S3
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
- Amazon S3 - DynamoDB - API Gateway
- AWS Lambda - Amazon S3 - DynamoDB

Your next step

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

Applying through Radancy (TalentBrew)

  • Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.

Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed 5 other Manager AI/ML Engineering jobs there since April 2026. One came down after 42 days. 4 are still up.

  1. BengaluruCame down after 42 days, first seen Apr 28
  2. Place not statedStill up after 87 days, first seen Aug 18
  3. GurugramStill up after 50 days, first seen Sep 25
  4. ChennaiStill up after 42 days, first seen Oct 3
  5. This jobUp 14 days so far, first seen Oct 31
  6. BengaluruStill up after 7 days, first seen Nov 7

Large employers often post one title for several teams, so these can be separate openings.

About UnitedHealth Group

People
About 390,000 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UNH.
H-1B visas
11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

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.
 

Source details

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Pay

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Location & working pattern

Chennai, Tamil Nadu, India; Gurgaon, Haryana, India; Noida, Uttar Pradesh, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India

Working pattern and location restrictions need checking in the full posting.

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