Director of Forward Deployed Engineering (Life Sciences) - Hippocratic AI - Palo Alto, CA
Hippocratic AI
We are seeking a Director, Forward Deployed Engineering to own the technical strategy, integration architecture, and deployment execution that enables Hippocratic AI to launch voice-forward AI agents in life sciences
This is one of the most technically creative roles in the company - defining how agentic AI connects to customers requirements, and to the technical infrastructure within complex and security-conscious pharma, biotech, and medtech IT environments
You will translate customer needs into Hippocratic agent technical specs and iterate with both the customer and the internal tech team on developing AI agents
You will design the integration of Hippocratic agents with pharma customer CRM ecosystems, data lakes, and API architectures, working within their data governance frameworks and IT approval processes
You will own the agent script development, integration architecture, technical approval playbooks, and deployment operations that translate signed enterprise contracts into live, production-grade implementations
You will grow and develop a talent-dense team of Forward Deployed Engineers
Customer-Facing Technical Leadership
Serve as the company’s senior technical voice in customer-facing engagements — participating in enterprise sales cycles, technical workshops, and architecture reviews with pharma IT, security, and data teams
Support Sales during RFP and RFI processes by providing accurate, compelling technical responses that demonstrate the platform’s integration maturity and deployment readiness
Lead technical discovery sessions with customer IT teams during the sales process — assessing integration requirements, identifying technical risks, defining deployment scope, and building the technical implementation plan that accompanies the commercial proposal
Customer AI Agent Development
Drive the translation of customer use case requirements into technical specs for AI agent development, from discovery through to UAT
Develop best practices