Madrid, Madrid
Job Summary
End-to-end GenAI and ML solution architecture. Vector DB selection and hyperscaler service mapping (Azure AI, AWS, GCP). Data platform topologies and feature store patterns. Access control, data lineage, and NFR definition for AI systems. Architecture governance support and enterprise integration patterns. AI reference architecture definition and vendor-neutral technology roadmapping. Architecture review board participation. Compliance with EU AI Act and data residency requirements.
Key Responsibilities
Professionals capable of defining technical requirements and design (including scalability, performance, recoverability, security and confidentiality, maintainability, operability, and availability) for an IT platform or portfolio. Special knowledge of new technology standards required (e.g. cloud computing). Professionals shall possess knowledge to design projects enabling DevOps implementation and knowledge of relevant tool stacks.
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