At a Glance
- Tasks: Lead the deployment of Generative AI solutions and guide customers to success post-sale.
- Company: Join OpenAI, a pioneering AI research and deployment company dedicated to benefiting humanity.
- Benefits: Enjoy a hybrid work model, competitive salary, relocation assistance, and professional growth opportunities.
- Other info: Collaborative environment with a focus on innovation and diverse perspectives.
- Why this job: Make a real impact by helping enterprises harness the power of AI technologies.
- Qualifications: 5+ years in technical consulting or solutions architecture with strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
About the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post‑sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands‑on technical guidance and partnership.
About the role
We are looking for a solutions‑oriented technical leader to engage with customers post‑sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high‑value use cases, and guide projects from early prototyping through enterprise‑grade production deployments.
You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross‑functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.
This role is based in our London office. We use a hybrid work model (3 days per week in the office) and offer relocation assistance for new employees.
In this role, you will:
- Serve as the primary technical subject matter expert post‑sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
- Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest‑value GenAI applications in their roadmap.
- Accelerate customer time to value by providing architectural guidance, building hands‑on prototypes, and advising on best practices for scaling solutions in production.
- Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
- Contribute to open‑source resources and enterprise‑facing technical documentation to scale best practices across customers.
- Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
- Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types.
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 a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
- Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
- Possess hands‑on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
- Take end‑to‑end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.
- Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.
- Thrive in fast‑paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact.
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 Employment
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.
Policy and Compliance
For additional information, please see OpenAI’s affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws. We are committed to providing reasonable accommodations to applicants with disabilities.
Privacy and Contact
OpenAI Global Applicant Privacy Policy
AI Deployment Engineer, Large Enterprise employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a hybrid work model and a strong focus on employee growth, team members are empowered to take ownership of their projects while receiving hands-on support from leadership. The company values diverse perspectives and provides unique opportunities to engage with cutting-edge AI technologies, making it an ideal place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer, Large Enterprise
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Generative AI. This gives you a chance to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI deployment. Think about how you’d tackle real-world problems and be ready to share your thought process with interviewers.
✨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 genuinely interested in joining our team.
We think you need these skills to ace AI Deployment Engineer, Large Enterprise
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Generative AI and technical consulting. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:Since you'll be engaging with senior stakeholders, it's crucial to demonstrate your ability to explain complex concepts clearly. Use examples in your application that show how you've successfully communicated technical ideas to non-technical audiences.
Highlight Your Technical Expertise:We’re looking for someone with hands-on experience in languages like Python or JavaScript. Be sure to mention any relevant projects or prototypes you've built, as this will help us see your practical skills in action.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. This way, we can easily track your application and get back to you faster!
How to prepare for a job interview at OpenAI
✨Know Your Tech Inside Out
As an AI Deployment Engineer, you'll need to be well-versed in Generative AI technologies and their applications. Brush up on OpenAI's tools, APIs, and any relevant programming languages like Python or JavaScript. Be ready to discuss how you've used these technologies in past projects.
✨Understand the Customer's Needs
Since this role involves engaging with customers post-sale, it's crucial to demonstrate your ability to identify and prioritise their needs. Research potential clients and think about how you can help them realise value from their AI investments. Prepare examples of how you've successfully guided similar projects.
✨Showcase Your Communication Skills
You'll be interacting with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of scenarios where you've had to bridge the gap between tech and business, and be ready to share those experiences during the interview.
✨Demonstrate a Collaborative Mindset
This role requires working cross-functionally with various teams. Highlight your experience in collaborative environments and how you've contributed to team success. Be prepared to discuss how you handle challenges and support your teammates, as this will resonate well with the company's culture.
