About the job you are considering Capgemini's Insights & Data practice helps leading organizations harness data to drive innovation, efficiency, and transformation. You'll join a purpose-driven, inclusive team working with cutting-edge technologies in a global, agile environment — with strong support for career growth, learning, and making a difference. noting that you will be unable to work at home 100% of the time. Own the AI architecture for Capgemini's largest and most strategic client programmes. As a Managing AI Architect / Principal AI Architect, you will be accountable for the architecture of complex, multi-workstream AI, Generative AI and Agentic AI programmes from pursuit through to production, ensuring solutions are secure, scalable, cost-effective and aligned to measurable business outcomes. Own end-to-end AI architecture across foundation models, RAG and knowledge systems, AI agents and orchestration, data and integration platforms, cloud and hybrid infrastructure, and MLOps/LLMOps capabilities. Lead AI solution shaping for strategic pursuits, defining architecture, delivery approaches, effort estimations, risks, differentiators and commercial assumptions. Advise CIOs, CTOs, CDOs and senior business stakeholders on AI strategy, platform selection and enterprise AI roadmaps across Azure, AWS, GCP and the broader AI ecosystem. Act as Design Authority, 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 realisation while applying FinOps principles to optimise AI platform and model costs. Mentor and develop architects, create reusable assets and reference architectures, and contribute to Capgemini thought leadership and alliance development. experienced in Solution, Enterprise, Platform or Cloud Architecture. 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 AI ecosystem (Azure, AWS or GCP). Strong understanding of security, data architecture, integration patterns and Responsible AI principles. TOGAF and/or hyperscaler architecture certifications. Experience developing reusable assets, accelerators and reference architectures. Knowledge of modern AI frameworks, engineering tooling and enterprise data platforms. Capgemini is an AI-powered general business and technology transformation partner, delivering tangible business value. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

📌 Architect AWS Cloud (Barcelona)
🏢 Jobbydoo
📍 Barcelona