Director of AI (FDE)

Director of Agent Systems Engineering (Forward Deployed Engineering)Location: Remote (U.S.) — Monthly team meetupsCompensation: Up to ~$300K base + equityAbout the RoleWe’re partnering with a fast-growing healthtech company building AI agents that operate real clinical workflows — including patient intake, administrative automation, and clinician support.After deploying these systems in production, one thing became clear:The hard problem isn’t the model — it’s making the system reliable enough to run real workflows.These workflows are long-running, touch multiple systems (EHRs, APIs, internal tools), and require correctness, traceability, and resilience when things break.To support this, the company is scaling its Forward Deployed Engineering (FDE) function from ~20 → 50 engineers this year.We’re hiring a Director of Agent Systems Engineering to lead part of this organization.What You’ll DoThis role sits at the intersection of AI engineering and real-world deployment.You will lead teams responsible for turning complex workflows into production-grade agent systems — and ensuring those systems are reliable, observable, and repeatable.Key responsibilities include:Designing repeatable delivery systems for deploying agent workflows into productionMentoring and scaling engineering pods, driving execution and technical excellenceCapacity planning and delivery predictability across multiple concurrent deploymentsSetting the technical bar for reliability, observability, and system correctnessDriving architecture and system design, including debugging multi-step workflows and failure modesFeeding learnings back into the core platform as reusable primitives and abstractionsThis is a hands-on leadership role — you’ll be close to architecture, system behavior, and real production issues.What We’re Looking ForWe’re looking for engineers who think in systems, not just models.Strong candidates will have:Experience building and scaling distributed systems or platform infrastructureExposure to AI/LLM-based systems, ideally including agent workflows or orchestrationA deep understanding of reliability, observability, and failure handling in production systemsExperience working with complex, multi-step workflows across multiple services or APIsA track record of turning repeated patterns into reusable platform capabilitiesLeadership experience managing teams and driving delivery in ambiguous environmentsBackgrounds may include:Platform / infrastructure engineeringML platform or AI systemsWorkflow orchestration / distributed systemsForward deployed or customer-facing engineering roles