Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
5+ years of software engineering experience
2+ years of experience in developing and supporting AI/ML applications, LLM
Experience building applications with large language models, prompt engineering, RAG, vector databases, or agent frameworks
Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
Qualification wording
Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
5+ years of software engineering experience
2+ years of experience in developing and supporting AI/ML applications, LLM
Experience building applications with large language models, prompt engineering, RAG, vector databases, or agent frameworks
Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
Education & alternatives
Required Qualifications:
- Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
- 8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
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.
Java
Python
SQL
Docker
Kubernetes
Hugging Face
PyTorch
scikit-learn
TensorFlow
Where the posting names them
- Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
- 8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
- 5+ years of software engineering experience
- Support integration of AI services with provider portals, dashboards, UM applications, clinical systems, and enterprise data platforms
- Write clean, secure, maintainable, and well-tested Python code
- Participate in design discussions, code reviews, sprint demonstrations, defect resolution, and release activities
- Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
- Familiarity with cloud platforms, Docker, Kubernetes, CI/CD, logging, and application monitoring
- Understanding of secure coding, data privacy, model traceability, responsible AI, and human-in-the-loop design
- Working knowledge of machine learning, natural language processing, embeddings, transformers, and model evaluation
- Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
- Familiarity with cloud platforms, Docker, Kubernetes, CI/CD, logging, and application monitoring
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 12 other Senior AI/ML Engineer jobs there since August 2026. All 12 are still up.
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GurugramStill up after 1 day, first seen Nov 12
Eden PrairieStill up after 1 day, first seen Nov 13
This jobUp 1 day so far, first seen Nov 13
Oct 7Today
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:
Serve as a hands-on individual contributor building and supporting AI/ML capabilities for the Behavioral Health portfolio
Workflows, APIs, data pipelines, automated testing, and production-ready components that enable scalable AI-powered business solutions
Develop assigned components under the technical direction of Lead and Senior AI engineers
Focus on coding, model integration, prompt development, automated testing, data processing, deployment, and production support
Contribute reusable components across BH UM Modernization, BH Provider Digital Agentic AI, ABA AI, ABA Oversight and Supervision, and Provider Health Dashboard.
Grow into broader feature ownership as technical expertise and business-domain knowledge develop
Develop, test, and maintain AI/ML services, large language model workflows, APIs, data pipelines, and application components
Build document-processing capabilities including ingestion, classification, extraction, chunking, summarization, and evidence identification
Develop model-evaluation scripts, automated tests, regression suites, and data-quality checks.
Support integration of AI services with provider portals, dashboards, UM applications, clinical systems, and enterprise data platforms
Write clean, secure, maintainable, and well-tested Python code
Participate in design discussions, code reviews, sprint demonstrations, defect resolution, and release activities
Monitor AI services and investigate prompt, model, data, performance, and integration issues
Create technical documentation for code, APIs, prompts, data mappings, evaluation results, and deployment processes
Follow responsible AI, privacy, security, compliance, and human-review requirements
Use AI-assisted development tools throughout requirements, coding, testing, documentation, and troubleshooting
Collaborate effectively across engineering, product, data, operations, and business teams
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:
Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
5+ years of software engineering experience
2+ years of experience in developing and supporting AI/ML applications, LLM
Experience building applications with large language models, prompt engineering, RAG, vector databases, or agent frameworks
Working knowledge of machine learning, natural language processing, embeddings, transformers, and model evaluation
Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
Familiarity with cloud platforms, Docker, Kubernetes, CI/CD, logging, and application monitoring
Understanding of secure coding, data privacy, model traceability, responsible AI, and human-in-the-loop design
Proven solid analytical, debugging, collaboration, and technical-documentation skills
Proven willingness to learn Behavioral Health, utilization management, ABA, provider operations, and healthcare compliance workflows
Proven ability to work effectively within cross-functional and distributed delivery teams
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.