At a Glance
- Tasks: Lead AI initiatives and drive complex deployments from planning to launch.
- Company: Join a leading AI company transforming how organisations operate.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to innovate and shape the future of AI.
- Why this job: Make a real impact by delivering cutting-edge AI solutions to top clients.
- Qualifications: 7+ years in tech deployments and strong communication skills required.
The predicted salary is between 90000 - 110000 £ per year.
About the Role
OpenAI’s largest and most strategic customers are turning AI ambition into deployments that change how their organizations work. As a Delivery Lead, you will own delivery of priority AI initiatives for these customers, leading complex, high-impact deployments from planning through launch and adoption. You’ll establish an integrated delivery plan, drive execution against launch commitments, resolve blockers, and lead progress toward measurable customer value. You’ll partner closely with account and technical teams, FDEs, customers, and delivery partners to turn customer priorities into successful deployments. You’ll bring a clear view of delivery progress, risks, and expected outcomes, helping teams make informed decisions and connecting successful execution to consumption and growth. This is a senior, customer-facing role for someone who can move between executive conversations and practical details that determine whether a deployment succeeds. You bring technical fluency, sound judgment, and the ability to create clarity and drive action in complex, evolving environments.
What You’ll Do
- Own delivery of priority AI initiatives.
- Lead complex customer engagements from scoping and planning through deployment, launch, and initial adoption.
- Build and drive an integrated delivery plan.
- Establish clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams.
- Resolve blockers and drive decisions.
- Identify risks early, work through dependencies and resource constraints, and bring the right stakeholders together to resolve tradeoffs and keep delivery moving.
- Lead launch readiness and activation.
- Drive rollout and enablement planning, address technical and organizational readiness gaps, and remove barriers to initial adoption and usage.
- Connect delivery to customer value.
- Define expected outcomes and measurement approaches with customers and account teams.
- Track adoption and consumption, assess results against agreed baselines, and communicate the value achieved.
- Provide a clear view of delivery health.
- Lead customer and internal delivery reviews that drive decisions and action.
- Communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing.
- Improve how we deliver.
- Turn customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams.
What We’re Looking For
- 7+ years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners.
- A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes.
- Strong technical aptitude, with the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks.
- The ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures.
- Strong judgment under ambiguity, including the ability to identify material risks, navigate competing priorities, and drive timely decisions.
- Experience building trust with customers and leading across teams outside your reporting line while holding stakeholders accountable to shared commitments.
- Excellent communication skills, with the ability to engage executives, technical specialists, and customer operators and explain complex delivery issues clearly.
- Commercial awareness and an understanding of how deployment, adoption, and consumption contribute to customer value and growth.
- A practical approach to building repeatable delivery methods while adapting to the needs of individual.
Applied Ai Delivery Lead - London employer: OpenAI, Inc.
OpenAI is an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. With a strong emphasis on employee growth, we provide ample opportunities for professional development and hands-on execution in a hybrid model that promotes work-life balance. Our culture encourages creativity and strategic thinking, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Ai Delivery Lead - 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 OpenAI, Inc. 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
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We think you need these skills to ace Applied Ai Delivery Lead - 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 OpenAI, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at OpenAI, Inc. 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 OpenAI, Inc.
✨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 OpenAI, Inc. 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.
