AI-ML Lead - Agentic AI Systems

SanofiToronto, ON
$158,200 - $208,200Onsite

About The Position

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.

Requirements

  • 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, TensorFlow, JAX), CI/CD pipelines, model monitoring, experiment tracking (MLflow, Weights & Biases)
  • Hands-on experience with agentic AI frameworks (LangChain/LangGraph, AutoGen, 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

Nice To Haves

  • Experience with systems integrating clinical data, imaging, genomics, and real-world evidence
  • Contributions to open-source projects or collaborative research initiatives

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

Benefits

  • Competitive compensation
  • health benefits
  • retirement plans
  • wellness programs
  • Support for conferences, publications, and continuous learning opportunities
  • Access to state-of-the-art computing infrastructure and healthcare datasets
  • Collaborate with leading scientists, researchers, and healthcare experts
  • Opportunity to improve millions of lives through breakthrough AI innovations
  • Flexible work arrangements and commitment to employee wellbeing
  • Join a diverse, inclusive culture spanning 100+ countries
  • Contribute to our commitment to environmental and social responsibility
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