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# AI Growth Lead

- **Company:** Capgemini
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Customer Data Management, Machine Learning, Software Deployment, Google Cloud, Large Language Models, Generative AI, Information Technology, Data Analytics, Data Management, Virtual Agents
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e0c2012f163e437f

## About the Role

* Bachelor's degree in computer science, Data Science, Engineering, Information Technology, or related field.
 * Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI 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

## Description

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, GenAI, 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., * 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.