At a Glance
- Tasks: Lead the deployment of Generative AI solutions and guide customers to success.
- Company: Join a pioneering tech company focused on AI innovation and customer partnership.
- Benefits: Enjoy a hybrid work model, relocation assistance, and competitive salary.
- Other info: Collaborative environment with opportunities for professional growth and learning.
- Why this job: Make a real impact by helping enterprises harness the power of AI technologies.
- Qualifications: 5+ years in technical consulting with strong communication and AI deployment 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.
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 organisations 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. We offer relocation assistance and a hybrid work model of three days per week in the office.
Responsibilities
- 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.
Qualifications
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.
Equal‑Opportunity Statement
OpenAI is an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, colour, 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: The Consulting Solutions
As an AI Deployment Engineer at OpenAI, you will join a dynamic team dedicated to driving the successful adoption of Generative AI technologies across various industries. Our collaborative work culture fosters innovation and personal growth, offering ample opportunities for professional development while working closely with senior leaders and technical teams. With a hybrid work model and relocation assistance, we ensure that our employees can thrive both personally and professionally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer, Large Enterprise in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at The Consulting Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to The Consulting Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like The Consulting Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like The Consulting Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Deployment Engineer, Large Enterprise in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at The Consulting Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Consulting Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at The Consulting Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If The Consulting Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
