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OpenAI

AI Deployment Engineer, Global Affairs

New York City (Remote)$198k–$280kfulltimemidAdded today

About this role

OpenAI seeks an AI Deployment Engineer to partner with government agencies, nonprofits, and public sector organizations, helping them adopt and scale GenAI solutions responsibly. You'll serve as a technical advisor guiding partners from discovery through production deployment while translating complex AI concepts for non-technical stakeholders.

What you'll do

  • Advise public sector partners on identifying and deploying high-impact AI use cases from pilot to production
  • Design prototypes and proof-of-concepts tailored to government and nonprofit missions
  • Conduct workshops, office hours, and implementation sessions with external stakeholders
  • Develop deployment playbooks, educational content, and reusable best practice resources
  • Gather stakeholder feedback and represent partner needs to internal OpenAI product teams
  • Manage relationships with government and nonprofit leadership to ensure successful application scaling

What they're looking for

  • Python and JavaScript programming
  • Technical consulting and advisory experience
  • API platform prototyping and development
  • Complex project and stakeholder management
  • Technical communication for non-technical audiences
  • GenAI and LLM application knowledge
  • Problem-solving and end-to-end ownership
  • Ability to navigate ambiguity and context-switching
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Can you describe a time you led a complex technical project with multiple stakeholders and how you managed competing priorities?
  • Walk us through an example of a prototype or API-based solution you built—what was the business problem and how did you measure success?
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