Sr. Applied AI Scientist – Generative AI & Agentic Systems

Final date to receive applications: 11/29/2026 Address: 100 King Street West Job Family Group:
Data Analytics & Reporting
About the Role  We are seeking a highly motivated Sr. Applied AI Scientist with deep industry experience in Artificial Intelligence, Generative AI, and modern software engineering.

This role offers an opportunity to lead the design, development, evaluation, and validation of enterprise AI solutions while helping shape industry-leading practices for the governance of Generative AI and Agentic AI systems in a highly regulated environment. The successful candidate will join the Model Risk Management group and report to the Director, Generative and Agentic AI Model Validation. This position is well suited for an experienced AI professional who combines strong technical depth, hands-on delivery experience, sound judgment, and the ability to lead complex AI initiatives from concept through implementation and validation.

Key Responsibilities   Lead the validation of Generative AI models and Agentic AI systems across multiple dimensions, including conceptual soundness, output quality, agentic workflow, robustness, and alignment with governance and audit requirements.
Lead research and development of new methodologies, testing approaches, and standards for validating emerging Generative AI technologies.
Architect, design, and build enterprise AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve business processes.
Develop scalable software solutions, AI tools, and automation capabilities using modern AI frameworks and cloud technologies.
Partner with business, technology, risk, and governance stakeholders to define complex problems and translate them into practical, scalable AI solutions.
Design, execute, review, and document quantitative testing and evaluation of AI models and applications, and provide technical guidance to project teams.
Maintain organized project documentation, technical specifications, testing evidence, and validation artifacts to support governance and audit readiness.
Continuously evaluate emerging AI technologies and identify opportunities to improve existing solutions and validation approaches.

Required Qualifications   Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or another relevant STEM discipline.
Minimum five years of industry experience in Artificial Intelligence and Machine Learning, including hands-on experience delivering Generative AI solutions in a production or enterprise environment.
PhD in a relevant discipline is an asset.
Strong programming skills with the ability to develop scalable, well-structured applications.
Familiarity with modern software development practices, including Git, version control, testing, and code reviews.
Understanding of machine learning fundamentals and experience applying quantitative analysis techniques.
Demonstrated hands-on industry experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or related technologies.
Hands-on experience with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is strongly preferred.
Ability to learn new technologies quickly and adapt to a rapidly evolving AI landscape.
Strong analytical thinking, curiosity, and problem-solving skills.
Self-motivated with a strong sense of ownership, attention to detail, and a risk and control mindset.
Inquisitive by nature, willing to challenge assumptions, ask thoughtful questions, and continuously improve existing processes.

Who You Are  We're looking for someone who:
Applies research and critical thinking to unfamiliar…