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AI Data Architect - Knowledge & Governance

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EMP:Construction
Düsseldorf, Nordrhein-Westfalen, Germany
Tiempo Completo
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Descripción

We Want You to Grow With UsThe intelligence of any AI system is only as good as the knowledge it is built upon, and this role is responsible for making that knowledge trustworthy, structured, and enduring.

As our AI Data Architect for Knowledge & Governance, you will design and build the enterprise-grade knowledge backbone that powers Intersnack's AI programme: knowledge graphs, semantic models, vector spaces, and the RAG architectures that connect them to agentic workflows.

You will report into the AI Programme and act as a key voice in shaping not just the technical architecture, but the governance and security frameworks that ensure AI is deployed safely, explainably, and in full compliance with applicable regulation.

This is a role for someone who wants to build something that lasts: a change-resilient knowledge infrastructure that scales across procurement, manufacturing, sales, and beyond.

What We Can OfferThis role sits at the architectural heart of Intersnack's AI transformation, giving you the rare opportunity to define the knowledge foundation from the ground up rather than inherit a legacy system.

You will have significant design authority, shaping ontologies, graph architectures, and governance frameworks that will influence how AI operates across a business present in more than 30 countries.

Working alongside data engineers, AI engineers, and business stakeholders, you will contribute to a collaborative environment where architecture decisions have visible, measurable impact.

Flexibility between Dusseldorf and remote working supports a working model that suits your needs, while the international scope of the programme ensures continuous exposure to complex, real-world challenges at scale.

How You Will Spend Your Time as Our Next AI Data Architect - Knowledge & GovernanceYou will spend your time designing the structural intelligence layer that makes enterprise AI possible: building knowledge graphs, semantic models, and vector spaces that ground AI outp.

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