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About the Role
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. 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.
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
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
- 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 solutions
- Experience 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
Skills
- Generative AI
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- Multi-agent systems
- AI copilots
- Python
- Java
- SQL
- NoSQL
- Spark
- REST APIs
- Golang
- NodeJS
- Angular
- Typescript
- LangChain
- LangGraph
- Transformers
- Vector database technologies
- Prompt engineering
- Workflow orchestration
- Snowflake
- Pinecone
- AWS
- GCP
- Docker
- Kubernetes
- CI/CD
- GitHub
- DevOps
- SonarQube
- Checkmarx
- Artifactory
- AWS CloudWatch
- Datadog
- Jfrog
- Grafana
- Thanos
- Prometheus
- Microservices
- Event-driven architectures
- Agile/Scrum
- Jira
- Confluence
Location
- Toronto, ON
Work Type
- Hybrid
- 40% home office / week
Experience Level
- 3+ years of experience designing, building, and deploying AI/ML solutions in production environments
- 2+ years of hands-on experience developing GenAI, LLM, RAG, or Agentic AI applications
Education Level
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related quantitative discipline
Salary/Compensations
- 100,500.00 - 150,500.00 (Includes target bonus)
Benefits
- Collective life and accident insurance
- 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
- Individual and well-structured introduction and training of new employees
- Buddy system for new employees
- Professional and personal development support
- High-quality healthcare
- Prevention and wellness programs
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
- 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.