Join Wavestone as a Manager, Data & AI Engineer in the AI Business Unit, based in Puteaux, France. You will be at the heart of industrializing AI for large organizations by designing and evolving modern Data & AI foundations (data lake/lakehouse, data warehouse, data mesh, and data products) that support analytics, ML, and GenAI, and by building robust data pipelines (batch, micro-batch, and streaming) from ingestion to exposure (BI, APIs, ML features, and RAG). You will industrialize AI, GenAI, and BI use cases by partnering with Data Scientists and AI Engineers to move from PoC to production, packaging models, automating workflows, and implementing best practices in MLOps and LLMOps. You will contribute to the development of data & AI platforms by collaborating with client Data & AI Platform teams to define architectural patterns, tooling (Databricks, Snowflake, Dataiku, Azure/AWS/GCP), and development standards. You will serve as Tech Lead Data Engineering within IA/AI squads, providing technical framing, architecture trade-offs, code reviews, and mentoring for the engineering teams. You will implement data quality, governance, and observability across data pipelines (data contracts, monitoring, schema management) and contribute to governance activities (catalogs, lineage, access security, and AI Act compliance). You will deploy AI Agents solutions, designing data and technical architectures that support agent chains, orchestrators, specialized agents, and integration with business systems and APIs, and you will work with business teams to transform complex processes int

Join Wavestone as a Manager, Data & AI Engineer in the AI Business Unit, based in Puteaux, France. You will be at the heart of industrializing AI for large organizations by designing and evolving modern Data & AI foundations (data lake/lakehouse, data warehouse, data mesh, and data products) that support analytics, ML, and GenAI, and by building robust data pipelines (batch, micro-batch, and streaming) from ingestion to exposure (BI, APIs, ML features, and RAG). You will industrialize AI, GenAI, and BI use cases by partnering with Data Scientists and AI Engineers to move from PoC to production, packaging models, automating workflows, and implementing best practices in MLOps and LLMOps. You will contribute to the development of data & AI platforms by collaborating with client Data & AI Platform teams to define architectural patterns, tooling (Databricks, Snowflake, Dataiku, Azure/AWS/GCP), and development standards. You will serve as Tech Lead Data Engineering within IA/AI squads, providing technical framing, architecture trade-offs, code reviews, and mentoring for the engineering teams. You will implement data quality, governance, and observability across data pipelines (data contracts, monitoring, schema management) and contribute to governance activities (catalogs, lineage, access security, and AI Act compliance). You will deploy AI Agents solutions, designing data and technical architectures that support agent chains, orchestrators, specialized agents, and integration with business systems and APIs, and you will work with business teams to transform complex processes int