AI Solutions Architecture & Engineering Managing Consultant

CapgeminiChicago, IL
$127,500 - $249,350

About The Position

At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a "builder-advisor" (“forward deployed”) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

Requirements

  • 7–9 years in software or solutions architecture, with AI delivery experience
  • Deep expertise in agentic AI systems and enterprise AI integration
  • Proven experience leading engineering teams in client environments
  • Strong client presence and executive‑level technical communication
  • Track record of shipping production AI systems at scale
  • Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
  • Able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness
  • Experience working in AI‑augmented ways of working to enhance research, analysis, and solution development.
  • Collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions
  • Solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
  • Demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Responsibilities

  • Lead end‑to‑end technical delivery on flagship AI engagements
  • Own architecture decisions including stack selection, integration, and deployment
  • Manage engineering teams and establish delivery and code quality standards
  • Lead technical discussions with VP / Director‑level client stakeholders
  • Identify expansion opportunities grounded in technical delivery insights

Benefits

  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
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