AI and Data Architect Specialist

Data architecture and technology

• define, maintain and document conceptual and logical data models for the data ecosystem in close collaboration with Enterprise and Data architect
• define, implement and monitor compliance to data architecture principles, ensuring consistency, scalability, and interoperability across systems
• identify and recommend technologies for semantic search, knowledge graphs, and AI-enhanced data access AI and data intelligence enablement
• evaluate and implement AI-oriented data technologies, including vector databases, graph databases, embeddings, and retrieval pipelines
• work with data team to scale and integrate new technologies into the data architecture
• contribute to the design of AI enabled applications (e.g., content discovery, document intelligence, knowledge assistants, etc.)
• promote best practices for data preparation, enrichment, and optimization for AI models

Collaboration with all IT teams (Digital Workplace, Back Office Solutions and Data, and Customer Solutions and Infrastructure)

Governance and quality

Best practices

Strong background in data architecture or data engineering, ideally with exposure to both traditional and AIenhanced data systems.

Hands-on experience with cloud-based data platforms (AWS and OCI - Oracle Cloud Infrastructure) and modern data stack components.

Knowledge of vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search) and graph databases (e.g., Neo4j, AWS Neptune, Oracle Graph).

Knowledge and practice of a data management framework (DAMA-DMBOK).

Knowledge of and understanding of AI-related regulations (e.g., EU AI Act).

Familiarity with data modeling tools, conceptual model design, and metadata management.

Understanding of machine learning pipelines and LLM integrations (embedding retrieval, RAG, semantic search).

Proficiency in SQL, Python, and modern ETL / ELT frameworks.

Solid working knowledge of relevant digital tools, curious about, able to learn, assimilate and understand the

impacts of current and future technologies.

Demonstrate strong project management and leadership skills, with the ability to plan, coordinate, and lead

the implementation of data initiatives, manage vendors and external partners, and ensure alignment with

strategic objectives, timelines, and quality standards.

Attractive environment

Flexible Hours

2 days of home office per week.