Reads like an AI Engineer role: building products on existing AI models.
Hyderabad, Telangana, India
Live, first seen by us 22 days agoBuild, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases
Design, develop, and maintain responsive, scalable, and secure web applications using modern front-end frameworks such as React, Angular, and TypeScript
Collaborate with product owners, architects, UX designers, and engineering teams to translate business requirements into technical solutions
Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, Database (SQL and /or Postgrace or Mongo / oracle), Cloud (Azure and/or GCP or AWS), Frontend (.Net and /or react / Angular) 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 to reduce manual effort and improve operational accuracyBuild and enhance backend services, APIs, and microservices using Java/Spring Boot, Python, Node.js, and related technologies
Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracyBuild and enhance backend services, APIs, and microservices using Java/Spring Boot, Python, Node.js, and related technologies Design, develop, and maintain responsive, scalable, and secure web applications using modern front-end frameworks such as React, Angular, and TypeScript Collaborate with product owners, architects, UX designers, and engineering teams to translate business requirements into technical solutions
Design, develop, and maintain responsive, scalable, and secure web applications using modern front-end frameworks such as React, Angular, and TypeScript Collaborate with product owners, architects, UX designers, and engineering teams to translate business requirements into technical solutions Develop and integrate RESTful APIs and cloud-based services across Azure, AWS, and GCP environments
8+ years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery
5+ years of hands-on experience across Java, Springbok, Kafka, Cucumber, React JS, nodes, Python, SQL, application development, and enterprise solution implementation
4+ years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment
Solid experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support
Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development
Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 22
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.
167 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.
- 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 to reduce manual effort and improve operational accuracyBuild and enhance backend services, APIs, and microservices using Java/Spring Boot, Python, Node.js, and related technologies - Design, develop, and maintain responsive, scalable, and secure web applications using modern front-end frameworks such as React, Angular, and TypeScript
- 8+ years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery - 5+ years of hands-on experience across Java, Springbok, Kafka, Cucumber, React JS, nodes, Python, SQL, application development, and enterprise solution implementation - 4+ years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment
Primary Responsibilities: - Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, Database (SQL and /or Postgrace or Mongo / oracle), Cloud (Azure and/or GCP or AWS), Frontend (.Net and /or react / Angular) - 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 to reduce manual effort and improve operational accuracyBuild and enhance backend services, APIs, and microservices using Java/Spring Boot, Python, Node.js, and related technologies - Design, develop, and maintain responsive, scalable, and secure web applications using modern front-end frameworks such as React, Angular, and TypeScript - Collaborate with product owners, architects, UX designers, and engineering teams to translate business requirements into technical solutions
- Collaborate with product owners, architects, UX designers, and engineering teams to translate business requirements into technical solutions - Develop and integrate RESTful APIs and cloud-based services across Azure, AWS, and GCP environments - Implement secure coding practices, performance optimization, and scalability standards to ensure enterprise-grade application delivery
- 4+ years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment - Solid experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support - Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development
- Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns - Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma - DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities
- Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma - DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities - Solid engineering fundamentals including APIs, microservices, scalable system design, testing, debugging, documentation, and secure development practices
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 12 other Senior AI/ML Engineer jobs there since August 2026. All 12 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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.
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:
Provides explanations and interpretations within area of expertise
Required Qualifications:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Hyderabad, Telangana, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.