AI Growth Leader

Capgemini • Chicago, ND

4d • $165,520 - $265,200

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. The role works with clients and Capgemini’s strategic AI and hyperscaler partners to translate AI opportunities into scalable, production-ready solutions. Success is defined by delivering measurable business outcomes, expanding AI adoption, and growing Capgemini’s AI footprint within strategic clients. As a newly established role, the AI Growth Leader will also help shape and mature Capgemini’s approach to AI-led client transformation and growth.

Requirements

• 10+ years of experience in technology consulting, AI, data, or technology services, with demonstrated credibility advising and influencing senior executive stakeholders.
• Ability to operate across executive advisory and hands-on delivery, from strategic discussions and operating-model decisions to technical solutioning and engineering working sessions.
• Track record of 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.
• Architecture expertise across at least one major cloud platform and enterprise data ecosystem, with practical knowledge of AI security, governance, scalability, and cost management.
• Deep industry knowledge in at least one sector such as Consumer Products & Retail, Financial Services, Telecom & Media, Energy & Utilities, Life Sciences, or Aerospace & Manufacturing, including understanding of industry 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 based on 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, developing a point of view on where AI can create business value and shaping it into a prioritized opportunity roadmap.
• Lead discovery with business and technology leaders; analyze client operations and data landscapes; identify value opportunities and barriers; and frame problems for business and technical audiences.
• Design solution architectures that meet enterprise requirements for security, data governance, integration, scalability, and cost, and guide delivery teams through production.
• Personally 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, grounding estimates and delivery plans in direct build experience.
• Turn proven work into reusable accelerators, demonstrations, and industry plays for the Center of Excellence and Capgemini’s global industry teams.
• Engage hyperscaler and AI model partners, and Capgemini specialists in data, cloud, and industry, when they strengthen a solution.

Benefits

• Paid time off based on employee grade, including 12–25 vacation days depending on grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

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