At a Glance
- Tasks: Lead AI transformation initiatives and develop innovative AI solutions for global clients.
- Company: Capgemini, a diverse and inclusive tech leader driving AI-led enterprise transformation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a thriving community of innovators and gain valuable experiences.
- Why this job: Shape the future of AI while making a real impact in a collaborative team.
- Qualifications: Bachelor’s degree in relevant field and strong understanding of AI/ML concepts.
The predicted salary is between 81000 - 99000 £ per year.
This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community.
Please do not contact the recruiter directly.
About the job you are considering
Capgemini's Global Insights & Data business is accelerating the next generation of AI-led enterprise transformation.
As organizations move beyond AI experimentation into scaled adoption, we are seeking an AI Growth Lead to shape, lead, and grow our global AI transformation capabilities.
This is a high-impact leadership role that combines strategic vision, technology leadership, enterprise transformation expertise, and hands-on AI innovation.
You will be responsible for defining and scaling Capgemini's AI solutions portfolio, leading global client engagements, driving Cloud-First and AI-First transformation strategies, and helping enterprises embed AI into their operating models, workforce, and business processes.
You will act as a trusted advisor to C-level executives, industry leaders, hyperscaler partners, and internal stakeholders, shaping how organizations leverage Agentic AI, Generative AI, Cloud Platforms, and intelligent automation to unlock measurable business value.
The places that you work from day to day will vary according to your role, your needs, and those of the business.
It will be a blend of Company offices, client sites, and your home.
Your Role
- AI Strategy & Business Transformation
- Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.
- Translate business challenges into scalable AI solution roadmaps and implementation plans.
- Drive AI innovation and support enterprise-wide digital transformation initiatives.
- Develop business cases, success metrics, and value realization frameworks for AI investments.
- Solution Architecture & Delivery
- Lead end-to-end AI solution design, development, deployment, and adoption.
- Define solution architecture leveraging machine learning, Gen AI, Copilot, automation, cloud, and data platforms.
- Ensure solutions align with enterprise architecture, security, compliance, and governance standards.
- Oversee proof-of-concepts, pilots, and production deployments.
- AI Governance & Responsible AI
- Promote responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.
- Establish AI governance frameworks, standards, and best practices.
- Ensure ethical and compliant use of enterprise and customer data.
- Leadership & Team Development
- Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.
- Mentor team members and foster a culture of innovation, collaboration, and continuous learning.
- Drive AI capability development and organizational readiness.
- Your Skills and Experience
- Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.
- Strong understanding of AI/ML concepts, Large Language Models (LLMs), Gen AI platforms, and intelligent automation technologies.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Strong problem-solving, analytical, and strategic thinking skills.
- AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).
- Key Competencies
- AI Strategy & Vision, articulation abilities
- Solution Architecture, solutioning approach, client communication
- Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise
- Business Transformation, Stakeholder Management, Executive Communication
- Data & Analytics, Responsible AI Governance
- Leadership & Team Development
- Success Measures
- Delivery of measurable business value from AI initiatives.
- Increased AI adoption and user engagement across the client’s organization.
- Successful deployment of scalable, secure, and compliant AI solutions.
- Why you should consider Capgemini
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask.
When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts.
We find new ways technology can help us reimagine what’s possible.
It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.
By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want.
You’ll use your skills to help our clients leverage technology to innovate and grow their business.
So, it might not always be easy, but making the world a better place rarely is.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
We imagine the future of organisations and make it real with AI, technology and people.
With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries.
We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
The Group reported 2025 global revenues of €22.5 billion.
Make it real | www. capgemini. com
AI Growth Lead in Surrey employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land AI Growth Lead in Surrey
✨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 Capgemini 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 Capgemini.
✨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 Capgemini.
✨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 Capgemini 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 Growth Lead in Surrey
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 Capgemini.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capgemini 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 Capgemini
✨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 Capgemini 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.
