Gurgaon, Haryana, India
Actively hiring, first seen by us 1 day agoDesign and develop AI-driven, cloud-native applications and AI agents
Build, integrate, test and deploy GenAI, agentic AI, LLM and RAG solutions
Create and maintain automation frameworks, validation engines and data extraction
Translate business requirements into scalable, secure, production-ready solutions
Ensure code quality, CI/CD readiness, testing, documentation and monitoring
Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents
Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases
Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows
translate requirements into scalable, secure, production-ready technical solutions
Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 71.
At UnitedHealth Group, jobs usually come down by about day 12.
From 4,626 similar postings that came down, and 844 of UnitedHealth Group’s. Coming down is not always a hire.
157 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, .NET, SQL, Azure and/or GCP. Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services. Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy. Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions. Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards. Graduate degree or equivalent experience. 3-5 years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery. Minimum 3 years of hands-on experience across .NET, Python, SQL, application development, and enterprise solution implementation. At least 2 years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment. Strong experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support. Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns. Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development. Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM
Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, .NET, SQL, Azure and/or GCP. Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services. Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy. Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions. Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards. Graduate degree or equivalent experience. 3-5 years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery. Minimum 3 years of hands-on experience across .NET, Python, SQL, application development, and enterprise solution implementation. At least 2 years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment. Strong experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support. Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns. Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development. Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 7 other Associate AI/ML Engineer jobs there since May 2026. 5 came down, usually after about 7 days. 2 are still up.
If this one keeps the same pace, it may come down around November 13.
Large employers often post one title for several teams, so these can be separate openings.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, .NET, SQL, Azure and/or GCP.
Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services.
Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy.
Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions.
Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards.
Graduate degree or equivalent experience.
3-5 years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery.
Minimum 3 years of hands-on experience across .NET, Python, SQL, application development, and enterprise solution implementation.
At least 2 years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment.
Strong experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support.
Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns.
Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development.
Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities.
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Gurgaon, Haryana, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
