Data Engineer Expert AI / Agentic AI

Project overview

Mission Context

As part of the development of its Data and AI capabilities, Sanofi wishes to strengthen its teams with a senior profile capable of contributing to the industrialization of data pipelines and the development of AI agents.

The solutions developed are intended to be used on a large scale, potentially by nearly 100,000 employees across the company. They must simplify access to complex systems and data and streamline daily processes, particularly in the following areas:

The mission is at the intersection of Data Engineering, Data Platform, and Agentic AI.

Mission Objectives

The consultant will contribute to:

Main Responsibilities

The consultant will be involved in the following activities:

Technical Environment

Essential Skills

Complementary Skills Appreciated

Essential Skills / Qualities:

data engineering, python, aws, agentic ai

• Finance and payments;
• Industry and operations;
• Commerce;
• Logistics;
• IT Support;
• Incident management.
• transforming and structuring the data used by AI solutions;
• designing and developing robust data pipelines;
• industrializing data flows and platforms up to their production deployment;
• developing AI agents and conversational interfaces connected to internal data and systems;
• making business processes simpler, faster, and smoother;
• ensuring the reliability, maintainability, and scalability of the developed solutions;
• supporting the transition of AI prototypes or experiments to production-ready solutions.
• analyzing technical and business needs related to Data and AI projects;
• designing the architecture of data pipelines and flows;
• developing, maintaining, and optimizing data pipelines;
• working on Snowflake and dbt environments;
• preparing the data necessary for feeding AI models, agents, and interfaces;
• participating in the design of agents capable of interacting with the company's data and systems;
• implementing best practices for industrialization, deployment, and monitoring;
• contributing to data quality, security, governance, and traceability;
• collaborating with Data, AI, Architecture, IT, business, and security teams;
• documenting solutions and supporting their adoption by users.
• Data Engineering;
• Snowflake;
• dbt;
• design and development of data pipelines;
• industrialization and production deployment of data platforms or products;
• understanding of Data and AI architectures;
• concrete experience with generative AI or Agentic AI projects.
• Python and SQL;
• AWS;
• Airflow or similar orchestration tools;
• APIs and system integration;
• cloud architectures;
• RAG, LLM or conversational interfaces;
• observability, CI/CD and DevOps practices;
• data security and governance.

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Rate: 75-75 EUR/h
• Languages: French