AI Deployment Engineer- Codex

OpenAI OpenAI · AI Frontier · San Francisco, CA · Go To Market

This role focuses on helping customers adopt OpenAI's coding tools (Codex) by acting as a technical partner, guiding engineering teams in integrating Codex into their projects and workflows. The engineer will design, validate, and scale AI workflows, build demos and integrations, lead workshops, and contribute technical content. The role blends technical architecture, product strategy, and customer-facing leadership, aiming to accelerate the deployment of intelligent coding systems.

What you'd actually do

  1. Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
  2. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
  3. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
  4. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
  5. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Skills

Required

  • 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
  • Active power user of AI coding tools
  • Experience delivering large, high-impact workshops or technical training to engineering teams
  • Experience contributing technical guides, patterns, or examples publicly
  • Ability to communicate complex technical concepts in clear, persuasive written and verbal form
  • Experience working in ambiguous, rapidly evolving problem spaces
  • Customer success, reliability, safety, and operational excellence

Nice to have

  • Deeply customized your own developer workflow
  • Have a point of view on what makes engineers more productive
  • Enjoy building scrappy, high-signal demos, integrations, and prototypes
  • Know how to craft sessions that are engaging, hands-on, and outcomes-driven
  • Care about clarity, pedagogy, and community impact
  • Excited by ambiguous, rapidly evolving problem spaces
  • Enjoy iterating toward novel solutions hand-in-hand with customers

What the JD emphasized

  • power user of AI coding tools
  • deeply customized your own developer workflow
  • build scrappy, high-signal demos, integrations, and prototypes
  • using Codex to accelerate your own development process
  • contributed technical guides, patterns, or examples publicly

Other signals

  • customer adoption
  • AI workflows
  • developer productivity
  • technical architecture
  • product strategy
  • customer-facing leadership
  • intelligent coding systems