Internship Manufacturing Engineering Jobs in Toronto, ON

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. 

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.