Forward Deployed Engineer (fde), Financial Services - Nyc

OpenAI OpenAI · AI Frontier · New York, NY · Model Deployment for Business

Forward Deployed Engineer (FDE) for financial services at OpenAI, responsible for leading end-to-end deployments of AI models within customer organizations. This role involves technical scoping, system design, build, and production rollout, with a focus on driving customer adoption and measuring workflow impact. The FDE will partner closely with customer teams, product, research, and GTM teams, and contribute to product and model roadmaps through field feedback.

What you'd actually do

  1. Own technical delivery across multiple deployments from first prototype to stable production
  2. Build full-stack systems that deliver customer value and sharpen how we learn
  3. Embed closely with customer teams, understand their needs, and guide adoption of what you build
  4. Scope work, sequence delivery, and remove blockers early
  5. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

Skills

Required

  • 5+ years of engineering or technical deployment experience
  • Experience with the financial services industry and/or investment lifecycle
  • Scoped and delivered complex systems in fast-moving or ambiguous environments
  • Production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Built or deployed systems powered by LLMs or generative models
  • Simplify complexity and make fast, sound decisions under pressure
  • Communicate clearly with engineers, product teams, and customer stakeholders
  • Spot risks early and adjust without slowing down

Nice to have

  • Model calm and judgment when the stakes are high

What the JD emphasized

  • customer-facing work
  • financial services industry
  • complex systems in fast-moving or ambiguous environments
  • production-grade code
  • systems powered by LLMs or generative models

Other signals

  • customer delivery
  • production systems
  • end-to-end deployments
  • customer adoption
  • workflow impact
  • feedback that changes product and model roadmaps