At a Glance
- Tasks: Lead AI adoption and create innovative solutions to enhance business practices.
- Company: Join Capgemini, a global leader in AI-powered transformation.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for growth.
- Other info: Be part of a diverse team committed to sustainability and innovation.
- Why this job: Shape the future with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in AI solutions and strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
AI & Agentic Opportunity Identification: Identify where AI and agentic solutions can be applied across our working practices to reduce manual effort and repetitive, low-value tasks.
AI-Enabled Portfolio Development: Embrace and shape the latest AI and agentic developments within our portfolio, ensuring they are embedded in the solutions and services we deliver to clients.
Insight-Led Solutioning: Lead the integration of AI-enabled capability into new and existing solutions, working collaboratively with clients to shape and incubate opportunities and respond to RFIs, RFPs and similar procurement frameworks.
Value & Benefits Realisation: Define and track the benefits and value outcomes of AI adoption, ensuring anticipated gains in efficiency, cost and quality are realised for both Capgemini and our clients.
Client-Centric Vision: Clearly articulate a client-centric, AI-enabled vision using storytelling and advanced presentation skills.
Business Communication: Demonstrate concise and business-focused written communication and general writing skills, translating complex AI concepts into compelling, accessible narratives.
Competitive & Cost Analysis: Understand competitive pressures on price and identify how AI and automation can act as cost levers to deliver the most cost-effective and competitive solutions.
Internal Priorities: Understand and address internal priorities and governance, including the responsible and ethical use of AI, across the Cloud Infrastructure Services portfolio.
Requirements Analysis: Undertake requirements analysis and translation to understand where AI platforms and agentic technology can address service components, standard service offerings, and potential gaps.
Leadership: Lead cross-functional teams collaboratively across cloud, infrastructure, end user services, enterprise service management and cyber security to achieve shared outcomes, and execute external and internal stakeholder management and communication.
Commercial Understanding: Possess detailed commercial understanding, including risks, terms and conditions (T&Cs) and service schedules, as well as contractual drafting relevant to AI-enabled services.
Financial Analysis: Conduct detailed price and cost analysis, including internal business case creation for AI and automation investment.
Coaching and Mentoring: Undertake coaching, mentoring and people management of colleagues to build AI literacy, skills and capabilities across the Solutions Team.
Break Boundaries: Whilst demonstrating mastery of AI platforms and agentic technology, you will possess a broad understanding of the wider cloud and infrastructure portfolio to deliver holistic solutions to our clients.
Your Skills and Experience:
- AI Solution Leadership: Ability to lead the adoption of AI and agentic solutions across different business units, including internal stakeholder management.
- AI Platform Expertise: Extensive, current knowledge of AI platforms and technology, including generative AI, agentic frameworks, and automation and orchestration tools, and how they can be applied to working practices.
- Solution Deliverability: Work with internal delivery teams to design and articulate AI-enabled solutions that are deliverable once signed.
- Creativity: Think creatively to craft AI-enabled solutions that meet customer requirements and differentiate from competitors.
- Portfolio Awareness: Apply the company’s Cloud Infrastructure Services portfolio and latest AI developments to solutions, making it real and demonstrating our capability to deliver.
- Emerging Technologies: Stay aware of the latest developments in AI, agentic technology and automation, and bring insights and future benefits to new solutions.
- Responsible AI: Understand the ethical, governance and risk considerations of deploying AI and agentic solutions, both internally and for clients.
- Environmental Impact: Consider the environmental impact and sustainability of AI-enabled proposals.
- Solution Pricing Strategy: Drive the solution pricing to a winning position, understanding how AI and automation can be used as cost levers.
- Client Business Case: Create and communicate client business cases and benefits realisation for AI adoption, including financial analytics and modelling.
- External Stakeholder Management: Manage external stakeholders and develop client intimacy through site visits, industry days, and client presentations.
- Contract Management: Drive contract closure and transition from sales to delivery, including early life support and hyper-care phases.
- Proven Experience: Demonstrated experience applying AI, agentic or automation technology within solution architecture, delivery or a related role.
- Strong Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex AI concepts to non-technical audiences.
- Leadership Abilities: Proven ability to lead cross-functional teams and manage stakeholders.
- Commercial Acumen: Strong understanding of commercial terms, conditions, and service schedules.
- Analytical Skills: Proficiency in price and cost analysis, financial modelling, and business case creation.
- Creative Thinking: Ability to think creatively and innovate AI-led solutions.
- Technical Knowledge: Deep awareness of AI platforms, agentic technology and automation, alongside cloud, infrastructure, service management and cyber security.
We are a Disability Confident Employer. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.
Your Security Clearance and Pre-employment Checks: To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
Why Should You 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 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.
AI Adoption and Solutions Lead 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 Adoption and Solutions Lead
✨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 Adoption and Solutions Lead
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.