Accelerator - Data & AI Engineering

Role Overview

Join Sanofi's AI Workflow Engineering team as an Accelerator - Data & AI Engineering, leading the design, implementation, and delivery of data pipelines, datamarts, and AI workflows. Collaborate with cross-functional teams to integrate GenAI, RAGs, and Agentic AI components into production workflows. Work in a hybrid environment (60% office, 40% remote).

What You Will Do

Lead end-to-end data engineering projects, design systems for AI workflows, and collaborate with teams to integrate GenAI and Agentic AI components. Work with Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions.

Why It Might Be a Fit

You will be part of a dynamic and collaborative environment, working on projects that make a significant impact on the healthcare industry. You will have opportunities for professional growth, mentorship, and leadership development.

Requirements

• Strong experience leading end-to-end data engineering projects
• Proven experience with Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions
• Good knowledge of SQL and relational databases technologies/concepts
• Proven ability to define and enforce data and MLOps standards
• Experience in building and maintaining data pipelines, datamarts, and data models at enterprise scale
• Practical understanding of GenAI, Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI integration

Benefits

• Competitive salary range: €54,400.00 - €72,533
• Employee benefit programs
• Hybrid work environment (60% office, 40% remote)
• Opportunities for professional growth and mentorship
• Collaborative and dynamic work environment
• Equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity