Staff Forward Deployed Engineer, Technology Lead
Core
Lead a forward-deployed team to design, implement, and optimize bespoke AI workflows and conversational systems for healthcare operational transformation.
Role type
Staff Forward Deployed Engineer, Technology Lead
Builds
AI-powered operational assistants, agentic systems, and enterprise integrations for healthcare clients
Domain
Healthcare operations + Generative AI / Agentic Systems
Deliverable
production ML models | product features
Required skills
Agentic AI design, Prompt engineering, LLM integration, Python/Java/TypeScript, System architecture, API integration, Unit testing, A/B testing, Technical mentorship
Preferred skills
Voice-enabled conversational AI, Vector databases, RAG, Knowledge graphs, Healthcare domain knowledge
Technologies
GPT, Claude, Gemini, LLaMA, Python, Java, TypeScript, JavaScript
Responsibilities
Lead a five-person forward-deployed team working directly with client stakeholders to deliver AI-powered operational transformation. Develop a deep understanding of client environments, workflows, and challenges to identify high-impact opportunities for bespoke AI solutions. Design, implement, execute, and continuously optimize AI-powered operational assistant use cases tailored to client needs. Build advanced conversational systems using leading LLM technologies such as GPT, Claude, Gemini, and LLaMA. Apply agentic frameworks, prompt engineering, and conversation modeling techniques including state machines, decision trees, and graph-based workflows. Integrate AI agents with APIs, CRMs, enterprise systems, and other client technology environments in collaboration with backend engineering teams. Extend AI functionality through custom scripts, API calls, and external system integrations. Continuously tune AI agents using real-world user data and resolve breakdowns, mismatches, fallback issues, and other performance challenges. Develop and execute unit, regression, and A/B testing strategies to evaluate and improve conversational performance. Implement monitoring, analytics, and logging capabilities to identify performance trends and inform optimization. Partner with AI solution consultants, architects, engineers, data scientists, and client teams to define and refine product requirements. Work closely with software engineers and data scientists to improve LLM integration, agent behavior, and system performance. Document conversation logic, prompt structures, decision workflows, and technical approaches to support scalability and maintainability. Mentor and support cross-functional teammates while promoting strong technical and delivery practices across the forward-deployed team.
Seniority
Staff, hands-on IC with technical leadership
