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AI-ML Lead - Agentic AI Systems

Job in Toronto, Ontario, C6A, Canada
Listing for: Sanofi SA
Full Time position
Listed on 2026-06-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Reference No
: R2841422

Position Title
: AI-ML Lead - Agentic AI Systems

Department
:
Computational Science

Location
:
Toronto, ON

About The Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

About

The Role

Join Sanofi's Digital R&D as an AI/ML Lead to spearhead our development of cutting‑edge agentic AI systems that will revolutionize how we discover, develop, and deliver life‑changing medicines. In this leadership role, you will guide a team of talented researchers and engineers in building autonomous AI agents that can accelerate drug discovery, optimize clinical trials, and enhance patient outcomes through intelligent automation and decision‑making.

As the AI/ML Lead, you'll drive innovation at the intersection of artificial intelligence and pharmaceutical science, translating complex healthcare challenges into breakthrough AI solutions. This position offers a unique opportunity to shape the future of medicine by advancing agent‑based systems that can collaborate with researchers, analyze vast datasets, and solve real‑world healthcare problems, ultimately supporting our mission to chase the miracles of science.

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
  • Define the technical roadmap for agentic AI initiatives, aligning with Sanofi's digital transformation and patient‑centric goals
  • Guide a multidisciplinary team of AI/ML scientists and engineers in developing state‑of‑the‑art agentic AI systems for pharmaceutical applications
  • Architect sophisticated multi‑agent systems for drug discovery, clinical research, and healthcare optimization
  • Drive development of AI agents that can accelerate research timelines, improve patient outcomes, and enhance operational efficiency
  • Ensure all AI systems meet pharmaceutical industry standards, regulatory requirements, and Sanofi's quality commitments
  • Partner with R&D to identify high‑impact use cases
  • Champion AI safety, ethics, and responsible innovation practices across all healthcare applications
  • Mentor team members and foster a culture of scientific curiosity and continuous learning
  • Represent Sanofi in the AI research community through publications, partnerships, and industry collaborations
About You

Required Qualifications
  • Ph.D. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field
  • 3+ years building production AI/ML systems, with 1+ years in technical leadership roles
  • Proven track record of publications in top‑tier AI/ML or healthcare informatics conferences
  • Proven track record of managing and inspiring high‑performing AI/ML teams
  • Deep knowledge of large language models, transformers, and modern deep learning architectures
  • Expert‑level Python skills with experience in AI frameworks (PyTorch, Tensor Flow, JAX), CI/CD pipelines, model monitoring, experiment tracking (MLflow, Weights & Biases)
  • Hands‑on experience with agentic AI frameworks (Lang Chain/Lang Graph, Auto Gen, CrewAI, or similar) and novel agentic AI architectures (perception module, memory system, planning engine, execution layer with tool use, reasoning module, in‑the‑flow agentic system optimization)
  • Strong foundation in distributed systems, cloud platforms (AWS, Azure, GCP), and MLOps
  • Exceptional ability to navigate complex, ambiguous challenges in healthcare contexts
  • Excellent skills in explaining technical concepts to diverse stakeholders across the organization
Preferred Qualifications
  • Experience with systems integrating clinical data, imaging, genomics, and real‑world evidence
  • Contributions to open‑source projects or collaborative research initiatives
What We're Looking For
  • Passion for improving patient lives…
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