AI-ML Lead - Agentic AI Systems

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.

• 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, and 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.

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

• Passion for improving patient lives through innovative AI solutions.
• Commitment to evidence‑based decision making and reproducible research.
• Ability to work effectively across diverse, global teams.
• Comfort with the fast‑paced, regulated healthcare environment.
• Strong commitment to responsible AI development and healthcare ethics.
• Enthusiasm for pushing the boundaries of AI in healthcare applications.
• Sensitivity to global healthcare needs and cultural differences.

Sanofi is an equal opportunity employer committed to diversity and inclusion. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.