Forward Deployed Engineer - UAE

About the team

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).

About the role

As a Forward Deployed Engineer, you will lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. Your responsibilities include:

• Owning technical delivery across multiple deployments from first prototype to stable production
• Building full-stack systems that deliver customer value and sharpen how we learn
• Embedding closely with customer teams, understanding their needs, and guiding adoption of what you build
• Scoping work, sequencing delivery, and removing blockers early
• Making trade-offs between scope, speed, and quality; adjusting plans to protect delivery
• Contributing directly to the code when progress or clarity depends on it
• Codifying working patterns into tools, playbooks, or building blocks that others can use
• Sharing field feedback that helps Research and Product understand where the models succeed and where they can improve
• Keeping teams moving through clarity and follow-through

Requirements

You might thrive in this role if you:

• Have 5+ years of engineering or technical deployment experience that includes customer-facing work
• Have scoped and delivered complex systems in fast-moving or ambiguous environments
• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
• 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
• Model calm and judgment when the stakes are high