AI Deployment Engineer- Codex
About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows.
What this role actually needs.
About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Responsibilities: - 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. - Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. - Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. - Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. - 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. - Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the AI Deployment Engineer- Codex role.
- 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.
- Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
- Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
- Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
- 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.
- Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: ca7e4019-bf93-42fd-8f15-fac59c6e237c · Confidence: 97/100 · Last checked: May 7, 2026
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