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