At a Glance
- Tasks: Design and implement AI-enhanced development workflows with cutting-edge coding tools.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on customer success and innovative problem-solving.
- Why this job: Be at the forefront of AI technology and make a real impact on software development.
- Qualifications: 5+ years in technical consulting or solutions architecture; power user of AI coding tools.
The predicted salary is between 70000 - 90000 € per year.
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.
Equal Opportunity Statement
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.
Disability Accommodations
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
AI Deployment Engineer | Codex employer: OpenAI
OpenAI is an exceptional employer that fosters a culture of innovation and collaboration, particularly for the AI Deployment Engineer role. With a commitment to employee growth, you will have the opportunity to work alongside industry leaders, engage in meaningful projects that shape the future of AI, and contribute to a diverse and inclusive environment that values every voice. Located in a vibrant tech hub, OpenAI offers unique advantages such as access to cutting-edge resources and a community of forward-thinking professionals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer | Codex
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. The more you engage, the better your chances of landing that AI Deployment Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using AI coding tools. Demos, prototypes, and workflows you've built can really impress potential employers and show them what you're capable of.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and customer engagement skills. Be ready to discuss how you've helped teams adopt new technologies and share your insights on improving developer productivity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at OpenAI.
We think you need these skills to ace AI Deployment Engineer | Codex
Some tips for your application 🫡
Show Your Passion for AI Tools:Make sure to highlight your experience with AI coding tools in your application. We want to see how you've used these tools to enhance your own workflow and how you can bring that passion to our team.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the AI Deployment Engineer role. We love seeing candidates who understand what we do!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured content that communicates your ideas effectively. Remember, clarity is key when discussing complex technical concepts!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at OpenAI
✨Know Your Codex Inside Out
As an AI Deployment Engineer, you need to be a power user of Codex. Familiarise yourself with its features and capabilities, and think about how you've used it in your own projects. Be ready to discuss specific examples of how Codex has enhanced your workflow or solved problems.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during your interview. Brush up on your knowledge of AI coding tools and be prepared to explain complex concepts clearly. Practice articulating how these tools can fit into different software development lifecycles and improve productivity.
✨Showcase Your Workshop Skills
Since leading workshops is part of the role, think about past experiences where you've trained or enabled others. Prepare to share how you made those sessions engaging and outcomes-driven. Highlight any feedback you've received that demonstrates your effectiveness as a trainer.
✨Demonstrate Customer-Centric Thinking
This role is all about customer success, so be ready to discuss how you've previously influenced customer strategy or decision-making. Think of examples where you've acted as a trusted advisor, addressing their needs and concerns while advocating for best practices in AI deployment.
