AI Engineer

Sanofi • Toronto, ON

6d • CA$100,500 - CA$150,500 • Hybrid

About The Position

Sanofi is seeking a skilled AI Engineer to drive innovation and impact at the intersection of AI and Commercial operations. This role will be 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. The 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.

Requirements

• 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

Nice To Haves

• 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
• Experience in Life Sciences, Healthcare, Commercial Operations, or regulated industries
• Fluent in English; additional languages are a plus

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

Benefits

• An attractive, market-oriented salary and other benefits
• Collective life and accident insurance
• Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
• high-quality healthcare, prevention and wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level