1 day ago
Barcelona, Spain or Madrid, SpainStaff+
Responsibilities
- Own end-to-end AI architecture across foundation models, RAG and knowledge systems, AI agents, orchestration, data and integration platforms, cloud and hybrid infrastructure, and MLOps/LLMOps capabilities.
- Lead solution shaping for strategic pursuits, including architecture, delivery approaches, effort estimates, risks, differentiators, and commercial assumptions.
- Advise CIOs, CTOs, CDOs, and senior business stakeholders on AI strategy, platform selection, and enterprise AI roadmaps.
- Act as Design Authority by establishing reference architectures, governance standards, and guardrails for 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.
- Link architecture decisions to measurable business outcomes and apply FinOps principles to optimize AI platform and model costs.
- Mentor and develop architects, create reusable assets and reference architectures, and contribute to thought leadership and alliance development.
Requirements
- Experience in solution, enterprise, platform, or cloud architecture.
- Experience designing and delivering AI/ML, Generative AI, or Agentic AI 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 AI ecosystem: Azure, AWS, or GCP.
- Demonstrated success in solution shaping, large-scale pursuits, and delivery governance.
- Strong understanding of security, data architecture, integration patterns, and Responsible AI principles.
- Experience across multiple hyperscaler platforms is desirable.
- Experience delivering solutions in regulated industries is desirable.
- TOGAF and/or hyperscaler architecture certifications are desirable.
- Experience developing reusable assets, accelerators, and reference architectures is desirable.
- Recognized thought leadership through publications, patents, speaking engagements, or industry events is desirable.
- Knowledge of modern AI frameworks, engineering tooling, and enterprise data platforms is desirable.
Benefits
- The role can be based in Spain, Italy, France, or the UK.
- Work is blended across company offices, client sites, and home, and is not 100% remote.
- Capgemini offers career growth, learning, knowledge sharing, and opportunities to contribute to technology transformation and thought leadership.
Tech Stack
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.