Position Title: Staff AI Software Engineer
Location: Toronto, ON
About the Job
Are you ready to take your engineering expertise to the next level and help shape the future of healthcare? At Sanofi, we empower our people to learn, innovate, and make an impact. You’ll join a collaborative environment where your ideas matter, and your growth is supported by inspiring mentors and cutting-edge technology.
As a Staff AI Software Engineer on Sanofi’s R&D Data & AI Products and Platforms Team, you will play a pivotal role in driving our digital transformation. Our mission is to accelerate drug discovery and deliver better treatments to patients faster by leveraging AI at scale.
This position is a cornerstone of Sanofi’s AI-first strategy, focused on building enterprise-grade Data & AI products for R&D use cases. We aim to democratize data access and scale AI/ML capabilities across the organization, enabling scientists and researchers to unlock insights that were previously out of reach.
What You'll Do:
Provide technical leadership and architectural vision for multiple complex AI initiatives.
Use your expertise to help reduce technical dependencies, establish engineering standards, and mentor junior engineers, ensuring we deliver scalable, high-quality solutions.
Help execute our ambitious roadmap for 2026 and beyond, supporting key innovation “leapfrogs” that will redefine how we discover and develop medicines.
Directly contribute to building the technical foundation that powers Sanofi’s long-term success in an increasingly AI-driven R&D landscape
AI Factory: Cross-functional pods delivering AI products with cutting-edge technology and agile methodologies
Leading Edge Tech Stack: Build globally deployed products on modern cloud infrastructure
World Class Development: Work with renowned ML leaders and continuous learning opportunities
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 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.
Main Responsibilities
Technical Leadership & Strategy:
Lead architectural design of enterprise-scale AI/ML products across multiple R&D use cases
Drive technical strategy and roadmap planning with significant autonomy in decision-making
Establish engineering standards and best practices across AI/ML product development teams
AI/ML Product Engineering:
Engineer end-to-end AI/ML products including workflows, APIs, databases, and user interfaces
Architect scalable data pipelines and system integrations for high performance and reliability
Oversee deployment and scaling of AI/ML models on cloud platforms
Team Leadership:
Lead and mentor small engineering teams with technical guidance and career development
Collaborate with Product Owners and stakeholders on capacity planning and technical risk assessment
Foster culture of engineering excellence and continuous improvement
Cross-Functional Influence:
Partner with senior stakeholders to translate business requirements into technical solutions
Influence product strategy through technical expertise and AI/ML capabilities knowledge
Drive alignment across multiple product teams on technical approaches and shared infrastructure
About You
Experience & Leadership:
Bachelor's required. Master's preferred
+7 years experience of AI/ML product engineering experience with proven track record of complex, production-grade systems
Demonstrated experience leading small engineering teams and mentoring junior/mid-level engineers
Proven ability to drive technical strategy and influence cross-functional stakeholders
Technical Expertise:
Advanced proficiency with SQL, Python, Java, AWS, Snowflake, data analytics tools
Expert-level experience designing and scaling APIs/Endpoints (Flask, Django, FastAPI)
Deep expertise in cloud platforms (AWS, Azure, GCP) and AI/ML model deployment infrastructure
Strong experience with CI/CD, containerization (Docker, Kubernetes), and MLOps practices
Why Choose Us?
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.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
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 position is for a new vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
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Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
North America Applicants Only
The salary range for this position is:
$144,100.00 - $208,166.66All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.
La fourchette salariale pour ce poste est la suivante:
$144,100.00 - $208,166.66Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.