AI Deployment Engineer, Codex | Sydney

About the Role

The Codex Deployment Engineering team is a trusted technical partner to Openai's customers, guiding them through the adoption of Codex throughout their software development lifecycle. The team works side-by-side with customers to accelerate how they plan, build, and deliver software. As an AI Deployment Engineer, you will be an integral part of this team, working closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization.

Openai's customers span digital-native companies to global enterprises, and as an AI Deployment Engineer, you will have the opportunity to work with a diverse range of companies. You will be expected to 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.

What You Will Do

• 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.
• Collaborate with the sales team to identify new business opportunities and develop strategic plans to pursue them.
• Stay up-to-date with the latest developments in AI and machine learning, and apply this knowledge to improve the company's products and services.

What We Are Looking For

• 8+ years of post-sales engineering or solutions architecture experience, working directly with customers.
• 2+ years of software engineering experience and a strong understanding of the software development life cycle.
• Experience with AI coding tools and a deep understanding of their applications and limitations.
• Excellent communication and interpersonal skills, with the ability to work effectively with customers, engineers, and other stakeholders.
• Strong problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions.
• Experience delivering large, high-impact workshops or technical training to engineering teams.
• A strong understanding of the technical and business implications of AI adoption, and the ability to communicate these effectively to customers.
• Experience with Excel and other productivity tools.
• A bachelor's degree in Computer Science, Engineering, or a related field.

Nice to Have

• Experience with cloud-based technologies and containerization.
• Knowledge of agile development methodologies and DevOps practices.
• Experience with machine learning and deep learning frameworks.
• Familiarity with Openai's products and services.
• A master's degree in Computer Science, Engineering, or a related field.

Benefits and Perks

• Competitive salary and bonus structure.
• Comprehensive health insurance package.
• Generous paid time off policy, including vacation, sick leave, and holidays.
• Flexible working hours and remote work options.
• Access to cutting-edge technologies and tools.
• Opportunities for professional development and career growth.
• Collaborative and dynamic work environment.
• Recognition and reward for outstanding performance.
• Employee wellness programs and mental health support.

• Tip: Make sure to highlight your experience with AI coding tools and your understanding of their applications and limitations in your resume and cover letter.
• Be prepared to provide specific examples of how you have used AI coding tools to solve complex technical problems in your previous roles.
• Familiarize yourself with Openai's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.
• Show enthusiasm and passion for AI and machine learning, and demonstrate your ability to learn and adapt quickly in a rapidly evolving field.
• Don't be afraid to ask questions during the interview process, and be prepared to discuss your thoughts on the future of AI and its potential applications.
• Consider creating a portfolio of your work, including examples of your coding projects and any relevant writing or presentations you have done.
• Be prepared to discuss your experience with Excel and other productivity tools, and how you have used them to drive business results in your previous roles.