AI Deployment Engineer, Codex | Korea
WFA Digital Insight
The demand for skilled AI deployment engineers has skyrocketed, with a 25% increase in job openings in the past year alone. As companies like Openai continue to push the boundaries of AI technology, professionals with expertise in AI coding tools are in high demand. With the global AI market projected to reach
Job Description
About the Role
The AI Deployment Engineer role at Openai is a highly technical and strategic position that requires a deep understanding of AI coding tools and their applications in software development. As a trusted technical partner, you will work closely with customers to design, validate, and scale advanced AI workflows, leveraging Codex to drive innovation and efficiency. The Codex Deployment Engineering team is a critical component of Openai's success, and this role will play a key part in shaping the company's product direction and customer success.The role is based in Seoul, South Korea, and will involve collaborating with cross-functional teams, including Sales, Solutions Engineering, Product, and Applied Engineering. You will serve as a primary technical subject matter expert on OpenAI Codex, embedding deeply with customers 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.
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.
- Proficiency in Excel and experience with AI coding tools.
- Experience delivering large, high-impact workshops or technical training to engineering teams.
- Strong understanding of cloud-based technologies and their applications in software development.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts in clear, persuasive written and verbal form.
Nice to Have
- Experience with machine learning algorithms and data structures.
- Knowledge of DevOps practices and tools, such as Docker and Kubernetes.
- Familiarity with Agile development methodologies and version control systems, such as Git.
Benefits and Perks
- Competitive salary and benefits package.
- Opportunity to work with a leading AI technology company.
- Collaborative and dynamic work environment.
- Professional development opportunities, including training and education programs.
- Flexible work arrangements, including remote work options.
How to Stand Out
- Be prepared to showcase your technical expertise and experience with AI coding tools, particularly Codex.
- Develop a strong understanding of the software development life cycle and cloud-based technologies.
- Create a portfolio of your work, including examples of demos, reference implementations, and workflow automations.
- Practice articulating complex technical concepts in clear, persuasive written and verbal form.
- Research Openai's company culture and values to understand their approach to innovation and customer success.
- Prepare to discuss your experience with machine learning algorithms, data structures, and DevOps practices.
- Be ready to provide examples of your experience with Agile development methodologies and version control systems.
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