AI Deployment Engineer | Codex

OpenAI OpenAI · AI Frontier · London, United Kingdom · Go To Market

AI Deployment Engineer focused on helping customers adopt OpenAI's coding tools (Codex) by designing, implementing, and scaling AI-enhanced development workflows. This role involves acting as a technical partner, building demos and integrations, leading workshops, and gathering customer feedback to influence product direction.

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

  • technical consulting
  • post-sales engineering
  • solutions architecture
  • customer-facing experience
  • AI coding tools
  • developer workflow customization
  • building demos and prototypes
  • technical training and workshops
  • technical content creation
  • communicating complex technical concepts
  • customer success
  • reliability
  • safety
  • operational excellence

Nice to have

  • Codex

What the JD emphasized

  • 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
  • active power user of AI coding tools
  • deeply customized your own developer workflow
  • building scrappy, high-signal demos, integrations, and prototypes
  • delivering large, high-impact workshops or technical training to engineering teams

Other signals

  • customer adoption
  • AI workflows
  • developer productivity
  • intelligent coding systems