Reference no.

Position title: Data and AI Engineer

Department: ML Solutions Engineering

Location: Toronto, ON

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.

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 - in a team that actively explores and adopts emerging technologies.
• Shape the Future: Contribute to the AI Engineering team's product roadmap and help define what AI-driven operations look like in a global pharma leader.
• Career Growth: Access to structured development programs, internal mobility, and continuous learning resources within Sanofi's digital ecosystem.
• Inclusive Culture: Join a diverse, mission-driven team united by a passion for AI and operational excellence.
• Competitive Package: Attractive compensation, performance bonuses, and comprehensive benefits.
• Flexible Working: Hybrid work model supporting work-life balance.

North America Applicants Only

The salary range for this position is:
100,500.00 - 150,500.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:
100,500.00 - 150,500.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien