Job opportunity
Agentic AI Model Validation Scientist
BMO
Shape Agentic AI governance and validation at BMO Financial Group from 100 King Street West. Bring strong analytical thinking and modern AI expertise.
This Senior Applied AI Scientist sits in the Model Risk Management group, reporting to the Director, Generative and Agentic AI Model Validation. You will evaluate enterprise AI systems for conceptual soundness, output quality, workflow performance, robustness, governance, and audit alignment. The work requires hands-on experience with Generative AI, AI agents, quantitative testing, and software development.
Key Responsibilities:
Lead validation of Agentic AI systems and Generative AI models
Evaluate robustness, output quality, workflows, and governance alignment
Design quantitative testing and evaluation for models and applications
Provide technical guidance to project teams and stakeholders
Assess emerging technologies and improve validation approaches
Requirements:
Master's degree in Computer Science or related STEM discipline
Minimum five years of Artificial Intelligence and Machine Learning experience
Strong understanding of machine learning fundamentals and quantitative analysis
Advanced coding skills in production or enterprise environments
Risk and control mindset with strong problem-solving skills
Bring critical thinking, AI validation expertise, coding ability, and risk judgment to BMO's evolving enterprise AI governance.
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Apply on source site This Senior Applied AI Scientist sits in the Model Risk Management group, reporting to the Director, Generative and Agentic AI Model Validation. You will evaluate enterprise AI systems for conceptual soundness, output quality, workflow performance, robustness, governance, and audit alignment. The work requires hands-on experience with Generative AI, AI agents, quantitative testing, and software development.
Key Responsibilities:
Lead validation of Agentic AI systems and Generative AI models
Evaluate robustness, output quality, workflows, and governance alignment
Design quantitative testing and evaluation for models and applications
Provide technical guidance to project teams and stakeholders
Assess emerging technologies and improve validation approaches
Requirements:
Master's degree in Computer Science or related STEM discipline
Minimum five years of Artificial Intelligence and Machine Learning experience
Strong understanding of machine learning fundamentals and quantitative analysis
Advanced coding skills in production or enterprise environments
Risk and control mindset with strong problem-solving skills
Bring critical thinking, AI validation expertise, coding ability, and risk judgment to BMO's evolving enterprise AI governance.
#J-18808-Ljbffr