Senior Data Architect - AI/LLM - Freelance (M/F)
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Must-have:AISenior
Machine translation — original language: French.Show original
Daily Rate (TJM): 680 €
CONTEXT
Our client is a large international group in the insurance and financial services sector, engaged in a major Data, AI, and automation transformation program. The organization operates in a complex, federated, and multi-entity environment, with significant challenges regarding governance, standardization, and the reusability of data assets. The mission is at the heart of a strategy to industrialize use cases related to generative and agentic artificial intelligence.
MISSIONS
- Explore business entities and priority use cases in order to define an initial implementation approach for the semantic layer.
- Design business vocabulary, glossaries, ontologies, taxonomies, and associated rules.
- Perform mapping between business concepts, processes, data products, and technical sources.
- Produce reference architecture files as well as detailed design documents.
- Define and implement governance, metadata, and quality standards established at the group level.
- Experiment with market solutions to validate the feasibility and value of the chosen approaches.
- Contribute to the enrichment of group standards based on feedback from experiments.
TECHNICAL SKILLS
- Data architecture, data modelling, and distributed architectures.
- Semantic layer, ontologies, taxonomies, and knowledge graphs.
- Data products, Data Mesh, and data governance.
- LLM, Generative AI, and Agentic AI architectures.
- Databricks, Microsoft Fabric, Collibra, or equivalent solutions.
COMPLEMENTARY SKILLS
- Ability to produce architecture files and detailed low-level designs.
- Experience with complex, federated, and multi-entity organizations.
- Ability to conduct technical experiments and formalize the findings.
- Fluent English, with the ability to work in an international environment.
PRACTICAL DETAILS
- Type of engagement: Senior Data Architect - Semantic Layer & Agentic AI
- Location: Paris 17
- Duration: 3 months renewable
- Required experience: 8 years minimum
- Language: Fluent English mandatory, CV in English required
- 8 years minimum experience
- Fluent English mandatory, with the ability to work in an international environment
- Mastery of data architecture, data modelling, and distributed architectures
- Knowledge of semantic layer, ontologies, taxonomies, and knowledge graphs
- Experience with data products, Data Mesh, and data governance
- Skills in LLM, Generative AI, and Agentic AI architectures
- Mastery of tools such as Databricks, Microsoft Fabric, Collibra, or equivalent solutions
- Ability to produce architecture files and detailed low-level designs
- Experience with complex, federated, and multi-entity organizations
- Ability to conduct technical experiments and formalize the findings