openai - Applied AI Engineer, Codex

• 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. • Ability to speak Mandarin is a requirement as you will be working with Mandarin-speaking customers and/or vendors in the role. • 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.