UnitedHealth Group / Optum seeks an AI/ML Engineer to join our digital consumer transformation. You will design, develop, and deploy AI/ML models using GenAI technologies to build customer-facing solutions and automate internal processes.
What You'll Do
- Design, develop, and deploy AI/ML models using GenAI technologies like LLMs, RAG, and Agentic AI
- Utilize agentic AI frameworks such as Claude Agents SDK, OpenAI Agents SDK, or Langchain to build customer-facing solutions
- Automate internal processes with advanced AI systems
- Deploy AI/ML solutions in production public cloud environments, including AWS, GCP, and Azure
- Conduct rigorous testing, validation, and performance optimization of Agentic AI systems
- Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
- Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
- Study emerging trends and advancements in generative AI and ML technologies, applying learnings to production systems
What We're Looking For
- Bachelor’s degree in Computer Science, Data Science, or a related field
Nice to Have
- Experience working on a consumer-facing or opensource project
- Professional experience working on a Python or Typescript codebase
Technical Stack
- GenAI technologies: LLMs, RAG, Agentic AI
- Agentic AI frameworks: Claude Agents SDK, OpenAI Agents SDK, Langchain
- Public cloud environments: AWS, GCP, Azure
- CI/CD pipelines: GitHub Actions
Team & Environment
You will be part of the Optum Technology Digital team and Consumer Engineering team within the Chief Digital Office (CDO).
Benefits & Compensation
- Compensation range: $72,800 to $130,000 annually
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Work Mode
This is a hybrid position based in the United States.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
