The opportunity
OpenAI’s Forward Deployed Engineering (FDE) team partners with global pharma and biotech, CROs, and research institutions to deploy production-grade AI systems across the R&D value chain. We operate at the intersection of customer delivery and core platform development,…
What you'll do
Lead and grow a team of FDEs delivering production AI systems across regulated life sciences environments
Be accountable for your team’s end-to-end delivery outcomes, balancing scope,: speed, robustness, and risk in high-stakes deployments
Coach and develop engineers through direct feedback, high technical: standards, and clear expectations for execution and ownership
Operate as a player-coach, directly contributing to production systems while: leading, coaching, and setting technical direction
Guide teams through ambiguous, multi-workstream engagements spanning data,: workflows, infrastructure, security, and scientific stakeholders
Run evaluation loops that measure model and system quality against: workflow-specific scientific benchmarks, then convert results into crisp roadmap input
What they're looking for
- Bring 8+ years of engineering or technical delivery experience, including 2+: years managing high-performing customer-facing or systems-oriented engineering teams
- Have led complex, high-pressure technical programs from prototype through: sustained production use in regulated environments
- Have experience working in or adjacent to life sciences R&D, clinical: research, scientific software, or regulated scientific data environments
- Write and review production-grade code and can guide architectural decisions: across backend, data, and ML-adjacent systems
