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Capgemini

Global consulting, technology services, outsourcing

AI Adoption and Solutions Lead

Pre-Sales Solution EngineeringUpdated on Nov 14
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Demonstrated experience applying AI, agentic, or automation technology within solution architecture, delivery, or a related role.
  • Extensive, current knowledge of AI platforms and technology, including generative AI, agentic frameworks, automation, and orchestration tools, and how they can be applied to working practices.
  • Understand the company’s Cloud Infrastructure Services portfolio and latest AI developments, and apply them to solutions while demonstrating delivery capability.
  • Understand ethical, governance, and risk considerations for deploying AI and agentic solutions internally and for clients.
  • Consider the environmental impact and sustainability of AI-enabled proposals.
  • Understand how AI and automation can be used as cost levers and drive solution pricing to a winning position.
  • Create and communicate client business cases and benefits realisation for AI adoption, including financial analytics and modelling.
  • Manage external stakeholders and develop client intimacy through site visits, industry days, and client presentations.
  • Drive contract closure and transition from sales to delivery, including early life support and hyper-care phases.
  • Explain complex AI concepts to non-technical audiences through strong verbal and written communication.
  • Lead cross-functional teams and manage stakeholders.
  • Understand commercial terms, conditions, and service schedules.
  • Perform price and cost analysis, financial modelling, and business case creation.
  • Maintain deep awareness of AI platforms, agentic technology, and automation, alongside cloud, infrastructure, service management, and cyber security.

Responsibilities

  • Identify where AI and agentic solutions can reduce manual effort and repetitive, low-value tasks across working practices.
  • Shape the latest AI and agentic developments within the portfolio and ensure they are embedded in solutions and services delivered to clients.
  • Lead the integration of AI-enabled capability into new and existing solutions, collaborate with clients to shape and incubate opportunities, and respond to requests for information, requests for proposals, and similar procurement frameworks.
  • Define and track the benefits and value outcomes of AI adoption, ensuring anticipated gains in efficiency, cost, and quality are realised for the company and its clients.
  • Articulate a client-centric, AI-enabled vision using storytelling and presentation skills.
  • Translate complex AI concepts into compelling, accessible narratives through concise, business-focused written communication.
  • Understand competitive pricing pressures and identify how AI and automation can act as cost levers to deliver cost-effective, competitive solutions.
  • Address internal priorities and governance, including responsible and ethical AI use, across the Cloud Infrastructure Services portfolio.
  • Analyze and translate requirements to identify where AI platforms and agentic technology can address service components, standard service offerings, and potential gaps.
  • Lead cross-functional teams across cloud, infrastructure, end user services, enterprise service management, and cyber security to achieve shared outcomes; manage internal and external stakeholders and communications.
  • Apply commercial understanding, including risks, terms and conditions, service schedules, and contractual drafting relevant to AI-enabled services.
  • Conduct price and cost analysis, including internal business case creation for AI and automation investment.
  • Coach and mentor colleagues and undertake people management to build AI literacy, skills, and capabilities across the Solutions Team.
  • Apply expertise in AI platforms and agentic technology alongside broad understanding of the cloud and infrastructure portfolio to deliver holistic client solutions.
  • Work with internal delivery teams to design and articulate AI-enabled solutions that can be delivered once signed.
  • Create AI-enabled solutions that meet customer requirements and differentiate from competitors.
  • Stay aware of developments in AI, agentic technology, and automation, and bring insights and future benefits to new solutions.
  • Drive solution pricing using AI and automation as cost levers.
  • Consider environmental impact and sustainability when developing AI-enabled proposals.
  • Conduct client site visits, attend industry days, and present to clients.
  • Manage contract closure and transition solutions from sales to delivery, including early life support and hyper-care phases.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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