AI Growth Leader

Capgemini • Chicago, NY

3d

About The Position

The AI Growth Leader is a senior, client-facing AI leadership role responsible for advancing the AI agenda across a strategic Capgemini account or portfolio of accounts within an industry in the Americas. The role leads the full AI lifecycle, from executive-level advisory and opportunity identification through solution architecture, hands-on development, production deployment, and measurable value realization. As part of the Americas AI Center of Excellence, the AI Growth Leader combines client advisory, solutioning, hands-on AI expertise, and commercial growth to translate AI opportunities into scalable, production-ready solutions with clients and Capgemini’s strategic AI and hyperscaler partners. Success is defined by delivering measurable business outcomes, expanding AI adoption, and growing Capgemini’s AI footprint within strategic clients. The role will also help shape and mature Capgemini’s approach to AI-led client transformation and growth.

The position involves advising senior client stakeholders, leading discovery and problem framing, designing enterprise-grade solution architectures, building prototypes and proofs of value, defining and tracking business outcomes, leading AI content for proposals and pursuits, and converting proven work into reusable assets and industry plays. The role collaborates with client teams, Capgemini specialists, and AI and hyperscaler partners. Travel to client locations is required as needed.

The posted base compensation range is $165,520–$265,200. Eligible regular, full-time employees may receive a benefits package that includes paid time off, holidays, personal days, sick leave, medical, dental and vision coverage (or provincial healthcare coordination in Canada), retirement savings plans, life and disability insurance, and employee assistance programs. The role may also be eligible for variable incentives, bonuses, or commissions.

Requirements

• 10+ years of experience in technology consulting, AI, data, or technology services.
• Demonstrated credibility advising and influencing senior executive stakeholders.
• Ability to work across executive advisory and hands-on delivery, from strategic discussions and operating-model decisions to technical solutioning and engineering working sessions.
• Track record shaping and delivering complex AI or data initiatives from opportunity identification through production, with measurable and documented business outcomes.
• Strong hands-on AI engineering expertise, including building generative AI solutions using large language models, retrieval/RAG, agent orchestration, tool use, evaluation frameworks, and Python or TypeScript.
• Strong architecture expertise across at least one major cloud platform and enterprise data ecosystem.
• Practical knowledge of AI security, governance, scalability, and cost management.
• Deep knowledge of at least one industry sector, including its value chains and business economics.
• Strong consulting and commercial skills, including structuring ambiguous problems, identifying and qualifying AI opportunities, estimating effort and delivery risk, prioritizing investments by client value, and communicating solutions in executive presentations and client discussions.
• Willingness to travel to client locations as required.

Responsibilities

• Act as a trusted AI advisor to senior client stakeholders and develop a point of view on where AI can create business value.
• Shape AI opportunities into a prioritized client roadmap.
• Lead discovery with business and technology leaders; analyze operations and data landscapes and frame business and technical problems.
• Design solution architectures that meet enterprise requirements for security, data governance, integration, scalability, and cost, and guide delivery teams through production.
• Build prototypes, agents, and proofs of value using frontier models together with client data and platforms.
• Define business cases and success metrics before development; track adoption and outcomes after go-live, report realized value, and determine what to scale, adjust, or stop.
• Lead AI content for proposals, oral presentations, and client workshops, with estimates and delivery plans grounded in direct build experience.
• Turn proven work into accelerators, demonstrations, and industry plays for the Center of Excellence and global industry teams.
• Engage hyperscaler and AI model partners and Capgemini data, cloud, and industry specialists where they strengthen solutions.
• Travel to client locations as required.

Benefits

• Paid time off, including vacation of 12–25 days depending on grade, company-paid holidays, personal days, and sick leave.
• Medical coverage (or provincial healthcare coordination in Canada).
• Dental coverage.
• Vision coverage.
• Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
• Life insurance.
• Disability insurance.
• Employee assistance programs.
• May be eligible for variable incentives, bonuses, or commissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed