Sanofi Pasteur Inc.
AI Engineer
Toronto, ON · Mid
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About the role
- Reference Number: R2868511 Position title: AI Engineer Department: Commercial Data Science Location: Toronto,ON ( Flexible working - 40% home office / week) 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.
- Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible.
Responsibilities
- Design, develop, deploy, and support scalable Generative AI and Agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units
- Architect and implement Retrieval-Augmented Generation (RAG) solutions, multi-agent systems, and AI copilots leveraging enterprise data and knowledge assets
- Collaborate closely with product owners, business stakeholders, architects, data scientists, data engineers, and software engineers to deliver AI products that create measurable business value
- Enhancing the patient journey through intelligent and personalized support
- Design reusable AI components, frameworks, libraries, and services that accelerate enterprise AI solution development
- Build and optimize agentic workflows, prompt engineering strategies, orchestration frameworks, and tool integrations to improve AI application performance and reliability
- Develop and maintain production-ready code following AI engineering best practices, including testing, CI/CD, observability, and documentation standard
- Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites.
- We are seeking a skilled AI Engineer to drive innovation and impact at the intersection of AI and Commercial operations.
Requirements
- 3+ years of experience designing, building, and deploying AI/ML solutions in production environments, with at least 2+ years of hands-on experience developing GenAI, LLM, RAG, or Agentic AI applications
- Strong understanding of agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, and AI application evaluation frameworks
- Proficiency working with structured, semi-structured, and unstructured data stored in enterprise platforms including Snowflake, Pinecone, object stores (e.g., Snowflake, AWS DocumentDB, S3, AWS RDS) or similar databases
- Experience working with cloud platforms such as AWS, or GCP, leveraging cloud-native AI, data, and application services
- Experience with containerization and modern engineering tools such as Docker, Kubernetes (AWS EKS/ECR/Eventbridge), CI/CD pipelines, and source control platforms (GitHub, DevOps)
- Familiarity with DevOps tooling like SonarQube, Checkmarx, Artifactory, AWS CloudWatch, Datadog, Jfrog, Grafana, Thanos, Prometheus
- Experience integrating AI solutions with enterprise systems through REST APIs, microservices, and event-driven architectures
- Knowledge of regulatory, compliance and ethical considerations in AI/GenAI
- Ability to translate business requirements into scalable, maintainable, and production-ready AI solutionsExperience working in global, cross-functional, and multicultural teams within complex enterprise organizations
Nice to have
- Fluent in English
- additional languages are a plus
Skills
- Ability to communicate complex AI, GenAI, and Agentic AI concepts effectively to both technical and non-technical stakeholders
- Experience mentoring junior AI engineers, data scientists, or technical team members
- Nice to have professional certification such as AWS certified ML Engineer or SnowPro Data Scientist Certification
- Ability to thrive in a fast-paced, rapidly evolving AI landscape while managing multiple priorities and stakeholder expectations
- Nice to have experience in Life Sciences, Healthcare, Commercial Operations, or regulated industries
- Fluent in English; additional languages are a plus
- When joining our team, you will experience:
- An attractive, market-oriented salary and other benefits
- Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days
- Collective life and accident insurance
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
- Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
Compensation
- An attractive, market-oriented salary and other benefits
Benefits
- We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives.
Company info
- An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
- An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
- Your professional and personal development will be supported purposefully
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.
- This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.
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 Pasteur Inc.'s careers page and normalized into a canonical job model.