Head, AI & Agentic Engineering

 

 

 

Requisition ID: 255610

 Salary Range:  -  

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

Purpose

 

The Head of AI and Agentic Engineering leads the design, delivery, and enterprise-wide adoption of the full spectrum of applied AI capabilities at Scotiabank: generative AI, agentic workflows, machine learning, and decision science. This role is responsible for translating these capabilities into production-grade solutions that create measurable business value across Scotiabank’s global business lines. Working in close partnership with business unit technology leaders, enterprise AI and data teams, and strategic industry partners, this leader ensures that AI and ML solutions are production-ready, explainable, governed, and aligned with Scotiabank’s strategic priorities.

What You'll Do

 

• Lead and grow a high-performing, multidisciplinary team of AI engineers, ML engineers, data scientists, full-stack developers, and solution architects to deliver production-grade AI, ML, and decision science solutions at enterprise scale.
• Define and execute the enterprise AI solutions roadmap, translating business priorities across Scotiabank’s business lines into concrete AI capabilities and measurable outcomes.
• Partner with business unit technology leaders across CB, IB, GTB, GBM, Wealth, and other business lines and corporate functions to identify, prioritize, and deliver high-impact AI use cases.
• Design and deliver predictive and prescriptive ML and decision science solutions, spanning credit risk modeling, customer propensity and attrition prediction, fraud and financial crime detection, next-best-action optimization, and financial forecasting, ensuring production quality, model explainability, performance monitoring, and full model lifecycle governance across all business lines.
• Drive enterprise-wide adoption of the full AI and ML capability stack, including generative AI, agentic workflows, ML-powered decision automation, and decision science frameworks, building education programs, best practices, and enabling frameworks for both business and technology teams.
• Manage strategic industry partnerships with AI ecosystem partners, academic institutions, and technology vendors to bring leading-edge capabilities into Scotiabank.
• Represent Scotiabank at industry conferences, panels, and academic forums to elevate the bank’s global AI profile and strengthen its ranking as a leading AI-enabled financial institution.
• Drive intellectual property development by contributing to AI-related patents, positioning Scotiabank as an innovator and protecting proprietary AI methodologies and solutions.
• Collaborate with the AI Platform and enterprise architecture teams to consume shared infrastructure, ensuring solutions align with enterprise patterns and governance frameworks without duplicating platform capabilities.
• In advance of a dedicated AI Platform VP hire, take interim stewardship of the enterprise AI Platform, advancing its foundational capabilities, architecture, and adoption to ensure it is fit for purpose for enterprise-wide AI solutions delivery. Transition platform ownership cleanly and completely to the incoming VP upon their appointment.
• Co-shape and contribute to the evolution of enterprise AI and model risk governance standards, including Scotiabank’s AI Risk Management Guidelines, ML model validation frameworks, and OSFI regulatory alignment, while ensuring all AI, ML, and decision science solutions are built, validated, and deployed in full compliance.
• Contribute practitioner insights to the enterprise AI strategy, informing platform investment decisions, governance evolution, and executive roadmaps.
• Champion secure, compliant AI development practices and foster a culture of engineering excellence across the team.
• Mentor senior engineers and technical leads, building organizational capability and career growth pathways within the AI solutions practice.
• Champion a high-performance, inclusive work environment that attracts and retains top AI engi