Lead Data Scientist

Capgemini • Chicago, IL

6d

About The Position

Capgemini seeks a senior AI architecture leader to shape and govern large, strategic AI transformation programs. The role guides enterprise-scale AI, Generative AI, and Agentic AI solutions from client pursuit through production deployment and operationalization. It provides strategic advice to CIOs, CTOs, CDOs, and senior business leaders on architecture, platform selection, delivery approaches, and business value realization, while ensuring solutions are secure, scalable, cost-effective, responsible, and deliverable. The work combines executive advisory, enterprise architecture leadership, pursuit support, delivery governance, and AI capability development. The posting lists Chicago, Illinois; Atlanta, Georgia; and New York, New York as locations.

Requirements

• 10 or more years of experience in Solution Architecture, Enterprise Architecture, Cloud Architecture, or Platform Architecture.
• At least 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 and extensive client-facing and executive stakeholder engagement.
• Demonstrated success shaping large opportunities and supporting proposal development and solution governance.
• Deep understanding of enterprise AI architecture and modern AI platforms.
• Experience with at least one major hyperscaler AI ecosystem: Microsoft Azure AI, AWS, or Google Cloud Platform.
• Knowledge of LLMs, RAG architectures, Agentic AI frameworks, vector databases and knowledge platforms, MLOps and LLMOps, data engineering and integration architectures, and API and event-driven architectures.
• Strong understanding of cybersecurity, privacy, governance, and Responsible AI principles.
• 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.

Nice To Haves

• 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.
• Industry thought leadership contributions 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, or Microsoft Fabric.

Responsibilities

• Lead architecture for strategic, enterprise-scale AI transformation programs.
• Shape and govern AI, Generative AI, and Agentic AI solutions from client pursuit through production deployment and operationalization.
• Advise executive client stakeholders on AI architecture, platform choices, delivery approaches, and business value realization.
• Ensure proposed solutions are secure, scalable, cost-effective, responsible, and deliverable.
• Support large opportunities, proposal development, and solution governance.
• Lead architecture across complex enterprise transformation programs.
• Lead distributed teams across complex, multi-vendor environments.
• Develop enterprise reference architectures and reusable AI assets.

Benefits

• Paid time off, including 12–25 vacation days depending on employee 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 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Additional benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

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