AI Engineer

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.

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,