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Sanofi

AI-ML Lead - Agentic AI Systems

Posted 4 Hours Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.
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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, 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

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 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

Our Values in Action
  • Aim Higher: Push the boundaries of what's possible in AI and healthcare

  • Act for Patients: Keep patient needs at the center of every innovation

  • Be Bold: Take calculated risks to achieve breakthrough results

  • Lead Together: Foster collaboration across disciplines and cultures

How to Apply

Please submit your resume, and links to relevant publications, GitHub repositories, or portfolio projects demonstrating your leadership experience in AI/ML systems.

Why Choose Us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

  • Meaningful Impact: Opportunity to improve millions of lives through breakthrough AI innovations

  • World-Class Environment: Collaborate with leading scientists, researchers, and healthcare experts

  • Cutting-Edge Resources: Access to state-of-the-art computing infrastructure and healthcare datasets

  • Professional Growth: Support for conferences, publications, and continuous learning opportunities

  • Comprehensive Benefits: Competitive compensation, health benefits, retirement plans, and wellness programs

  • Work-Life Integration: Flexible work arrangements and commitment to employee wellbeing

  • Global Community: Join a diverse, inclusive culture spanning 100+ countries

  • Sustainability Focus: Contribute to our commitment to environmental and social responsibility

Applications received after the official close date will be reviewed on an individual basis.

This position is for a new vacant role that is now open for applications.
 

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.
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.

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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

158,200.00 - 208,200.00 (Includes target bonus)

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:

158,200.00 - 208,200.00 (Comprend le bonus cible)

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien

Top Skills

Python,Pytorch,Tensorflow,Jax,Ci/Cd,Model Monitoring,Mlflow,Weights & Biases,Langchain,Langgraph,Autogen,Crewai,Large Language Models,Transformers,Distributed Systems,Aws,Azure,Gcp,Mlops

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