Senior AI/ML Engineer - Remote (Central Time Zone)
Indexed description
Primary Responsibilities
- Design, develop, and deploy production agentic AI systems using OpenAI Agents SDK, Claude Agents SDK, or similar frameworks to power conversational healthcare experiences
- Build and maintain multi-agent orchestration systems that route user requests across specialized Line-of-Business AI agents using Agent-to-Agent (A2A) protocols
- Develop FastAPI backends and Node.js/TypeScript services that integrate LLMs (AWS Bedrock, Vertex AI) with healthcare systems through GraphQL APIs and AWS AppSync
- Implement healthcare-specific guardrails including PII detection/scrubbing, prompt safety, and compliance controls for patient-facing applications
- Deploy containerized AI/ML workloads to AWS (App Runner, ECS, Lambda) with infrastructure-as-code using Terraform and CI/CD pipelines (GitHub Actions)
- Collaborate with product and clinical stakeholders to design, evaluate, and optimize agentic AI workflows using quantitative metrics and user feedback
- Monitor LLM application performance, token usage, latency, and user satisfaction in production environments serving millions of health plan members
- Stay current with emerging patterns in generative AI, agent frameworks, and responsible AI practices for healthcare applications
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, or related field
- 4+ years of hands-on experience with Python or TypeScript or other relevant backend languages such as Java, Node.js
- Experience building RESTful or GraphQL APIs in production environments
- Understanding of LLM fundamentals (prompting, context management, or model integration)
- Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status)
- Production experience with agentic AI frameworks (OpenAI Agents SDK, Claude Agents SDK, LangGraph, or similar)
- Hands-on experience with AWS Bedrock, Vertex AI, or Azure OpenAI services
- Experience measuring and improving LLM applications using evaluation frameworks, prompt iteration, or user feedback loops
- Infrastructure-as-code experience with Terraform or CloudFormation
- Experience with AWS services (Lambda, ECS, App Runner, AppSync, DynamoDB)
- Healthcare applications, HIPAA compliance, or experience in regulated industries
- Multi-agent systems, agent orchestration, or workflow engines
- FastAPI, Express, or similar backend framework experience
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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.
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.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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