At a Glance
- Tasks: Lead a team to drive AI solutions for major clients across Northern Europe.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Hybrid work model, relocation assistance, and a focus on professional growth.
- Other info: Collaborative culture with opportunities for continuous learning and development.
- Why this job: Shape the future of AI while making a real impact on businesses.
- Qualifications: 10+ years in technical roles and 4+ years managing teams.
The predicted salary is between 72000 - 88000 £ per year.
About the Team
The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams.
About the Role
As the Manager of Applied AI Architects in London, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across the North EMEA region. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth.
You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision‑making, architectural depth, and hands‑on coaching.
This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Hire, coach, and develop a high‑performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship.
- Define and continuously refine the strategy and operating model for Applied AI Architecture across Europe, aligning company priorities with the evolving needs of strategic customers and the regional go‑to‑market.
- Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements.
- Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities.
- Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use‑case qualification, solution evaluation, enterprise governance, and a credible path to production.
- Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment.
- Build trusted relationships with C‑suite and board‑level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed.
- Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience.
- Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth.
- Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go‑to‑market teams, while developing reusable architecture guidance and customer practices.
- Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs.
You might thrive in this role if you:
- Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment.
- Bring 10+ years of experience in customer‑facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises.
- Have 4+ years of people‑management experience hiring, coaching, and developing high‑performing customer‑facing technical teams.
- Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact.
- Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands‑on engineers.
- Can lead a complex portfolio, make thoughtful resource‑allocation decisions, and balance regional strategy with hands‑on support for critical customer engagements.
- Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, and how to define clear handoffs and ownership.
- Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems.
- Are comfortable leading across Northern Europe and partnering across European markets from London, adapting your approach to different industries, cultures, regulatory contexts, and customer operating models.
- Embody a customer‑centric philosophy focused on durable value, responsible production adoption, technical excellence, and long‑term partnership.
- Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI.
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.
Manager, Applied AI Architects employer: FDE Times
Databricks is an exceptional employer that fosters a dynamic work culture centred around innovation and collaboration. With a strong emphasis on employee growth, you will have access to cutting-edge technology and opportunities to lead impactful projects in the data and AI space. Located in a vibrant tech hub, our team enjoys a supportive environment that encourages creativity and professional development, making it a truly rewarding place to advance your career.
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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 FDE Times.
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How to prepare for a job interview at FDE Times
✨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.
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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 FDE Times uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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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.