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. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. In this role, you will: - 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. - Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. - Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption. You’ll thrive in this role if you: - Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers. - Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive. - Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process. - Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven. - Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact. - Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI. - Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers. - Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent wi

5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers. Active power user of AI coding tools with deeply customized developer workflow. Experience delivering large, high-impact workshops or technical training to engineering teams. Experience contributing technical guides, patterns, or examples publicly. Strong written and verbal communication for delivering complex technical concepts and guiding customers on strategic adoption.

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers and embed with them to enable their engineering teams. Design and implement AI-enhanced development workflows from rapid prototyping to scalable production rollout. Build high-quality demos, reference implementations, and workflow automations using Codex. Lead workshops, deep dives, and enablement sessions to help engineering organizations adopt AI coding tools safely and effectively. Contribute technical content to the OpenAI Cookbook. Gather product insights from customer deployments and translate them into proposals and model feedback. Influence customer strategy by framing how AI coding tools fit into SDLC, technical roadmaps, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.