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OpenAI

Ai Deployment Engineer Codex Or Sydney Sydney Australia

Classified Tasks (13)

Automate 0%Augment 54%Human-Only 46%

Augment (7)

AI assists, human decides

Partner directly with customers to design and implement AI-enhanced development workflows from rapid prototyping through scalable production rollout.

technical

Design, validate, and scale advanced AI workflows in collaboration with engineering leaders and hands-on builders.

technical

Build high-quality demos, reference implementations, integrations, and workflow automations using Codex as part of the development process.

technical

Contribute technical content—examples, guides, patterns, and best practices—to the OpenAI Cookbook and other developer resources.

communication

Gather high-fidelity product insights from real customer deployments and translate them into product proposals and model feedback for internal teams.

analytical

Guide engineering teams to integrate Codex into their projects, workflows, demos, and production systems.

technical

Collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and broader Codex teams to advocate for customer needs, shape product direction, and accelerate deployments.

communication

Human-Only (6)

Requires human judgment

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers and embed with their teams to enable engineering adoption.

leadership

Lead large-format workshops, technical deep dives, and hands-on enablement sessions to drive effective and safe adoption of AI coding tools.

communication

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

leadership

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

leadership

Help customers adopt OpenAI's coding tools throughout their software development lifecycle.

operational

Accelerate customer software planning, building, and delivery by working side-by-side with their engineering teams.

operational

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-deployment-engineer-codex-or-sydney-sydney-australia/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)AI Deployment Engineer, Codex | Sydney | OpenAICareersAI Deployment Engineer, Codex | SydneyTechnical Success - Sydney, AustraliaApply now(opens in a new window)About the teamThe 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 RoleWe 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.This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn 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 8+ years of post-sales engineering or solutions architecture, working directly with customers.Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.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.
Source: OpenAI careers · scraped 2026-05-22
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