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Capgemini

Global consulting, technology services, outsourcing

Managing AI Architect / Principal AI Architect

AI & Machine LearningUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Experience in solution, enterprise, platform, or cloud architecture.
  • Experience designing and delivering artificial intelligence, machine learning, generative artificial intelligence, or agentic artificial intelligence solutions in production environments.
  • Proven experience owning complex enterprise architecture programmes and governing architecture decisions.
  • Strong client-facing consulting experience with executive-level stakeholder engagement.
  • Hands-on experience with at least one hyperscaler artificial intelligence ecosystem: Azure, Amazon Web Services, or Google Cloud Platform.
  • Demonstrated success in solution shaping, large-scale pursuits, and delivery governance.
  • Strong understanding of security, data architecture, integration patterns, and Responsible AI principles.

Responsibilities

  • Own end-to-end artificial intelligence architecture across foundation models, retrieval-augmented generation and knowledge systems, AI agents and orchestration, data and integration platforms, cloud and hybrid infrastructure, and machine learning operations and large language model operations capabilities.
  • Lead AI solution shaping for strategic pursuits by defining architecture, delivery approaches, effort estimations, risks, differentiators, and commercial assumptions.
  • Advise chief information officers, chief technology officers, chief data officers, and senior business stakeholders on AI strategy, platform selection, and enterprise AI roadmaps across Azure, Amazon Web Services, Google Cloud Platform, and the broader AI ecosystem.
  • Act as Design Authority by establishing reference architectures, governance standards, and guardrails covering security, privacy, Responsible AI, and regulatory compliance.
  • Lead architecture through delivery, including detailed design, implementation assurance, production readiness, operational transition, and remediation of architecture deviations.
  • Drive measurable business outcomes by linking architecture decisions to value realization and applying FinOps principles to optimize AI platform and model costs.
  • Mentor and develop architects, create reusable assets and reference architectures, and contribute to company thought leadership and alliance development.

Desired Qualifications

  • Experience across multiple hyperscaler platforms.
  • Experience delivering solutions within regulated industries.
  • TOGAF and/or hyperscaler architecture certifications.
  • Experience developing reusable assets, accelerators, and reference architectures.
  • Recognized thought leadership through publications, patents, speaking engagements, or industry events.
  • Knowledge of modern AI frameworks, engineering tooling, and enterprise data platforms.

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

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