C

Capgemini

Global consulting, technology services, outsourcing

Managing AI Architect / Principal AI Architect

AI & Machine LearningUpdated on Nov 14
Full-timeIn-person

About the Job

Requirements

  • At least 10 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 with 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, Amazon Web Services, or Google Cloud Platform.
  • Knowledge of large language models, retrieval-augmented generation 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.

Responsibilities

  • Lead the architecture of the company's largest and most strategic AI transformation programs.
  • Shape and govern complex, enterprise-scale AI, generative AI, and agentic AI solutions from initial client pursuit through production deployment and operationalization.
  • Provide strategic guidance to CIOs, CTOs, CDOs, and senior business leaders on AI architecture, platform choices, delivery approaches, and business value realization.
  • Ensure proposed solutions are secure, scalable, cost-effective, responsible, and deliverable.

Desired Qualifications

  • Experience across multiple hyperscaler cloud platforms.
  • Experience delivering AI solutions in regulated industries such as financial services, healthcare, life sciences, telecommunications, energy, or the 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, or Microsoft Fabric.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

Recently Posted Jobs

Explore more opportunities at Capgemini

See more jobs