Senior Generative Ai Model Validation Scientist
1 day ago
toronto, ontario, Canada
Bank N.A.
Full-time
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Generative AI model validation leads this senior scientist role at 100 King Street West, applying artificial intelligence and software engineering expertise.
The Senior Applied AI Scientist joins Model Risk Management and reports to the Director, Generative and Agentic AI Model Validation. This role leads enterprise AI solution design, development, evaluation, and validation. It combines Large Language Models, Retrieval-Augmented Generation, AI agents, and governance in a regulated environment.
Key Responsibilities: Validate Generative AI models and Agentic AI systems across multiple dimensions
Develop methodologies, testing approaches, and validation standards
Design quantitative testing and document validation evidence
Partner with risk, technology, business, and governance stakeholders
Evaluate emerging technologies and improve validation approaches
Requirements: Master's degree in a relevant STEM discipline
Minimum five years of industry Artificial Intelligence and Machine Learning experience
Production or enterprise Generative AI delivery experience
Strong programming and scalable application development skills
Experience with LLMs, RAG, AI agents, or related technologies
Apply advanced AI expertise, quantitative evaluation, and sound judgment to validate enterprise Generative AI and Agentic AI systems.
The Senior Applied AI Scientist joins Model Risk Management and reports to the Director, Generative and Agentic AI Model Validation. This role leads enterprise AI solution design, development, evaluation, and validation. It combines Large Language Models, Retrieval-Augmented Generation, AI agents, and governance in a regulated environment.
Key Responsibilities: Validate Generative AI models and Agentic AI systems across multiple dimensions
Develop methodologies, testing approaches, and validation standards
Design quantitative testing and document validation evidence
Partner with risk, technology, business, and governance stakeholders
Evaluate emerging technologies and improve validation approaches
Requirements: Master's degree in a relevant STEM discipline
Minimum five years of industry Artificial Intelligence and Machine Learning experience
Production or enterprise Generative AI delivery experience
Strong programming and scalable application development skills
Experience with LLMs, RAG, AI agents, or related technologies
Apply advanced AI expertise, quantitative evaluation, and sound judgment to validate enterprise Generative AI and Agentic AI systems.