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AI Deployment Engineer, Gov

Job in Washington, District of Columbia, 20022, USA
Listing for: OpenAI
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer (ADE) in the OpenAI for Government team, you’ll help government agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology.

About

the Role

We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production.

You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams.

This role is based in Washington, DC. We offer relocation support to new employees.

In this role, you will:

Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI products.

Work with senior customer stakeholders to identify the best applications of AI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.

Intervene directly to accelerate customer time to value through building hands‑on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners.

Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications.

Contribute to our open‑source developer and enterprise resources.

Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.

Validate, synthesize, and deliver high‑signal feedback to the Product, Engineering, and Research teams.

You’ll thrive in this role if you:

Bring 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal civilian preferred), bridging technical teams and senior stakeholders.

Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners.

Are an effective and polished communicator who can translate business and technical topics to all audiences.

Own problems end‑to‑end and are willing to pick up whatever knowledge you’re missing to get the job done.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Requests can be made via this link.

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