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OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development.
In this role, you will lead complex end-to-end deployments of frontier AI models in production alongside OpenAI's most strategic customers. You own the full lifecycle: discovery, technical scoping, system design, build, and production rollout, working directly with customer engineering and domain teams. Success is measured through production adoption, measurable workflow impact, and eval-driven feedback that shapes product and model roadmaps.
Key responsibilities include:
- Owning technical delivery across multiple deployments from prototype to stable production
- Building full-stack systems that deliver customer value and generate actionable learning
- Embedding closely with customer teams to understand needs and guide adoption
- Scoping work, sequencing delivery, and removing blockers early
- Making trade-offs between scope, speed, and quality while protecting delivery timelines
- Contributing directly to code when necessary for progress or clarity
- Codifying working patterns into tools, playbooks, and reusable building blocks
- Sharing field feedback that informs Research and Product on model performance and improvement areas
- Maintaining team momentum through clarity and follow-through
You will collaborate closely with Product, Research, Partnerships, GRC, Security, and GTM teams. The role is based in Paris with a hybrid work model (3 days in office per week). Travel up to 50% is required. Relocation assistance is offered.
Requirements:
- 5+ years of engineering or technical deployment experience including customer-facing work
- Experience scoping and delivering complex systems in fast-moving or ambiguous environments
- Production-grade coding ability across frontend and backend (Python, JavaScript, or comparable stacks)
- Experience building or deploying systems powered by LLMs or generative models, with understanding of how model behavior affects product experience
- Ability to simplify complexity and make fast, sound decisions under pressure
- Clear communication with engineers, product teams, and customer stakeholders
- Early risk identification and adjustment capability without slowing momentum
- Calm judgment and composure when stakes are high
