Forward Deployed Engineer, Technology Lead

Role overview

This staff-level, forward-deployed engineering lead drives AI-powered operational transformations inside health systems. The role leads a five-person client-embedded team, partners with internal research and development leaders, and shapes conversational AI solutions that deliver measurable improvements to hospital operations.

• Build deep understanding of client context to identify high-leverage opportunities for AI Operational Assistant workflows
• Design, execute, and optimize bespoke conversational AI use cases on site at the client
• Leverage large language models and agentic frameworks to build advanced conversational systems, including state machines, decision trees, and graph-based flows
• Integrate bots with APIs, CRMs, and enterprise systems through custom scripts and external system connections
• Continuously tune and improve AI agents using real user data, resolving breakdowns and fallback issues
• Develop unit, regression, and A/B tests to ensure conversational performance and implement real-time monitoring, analytics, and logging
• Collaborate with internal architects, engineers, and data scientists as well as client end-users and IT teams to define and refine product requirements
• Document conversation logic, prompt structures, and decision workflows, and mentor cross-functional teammates

• Five or more years of experience in product management or solution architect roles with a strong delivery track record
• Hands-on experience with agentic design, prompt engineering, and prompt architecture
• Strong coding proficiency
• Excellent communicator able to influence and collaborate across all levels, including executives
• Comfortable working in a rapidly changing environment with evolving objectives and iterative user feedback
• Willingness to travel to client sites as needed, expected between 25% and 50%

• Experience with voice-enabled conversational AI systems
• Familiarity with vector databases, embeddings, and retrieval-augmented generation
• Knowledge of knowledge graphs applied in AI agent workflows
• Prior experience building AI agents or automated workflows in healthcare or other regulated industries
• Background in healthcare operations, medicine, or healthcare finance

• Salary range: $220,000 - $245,000 USD, based on market data and factors including location, skills, and experience
• Open paid time off, paid parental leave, professional development funding, wellness and technology stipends, employee referral bonus, and equity awards