Managing AI Architect / Principal AI Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location Chicago IL, Atlnata GA, New York NY Your Role Capgemini is seeking a highly experienced Managing AI Architect / Principal AI Architect to lead the architecture of our largest and most strategic AI transformation programs. This is a senior leadership role responsible for shaping and governing complex, enterprise-scale AI, Generative AI, and Agentic AI solutions from initial client pursuit through production deployment and operationalization. You will work directly with CIOs, CTOs, CDOs, and senior business leaders, providing strategic guidance on AI architecture, platform choices, delivery approaches, and business value realization. As the accountable architecture leader, you will ensure that every proposed solution is secure, scalable, cost-effective, responsible, and deliverable. This role combines executive advisory, enterprise architecture leadership, pursuit support, delivery governance, and AI capability development. Required Skills and Expereince • 10+ years of experience in Solution Architecture, Enterprise Architecture, Cloud Architecture, or Platform Architecture. • 3+ years of hands-on experience designing and delivering AI/ML, Generative AI, or Agentic AI solutions in production environments. • Proven experience owning architecture for complex enterprise transformation programs. • Strong consulting background with extensive client-facing and executive stakeholder engagement. • Demonstrated success shaping large opportunities and supporting proposal development and solution governance. Technical Expertise • Deep understanding of enterprise AI architecture and modern AI platforms. • Experience with at least one major hyperscaler AI ecosystem: • Microsoft Azure AI • Amazon Web Services (AWS) • Google Cloud Platform (GCP) • Knowledge of: • Large Language Models (LLMs) • RAG architectures • Agentic AI frameworks • Vector databases and knowledge platforms • MLOps and LLMOps • Data engineering and integration architectures • API and event-driven architectures • Strong understanding of cybersecurity, privacy, governance, and Responsible AI principles. Leadership Skills • Executive presence and ability to influence senior stakeholders. • Strong architectural governance and decision-making capabilities. • Exceptional communication, facilitation, and stakeholder management skills. • Ability to lead distributed teams across complex, multi-vendor environments. Preferred Qualifications • Experience across multiple hyperscaler cloud platforms. • Experience delivering AI solutions in regulated industries such as Financial Services, Healthcare, Life Sciences, Telecommunications, Energy, or Public Sector. • TOGAF, Azure, AWS, or GCP architecture certifications. • Experience developing enterprise reference architectures and reusable AI assets. • Contributions to industry thought leadership through publications, patents, open-source projects, conference presentations, or industry forums. • Experience with modern AI frameworks and platforms such as: • Azure AI Foundry • OpenAI Services • AWS Bedrock • Google Vertex AI • LangChain • LangGraph • Semantic Kernel • LlamaIndex • Databricks • Snowflake • Microsoft Fabric The base compensation range for this role in the posted location is $ 117,930 to $223,591 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partners