2 months ago
Toronto, CanadaMid Level
Responsibilities
- Design, develop, deploy, and support scalable Generative AI and Agentic AI solutions aligned with Sanofi’s strategic priorities.
- Architect and implement Retrieval-Augmented Generation solutions, multi-agent systems, and AI copilots using enterprise data and knowledge assets.
- Develop AI use cases including market research, competitive intelligence, omnichannel engagement, market access, conversational data interaction, and personalized patient support.
- Design reusable AI components, frameworks, libraries, and services that accelerate enterprise AI development.
- Build and optimize agentic workflows, prompt engineering strategies, orchestration frameworks, tool integrations, and evaluation processes.
- Develop and maintain production-ready code with testing, CI/CD, observability, documentation, scalability, security, and performance practices.
- Contribute to AI platform and enterprise data foundation strategies and continuously improve AI application quality, reliability, performance, and user adoption.
- Ensure AI solutions meet Responsible AI, security, privacy, governance, compliance, and regulatory requirements.
- Collaborate with product owners, business stakeholders, architects, data scientists, data engineers, and software engineers to deliver measurable business value.
- Communicate technical concepts and architectural decisions to technical and business audiences and mentor junior engineers, data scientists, and interns.
Requirements
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related quantitative discipline.
- At least 3 years of experience designing, building, and deploying AI/ML solutions in production environments.
- At least 2 years of hands-on experience developing GenAI, LLM, RAG, or Agentic AI applications.
- Strong programming and software engineering skills in Python, Java, or another enterprise programming language.
- Experience with SQL/NoSQL querying, Spark, REST APIs, Golang, NodeJS, Angular, and TypeScript.
- Experience with LangChain, LangGraph, Transformers, and vector database technologies.
- Strong understanding of agentic AI architectures, multi-agent systems, prompt engineering, tool or function calling, workflow orchestration, and AI application evaluation frameworks.
- Experience working with structured, semi-structured, and unstructured enterprise data, including Snowflake, Pinecone, AWS DocumentDB, S3, AWS RDS, or similar databases.
- Experience developing and deploying production-grade AI applications with emphasis on scalability, reliability, observability, security, and performance optimization.
- Understanding of AI/ML lifecycle management, including deployment, monitoring, evaluation, governance, and continuous improvement.
- Experience with AWS or GCP and cloud-native AI, data, and application services.
- Experience with Docker, Kubernetes, AWS EKS, AWS ECR, AWS EventBridge, CI/CD pipelines, and source control platforms such as GitHub or DevOps.
- Familiarity with SonarQube, Checkmarx, Artifactory, AWS CloudWatch, Datadog, JFrog, Grafana, Thanos, and Prometheus.
- Experience integrating AI solutions through REST APIs, microservices, and event-driven architectures.
- Knowledge of regulatory, compliance, and ethical considerations in AI and GenAI.
- Experience collaborating across engineering, product, business, data, and platform teams and defining technical architecture, dependencies, risks, and solutions.
- Experience mentoring junior AI engineers, data scientists, or technical team members.
- Strong written and verbal communication skills, including technical documentation, architecture reviews, and leadership presentations.
- AWS Certified ML Engineer or SnowPro Data Scientist certification is preferred.
- Experience in life sciences, healthcare, commercial operations, or other regulated industries is preferred.
- Experience with Agile/Scrum, Jira, and Confluence is preferred; fluency in English is required and additional languages are a plus.
Benefits
- Flexible working arrangement with up to 40% of time from home.
- International work environment with mentorship, training, and opportunities for professional development and internal or international mobility.
- Market-oriented salary and rewards package, with eligibility for employee benefits programs.
- Collective life and accident insurance.
- Health and wellbeing benefits, including healthcare, prevention, and wellness programs.
- Training and certification pathways through AWS, Snowflake, Informatica, and other providers.
- Structured onboarding, introductory training, and a dedicated buddy program.
Tech Stack
AngularApache SparkAWSDatadogDockerGoGoogle Cloud PlatformGrafanaInformaticaJavaKubernetesNode.jsPrometheusPythonSnowflakeSonarQubeSQLTypeScript
Categories
About Sanofi
Sanofi is a global biopharmaceutical manufacturer that discovers, develops, and commercializes prescription medicines, vaccines, and consumer healthcare products for patients and healthcare systems worldwide. Its portfolio and pipeline span immunology, oncology, rare diseases and blood disorders, neurology, diabetes, cardiovascular conditions, and vaccines. The company is publicly traded and headquartered in Paris, France, with large-scale R&D and manufacturing operations across Europe, the Americas, and Asia.