AI Deployment Engineer, Codex | India

OpenAI OpenAI · AI Frontier · Delhi, India · Go To Market

AI Deployment Engineer focused on helping customers adopt OpenAI's coding tools (Codex) by acting as a technical partner. The role involves designing, validating, and scaling AI workflows, building demos and integrations, leading workshops, and gathering customer feedback to influence product direction. It requires deep technical expertise in AI coding tools and the software development lifecycle, with a strong emphasis on customer-facing post-sales engineering and solutions architecture.

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

  • post-sales engineering
  • solutions architecture
  • software engineering
  • software development lifecycle
  • AI coding tools
  • technical architecture
  • customer enablement
  • workshop facilitation
  • technical content creation
  • communication

Nice to have

  • prototyping
  • building demos
  • integrations
  • automations

What the JD emphasized

  • 8+ years of post-sales engineering or solutions architecture, working directly with customers
  • 2+ years of software engineering experience
  • active power user of AI coding tools
  • deeply customized your own developer workflow

Other signals

  • customer adoption
  • AI coding tools
  • developer productivity
  • software development lifecycle
  • technical architecture
  • product strategy
  • customer-facing leadership
  • prototyping
  • demos
  • integrations
  • automations