Forward Deployed Engineer - Zurich

Openai; Deutschland; Vor Ort; EUR 151.383 - 216.262; Vollzeit

Benefits dieser Stelle

Relocation assistance

Hybrid work model

Travel up to 50%

Zusammenfassung

OpenAI is seeking Forward Deployed Engineers (FDEs) to lead complex end-to-end deployments of frontier models in production with strategic customers. You will own discovery, scoping, system design, build, and rollout, partnering with customer engineering teams. The role is based in Zurich with a hybrid work model (3 days in the office) and relocation assistance.

Travel up to 50% is required. You will collaborate across Product, Research, Partnerships, GRC, Security, and GTM to measure success by

Aufgaben

• Own technical delivery across multiple deployments from first prototype to stable production
• Build full-stack systems that deliver customer value and sharpen how we learn
• Embed closely with customer teams, understand their needs, and guide adoption

Jobbeschreibung

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Zurich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

• Own technical delivery across multiple deployments from first prototype to stable production
• Build full-stack systems that deliver customer value and sharpen how we learn
• Embed closely with customer teams, understand their needs, and guide adoption