Forward Deployed Engineer, Gov

About the team

The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.

About the role

Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.

You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap.

This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.

In this role you will

• Own technical delivery across multiple government deployments, from first prototype to stable production.

• Deeply embed with public sector customers to design and build novel applications powered by OpenAI models.

• Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.

• Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.

• Proactively guide customers on maximizing business and operational value from their applications.

• Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.

• Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality.

• Contribute directly in the code when clarity or momentum depends on it.

• Codify working patterns into tools, playbooks, or building blocks others can use.

• Share field feedback with Research and Product to influence model and product development.

• Keep teams moving through clarity, judgment, and consistent follow-through.

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.

• Active TS/SCI clearance or equivalent

• Have scoped and delivered complex systems in fast-moving or ambiguous contexts.

• Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.

• Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.

• Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience.

• Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.

• Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.

• Are humble, collaborative, and eager to help others with empathy.

• Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.