Strata is looking to build its next generation of intelligent agents to enhance its platform's ability to deliver insights, automation, and decision support, ultimately impacting how healthcare providers leverage data for better patient care and financial performance.
Requirements
- AWS AI technologies such as Bedrock, SageMaker, Transcribe, and S3
- Anthropic Claude models (3.5, 3.7, 4+) and AWS Nova
- Agent prompting, instructions, workflow orchestration, and RAG patterns
- Python and SQL
- MCP technologies including client, agent, server, and tools
- AI chat agents in production environments
- Agent evaluation strategies and building safety guardrails
Responsibilities
- design and implement advanced agentic AI solutions
- design, implement, and refine AI agents
- Apply best practices in agent prompting, workflow orchestration, and retrieval-augmented generation (RAG)
- Rapidly evaluate new AWS AI features and emerging technologies, integrating them into production where valuable
- Build and manage vector-store knowledge bases to support agent reasoning and contextual responses
- Develop and test new agentic workflows, including evaluation and guardrail strategies to ensure reliability
- Communicate complex technical concepts and solutions clearly with internal stakeholders in healthcare
Other
- Working closely with architects, data scientists, platform engineers, and product leaders
- Communicate complex technical concepts and solutions clearly with internal stakeholders in healthcare
- Communicating technical concepts effectively with internal stakeholders in healthcare
- The preferred location for this role is in Chicago, IL or St. Louis, MO.
- We are truly a hybrid environment with all team members experiencing the flexibility to work from home.
