Forward Deployed AI Engineer (Hybrid, Paris)

Fdetimes; Paris; Hybrid; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model (Paris)

Job summary

OpenAI Forward Deployed Engineers 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.

Qualifications

• 5+ years of engineering or technical deployment experience with customer-facing work.
• Experience scoping and delivering complex systems in fast-moving environments.
• Proficient in production-grade code across frontend and backend.
• Experience with systems powered by LLMs or generative models.
• Ability to make fast, sound decisions under pressure.
• Excellent written and verbal communication with engineers and customers.

Responsibilities

• Own technical delivery across multi deployments from prototype to production.
• Build full-stack systems delivering customer value and sharpening how we learn.
• Embed with customer teams to understand needs and drive adoption.
• Scope work, sequence delivery, and remove blockers early.
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
• Contribute code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks for others.
• Share field feedback that helps Research and Product understand model performance.
• Keep teams moving through clarity and follow-through.

Skills

Engineering experience

Customer-facing

Python/JavaScript

LLM deployments

Decision making

Communication

Job description

OpenAI Forward Deployed Engineers 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.