AI-focused Data Architect

Your mission

We are looking for a driven AI-focused Data Architect to join our innovative and international team. Are you motivated to provide your expertise and know-how in efficient data management to the ongoing design studies for the reactors Thorizon is developing? Are you passionate about designing cutting-edge data-management tools, with the goal of designing nuclear reactors for the future? Do you get energized by innovation, and transforming ideas into tangible solutions? Are you a teambuilder that can get the most out of technical experts and specialists, in an innovative and multidisciplinary development environment?

Thorizon is searching for an experienced AI-focused Data Architect to lead the design, governance, and standards of our enterprise data ecosystem.

Our organization aims to establish a structured approach to data management and applications. We intend to design and implement a data infrastructure centered around a unified, scalable, and secure Data Hub strategy in order to accelerate our growth and prepare for the implementation of AI models, while ensuring seamless and comprehensive data sharing and interoperability.

The Data Architect will work closely with our IT support partner and our AI development partners, while collaborating closely with our design engineers and experts in the key disciplines of reactor design and validation.

This is a cross-functional, high-impact role with key responsibility for our accelerating development.

This role is based in Amsterdam, Netherlands or in Lyon, France.

In this role you will:

Structure engineering data and knowledge:

• You will define and enforce data governance standards covering data quality, access, security, lifecycle management, and traceability.
• You will build the foundations of Thorizon’s information architecture by mapping key engineering data domains such as design, simulations, tests, requirements, safety, and documentation, and by defining shared models, taxonomies, and metadata structures.
• You will be expected to bring structure where none currently exists, while respecting the realities of engineering practice.

Connect the engineering lifecycle:* You will design the digital thread that links requirements, functions, design decisions, simulations, validation tests, safety evidence, and regulatory deliverables.

• This includes defining business objects, their relationships, and traceability rules across the full engineering lifecycle, ensuring that engineering justification can be followed, audited, and reused.

Enable AI-ready engineering data:* You will improve how engineering data is structured, governed, and reused across the organisation.

• This includes improving data quality, harmonizing nomenclature, reducing duplication, structuring documentation, and enriching metadata at scale.
• You will contribute to the design of Thorizon’s engineering knowledge system, including knowledge models, knowledge graphs, and ontologies, and define the foundations for AI use cases such as search, retrieval, and document generation with fully traceable sources.
• You should be comfortable working at the boundary between structured data, unstructured technical documentation, and emerging AI systems.

Ensure trust, security, and adoption:

• You will ensure that data systems are secure, compliant, and aligned with cybersecurity requirements in a safety critical environment where traceability and integrity are non-negotiable.
• You will ensure that the data management system complies with export control requirements, where applicable.
• You will work closely with system design teams in mechanics, chemistry, neutronics, thermal hydraulics, IT and cybersecurity partners, AI development partners, and safety and licensing teams.

This requires strong alignment skills across disciplines with very different constraints and priorities.

You will also stay connected to external i