Director, AI Platform

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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.

Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

The Director, AI Platform, is a senior engineering leader responsible for defining, building, and scaling the enterprise AI platform that enables safe, governed, and reusable AI capabilities across the organization. This role will lead the delivery of platform services that accelerate AI adoption, improve developer productivity, and ensure AI solutions are deployed with the reliability, security, observability, and controls required in a highly regulated environment.

You will partner with senior technology, data, risk, security, and business leaders to drive the AI platform roadmap, engineering execution, and enterprise adoption of core AI capabilities including model enablement, agentic AI services, orchestration, evaluation, monitoring, guardrails, prompt and context management, integration patterns, and responsible AI controls.

• Define and deliver the enterprise AI platform strategy, roadmap, and engineering execution model aligned to business priorities, technology standards, and responsible AI requirements.
• Build reusable platform capabilities that enable teams to develop, test, deploy, and operate AI solutions consistently and securely across the enterprise.
• Establish scalable frameworks for:
  • Model, foundation model, and large language model enablement
  • Agentic AI orchestration, workflow automation, and tool integration
  • Prompt, context, retrieval, and knowledge grounding services
  • Reusable APIs, SDKs, templates, and reference patterns for AI engineering teams
• Implement enterprise-grade AI platform controls including:
  • Secure access, identity, entitlement, and policy enforcement for AI services
  • Responsible AI guardrails, safety patterns, evaluation gates, and human-in-the-loop controls
  • Auditability, traceability, model usage tracking, and evidence generation
• Lead high-performing platform engineering teams, setting clear technical direction, delivery standards, and operating rhythms.
• Partner with application, data, cloud, cyber, risk, and architecture teams to embed AI platform capabilities into enterprise delivery workflows.
• Ensure the AI platform supports regulated use cases by design, with controls integrated into engineering pipelines rather than applied as…