At a Glance
- Tasks: Design and implement AI-enhanced development workflows using OpenAI Codex.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, flexible working hours, 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.
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.
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.
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.
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.
AI Deployment Engineer | Codex employer: Slope
Contact Detail:
Slope Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Deployment Engineer | Codex
✨Tip Number 1
Get to know the company inside out! Research OpenAI's projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI coding tools knowledge. Be ready to discuss how you've used them in past projects and how they can enhance developer productivity—this is key for the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the 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 take this extra step.
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, especially when discussing complex technical concepts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Slope
✨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 be ready to discuss how you've used it in your own projects. Prepare examples of how Codex has enhanced your workflow or solved specific problems.
✨Showcase Your Technical Consulting Skills
This role requires strong technical consulting experience. Be prepared to share stories from your past roles where you successfully partnered with customers. Highlight how you’ve influenced their strategies and decisions, especially regarding AI coding tools.
✨Prepare Engaging Workshop Ideas
Since leading workshops is part of the job, think about how you would structure a session to engage engineering teams. Bring ideas for hands-on activities that demonstrate the value of AI coding tools, and be ready to discuss how you would measure the success of these sessions.
✨Communicate Clearly and Persuasively
You’ll need to explain complex concepts simply. Practice articulating your thoughts on AI coding tools and their impact on software development. Use clear examples and be ready to answer questions that show your depth of understanding and ability to communicate effectively.