Senior AI/ML Engineer - Remote - Central Time Zone Preferred
About The Position
Optum Tech is hiring a Senior AI/ML Engineer to build production agentic AI systems for conversational healthcare experiences. The role is remote within the United States, with a preference for the Central Time Zone. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. The engineer will develop multi-agent orchestration systems and backend services that connect large language models with healthcare systems. The role also includes implementing healthcare-specific safety and compliance measures, deploying containerized workloads to AWS, and collaborating with product and clinical stakeholders to evaluate and improve AI workflows. The engineer will monitor production performance, usage, latency, and user satisfaction, and stay current with developments in generative AI and responsible AI practices. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. Candidates must pass a drug test before beginning employment.
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- At least 4 years of hands-on experience with Python, TypeScript, or another relevant backend language such as Java or Node.js.
- Experience building RESTful or GraphQL APIs in production environments.
- Understanding of LLM fundamentals, such as prompting, context management, or model integration.
Nice To Haves
- Production experience with agentic AI frameworks such as 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 such as Lambda, ECS, App Runner, AppSync, or DynamoDB.
- Experience with healthcare applications, HIPAA compliance, or regulated industries.
- Experience with multi-agent systems, agent orchestration, or workflow engines.
- Experience with FastAPI, Express, or a similar backend framework.
Responsibilities
- Design, develop, and deploy production agentic AI systems using OpenAI Agents SDK, Claude Agents SDK, or similar frameworks for conversational healthcare experiences.
- Build and maintain multi-agent orchestration systems that route 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, including AWS Bedrock and Vertex AI, with healthcare systems through GraphQL APIs and AWS AppSync.
- Implement healthcare-specific guardrails, including PII detection and scrubbing, prompt safety, and compliance controls for patient-facing applications.
- Deploy containerized AI/ML workloads to AWS services such as App Runner, ECS, and Lambda, using Terraform and CI/CD pipelines such as 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 generative AI patterns, agent frameworks, and responsible AI practices for healthcare applications.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
