Forward Deployed Engineer - London

OpenAI OpenAI · AI Frontier · London, United Kingdom · Model Deployment for Business

This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving discovery, technical scoping, system design, build, and production rollout. The engineer will build full-stack systems, embed with customer teams, and contribute code when necessary, with success measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires experience with LLMs or generative models and delivering complex systems in ambiguous environments.

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 scoping and delivering complex systems in fast-moving or ambiguous environments
  • Production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Experience building or deploying systems powered by LLMs or generative models
  • Ability to simplify complexity and make fast, sound decisions under pressure
  • Clear communication with engineers, product teams, and customer stakeholders
  • Ability to spot risks early and adjust without slowing down
  • Model calm and judgment when the stakes are high

Nice to have

  • customer-facing work

What the JD emphasized

  • customer-facing work
  • delivered complex systems
  • built or deployed systems powered by LLMs or generative models

Other signals

  • customer delivery
  • production systems
  • frontier models
  • end-to-end deployments
  • system design
  • production rollout
  • measurable workflow impact
  • eval-driven feedback
  • product and model roadmaps