Sanofi
Data and AI Engineer
Toronto, ON
Sponsorship not specified$101k-$151kDetected 4 days ago
AlgorithmsCode ReviewDatabricksVector DatabasesAWSAzureKafkaMachine LearningData EngineeringData ScienceLLMsRAGAgentic AILangGraphProduct ManagementProduct StrategyAgileSupply ChainHRFDA RegulatoryCollaborationGxP
About the role
- 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.
- This is not a role about maintaining the status quo - it's about reinventing it.
- We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth.
Responsibilities
- Build data pipelines using industry frameworks.
- Develop AI-powered decision-making systems that enable autonomous or semi-autonomous operations.
- 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.
- 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.
- Participate in Agile ceremonies, code reviews, and engineering best practices to maintain a high-quality, high-velocity delivery culture.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
Requirements
- 3-5 years of hands-on experience in data engineering, AI/ML development, or software engineering.
- Track record of delivering production-grade AI or data solutions with measurable business impact.
Nice to have
- 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).
- 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.
Compensation
- 100,500.00 - 150,500.00 (Includes target bonus) Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors.
Benefits
- Career Growth: Access to structured development programs, internal mobility, and continuous learning resources within Sanofi's digital ecosystem.
- Competitive Package: Attractive compensation, performance bonuses, and comprehensive benefits.
- Flexible Working: Hybrid work model supporting work-life balance.
Company info
- Join a diverse, mission-driven team united by a passion for AI and operational excellence.
Visa & Work Authorization
- ual opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity
This listing is sourced directly from Sanofi's careers page and normalized into a canonical job model.