Customer Success AI Strategy & Agent Development Lead
Core
Lead the re-imagining of the Customer Success model to be agentic-first, designing and deploying GenAI agents to improve care teams' efficiency and patient outcomes.
Role type
Senior GenAI Solutions Engineer (AI Strategy & Agent Development)
Builds
Agentic infrastructure, production-grade AI agents, and scalable GenAI frameworks for healthcare partners.
Domain
Healthcare / Precision Medicine / Generative AI
Deliverable
production ML models | product features
Required skills
GenAI application development, agent orchestration, Python, API integration, prompt engineering, RAG, model evaluation, solution architecture, project delivery
Preferred skills
Healthcare domain knowledge, data privacy/PHI compliance, working with limited engineering resources
Technologies
LangChain, LlamaIndex, LLMs, APIs, webhooks
Responsibilities
Partner with customer leaders to uncover high-impact GenAI use cases; Design and implement agent-based solutions for workflow automation and patient communication; Build rapid prototypes and proof-of-concepts; Manage prompt design, chaining, context, and guardrails; Lead moderate-to-full implementations; Build integrations between customer data systems and Tempus OS; Configure, test, and tune agent performance; Evangelize AI safety and responsible deployment; Create solution templates and reference architectures; Train business users on interacting with deployed agents.
Seniority
Senior, hands-on IC with strategic leadership
