At a Glance
- Tasks: Transform businesses with Generative AI applications and guide projects from prototype to production.
- Company: Join OpenAI, a leader in AI research and deployment, dedicated to benefiting humanity.
- Benefits: Enjoy a hybrid work model, relocation assistance, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and diverse perspectives.
- Why this job: Make a real impact by helping customers realise the value of cutting-edge AI technologies.
- Qualifications: 5+ years in technical consulting or solutions architecture, with strong communication skills.
The predicted salary is between 70000 - 90000 £ 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.
As an AI Deployment Engineer you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance.
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.
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.
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, Large Enterprise in London 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 commitment to employee growth, we provide opportunities for technical leaders to engage deeply with customers, driving meaningful AI solutions while enjoying relocation assistance and a culture that values diverse perspectives. Join us to be part of a mission-driven team dedicated to ensuring that AI benefits all of humanity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer, Large Enterprise in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your experience with Generative AI. Whether it's prototypes or case studies, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and how they use AI. Tailor your responses to show how your skills can help them achieve their goals. We want to see you shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace AI Deployment Engineer, Large Enterprise in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Deployment Engineer role. Highlight your experience with Generative AI and how it aligns with our mission at StudySmarter. We want to see how you can bring value to our team!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with languages like Python or JavaScript, and any complex deployments you've led. We love seeing candidates who can demonstrate their problem-solving skills in real-world scenarios.
Communicate Clearly:Remember, we’re looking for strong communicators! When writing your application, make sure to explain your technical and business concepts clearly. This will show us that you can engage effectively with both technical teams and senior stakeholders.
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. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at OpenAI
✨Know Your Tech Inside Out
As an AI Deployment Engineer, you'll need to demonstrate your technical expertise. Brush up on your knowledge of Generative AI, OpenAI APIs, and relevant programming languages like Python or JavaScript. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Understand the Customer's Needs
Before the interview, research the company and its industry. Think about how you can help them realise tangible business value from their AI investments. Prepare examples of how you've previously engaged with customers to identify high-value use cases and drive successful deployments.
✨Showcase Your Communication Skills
You'll be working with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Prepare to share experiences where you've effectively communicated with senior leaders or technical teams, ensuring everyone is aligned on project goals.
✨Demonstrate a Collaborative Mindset
This role requires a humble and collaborative approach. Be prepared to discuss how you've worked cross-functionally in the past, whether with sales, engineering, or product teams. Highlight your eagerness to support teammates and share knowledge to drive collective success.
