Reference no. R2861422**

Position title :Data and AI Engineer

Department :ML Solutions Engineering

Location :Toronto, ON

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

Sanofi is a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering, and stand on the side of the rare, the underserved, and the incurable. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the world. Sanofi has a significant and growing presence in Toronto - Canada , as part of its commitment to building world-class digital and data capabilities in Europe. - Position Overview : Sanofi Digital M&S; is on a bold journey to become the first AI-powered life sciences company — and the Data & AI Engineering team is at the forefront of this transformation. As an Data & AI Engineer within this team, you will design and build cutting-edge data & AI systems that reimagine how Sanofi's global M&S; operates.

This is not a role about maintaining the status quo — it's about reinventing it. You will architect and deploy intelligent, autonomous AI solutions that automate complex workflows, unlock real-time decision-making, and drive operational excellence at scale. Your work will sit at the intersection of frontier AI engineering and mission-critical business operations — directly contributing to Sanofi's AI-first strategy and its ability to deliver life-saving medicines to patients worldwide.

About Sanofi

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 cutting-edge 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.

Main Responsibilities : Agentic AI Systems Development

- Build data pipelines using industry frameworks.
- Develop AI-powered decision-making systems that enable autonomous or semi-autonomous operations.
- Integrate LLMs and generative AI capabilities into operational workflows to enhance intelligence, reasoning, and automation.

Data Engineering & AI Infrastructure

- Build and maintain robust, scalable data pipelines that feed AI agents with real-time and historical data.
- Design and implement RAG (Retrieval-Augmented Generation) architectures and vector database solutions to power knowledge-grounded AI agents.
- Ensure data quality, reliability, and low-latency delivery to support production-grade agentic systems.
- Build and optimize data infrastructure on Azure (preferred) or equivalent cloud platforms.

Collaboration & Product Delivery

- Partner closely with business stakeholders to deeply understand operational challenges and translate them into AI-powered solutions.
- Collaborate with Data Scientists, Product Owners, IT Architects,



and fellow engineers to deliver end-to-end AI products — not just models.
- Contribute to the team's AI product roadmap , shaping the future of AI-driven supply chain operations at Sanofi.
- Participate in Agile ceremonies, code reviews, and engineering best practices to maintain a high-quality, high-velocity delivery culture.

About You

Required Qualifications :

- Bachelor's degree in Computer Science, Data Science, AI/ML, Software Engineering , or a related quantitative field. A Master's degree is preferred.
- 3-5 years of hands-on experience in data engineering, AI/ML development, or software engineering.
- Proven experience building and deploying AI agents or multi-agent systems in a professional environment.
- Track record of delivering production-grade AI or data solutions with measurable business impact.

Preferred Qualifications :

- Experience with real-time data streaming and event-driven architectures (Kafka, Azure Event Hubs, etc.).
- Knowledge of AI safety, responsible AI, and explainability practices.
- Experience in the pharmaceutical or regulated industry , including GxP compliance frameworks (FDA 21 CFR Part 11, EU Annex 11).
- Cloud or AI certifications (e.g., Azure AI Engineer, Databricks Certified, AWS ML Specialty).

What We Offer

- Frontier AI Engineering : Work on cutting-edge agentic AI systems — multi-agent architectures, LLM integration, and real-time AI decision-making — with genuine operational impact at global scale.
- Global Impact : Your AI solutions will directly influence the availability of life-saving medicines for patients worldwide.
- Cutting-Edge Exposure : Stay at the forefront of AI — LangGraph, multi-agent systems, RAG, generative AI

📌 Data and Ai Engineer (Toronto)
🏢 Sanofi
📍 Toronto