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.
About the Sanofi Digital:
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the centre of our ambitions.
Sanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. 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. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.
We are seeking a skilled AI Engineer to drive innovation and impact at the intersection of AI and Commercial operations. 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.
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:
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
Work on prioritized impactful business use cases such as
Agentic AI powered Market Research & Competitive Intelligence platform
Autonomous agents for omnichannel engagement
AI & GenAI driven transformation of market access and payer strategies
Conversational AI for data interactions and insights (Talk-to-data capabilities)
Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
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
Contribute to the evolution of AI platform, and enterprise data foundation strategies
Monitor, evaluate, and continuously improve AI application quality, performance, scalability, and user adoption
Ensure AI solutions comply with Responsible AI, security, privacy, governance, and regulatory requirements
Stay current with emerging AI technologies, foundational models, frameworks, and engineering practices, and identify opportunities to incorporate innovations into existing products and platforms
Communicate technical concepts, architectural decisions, and solution outcomes effectively to both technical and business audiences
Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing
About you
Required Qualifications:
Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related quantitative discipline
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 software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular, Typescript etc.
Experience developing AI applications using modern frameworks and libraries such as LangChain, LangGraph, Transformers, and vector database technologies
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 developing and deploying production-grade AI applications with a focus on scalability, reliability, observability, security, and performance optimization
Understanding of AI/ML lifecycle management, including model deployment, monitoring, evaluation, governance, and continuous improvement practices
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
Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
Functional Skills:
Ability to communicate complex AI, GenAI, and Agentic AI concepts effectively to both technical and non-technical stakeholders
Understanding of end-to-end AI product development initiatives and collaborating across engineering, product, business, data, and platform teams
Ability to define technical architecture, identify dependencies, manage risks, and resolve blockers across cross-functional Agile teams
Strong problem-solving, systems-thinking, and solution design capabilities with a focus on delivering measurable business outcomes
Experience mentoring junior AI engineers, data scientists, or technical team members
Excellent written and verbal communication skills, including technical documentation, architecture reviews, and leadership-level presentations
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 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 international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
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
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
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 is now open for applications.
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.
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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#DBBCA
Pursue progress, discover extraordinary
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:
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
