Sr Data and AI Engineer

R2829592 Sr Data and AI Engineer

Location: Toronto, Canada (Hybrid)

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.

Join our AI Workflow Engineering team as a Data Engineering Lead and you can help make it happen.

You will play a key leadership role across our AI Workflow data products, specifically supporting the Source to Pay reimagination for buying and the streamlining of Sanofi knowledge and resolution for service management.

• Automate and optimize AI-driven workflows across Sanofi, including procurement and support.
• Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures.

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

• Lead the design, implementation, and delivery of data pipelines, datamarts and AI workflows, ensuring scalability, resilience, and compliance with Sanofi’s standards.
• Work closely with business and product stakeholders within the AI Workflow domain to understand requirements and translate them into technical architectures and deliverables.
• Collaborate with Data Architects and Software Engineers to design, build, and maintain Data Mart's, models, and integrations in Snowflake, leveraging DBT, Airflow, and Python for automation and orchestration.
• Define, enforce, and continuously improve Data Ops and MLOps practices, including CI/CD with Git Hub Actions and infrastructure management using Terraform on AWS.
• Provide technical leadership, mentorship, and guidance to a small team of engineers, fostering a culture of accountability and technical excellence.
• Ensure high data quality and observability through automated testing, validation, and monitoring processes.
• Collaborate with AI Workflow teams to integrate GenAI, RAGs, and Agentic AI components into production workflows.
• Stay current with Sanofi standards, industry practices, and emerging technologies, ensuring the AI Workflow ecosystem remains at the forefront of innovation.

You are a dynamic and hands-on Data Engineering lead who combines technical depth with leadership maturity, you enjoy leading small, high-performing teams while staying close to code and architecture decisions. You’re passionate about designing systems that make AI workflows reliable, scalable, and impactful for Sanofi’s enterprise mission.

• Strong experience leading end-to-end data engineering projects from design to production deployment.
• Proven experience with Snowflake, Airflow, DBT, Python, AWS, Terraform, and Git Hub Actions.
• Good knowledge of SQL and relational databases technologies/concepts.
• Proven ability to define and enforce data and MLOps standards (CI/CD, observability, lineage, reproducibility).
• 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.
• Strong collaboration with cross-functional teams — Product, Data Architecture, and AI Engineering.
• Ability to work within regulated environments (data privacy, compliance, cybersecurity) is a plus.

• Excellent written and verbal English communication skills.
• Strong leadership and mentorship skills, with the ability to inspire and elevate junior engineers.
• Excellent communication, both written and verbal, able to translate technical concepts…