Principal - AI Solution Architect

Capgemini • Chicago, ND

8d • $165,520 - $265,200

About The Position

The Client AI Champion 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 measured by business outcomes, expanded AI adoption, and growth of Capgemini’s AI footprint within strategic clients. This newly established role will also help shape and mature Capgemini’s approach to AI-led client transformation and growth.

Requirements

• 10 or more years of experience in technology consulting, AI, data, or technology services, with 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.
• Demonstrated 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 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, including practical knowledge of AI security, governance, scalability, and cost management.
• Deep knowledge of at least one industry sector, such as Consumer Products & Retail, Financial Services, Telecom & Media, Energy & Utilities, Life Sciences, or Aerospace & Manufacturing, 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 effectively.
• Willingness to travel to client locations as required.

Responsibilities

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

Benefits

• Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
• 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, including variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

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