Position Title:Staff AI Software Engineer

Location: Toronto, ON

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

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.​

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

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The salary range for this position is:

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:

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