Senior Principal Architect, Enterprise Architecture- Artificial Intelligence

Title:

Senior Principal Architect, Enterprise Architecture - Artificial Intelligence

Requisition

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

The Enterprise Architecture team is pivotal in defining the technological and structural direction of the organization. Their mandate includes designing, developing, governing, and driving the global technology strategy for the Bank.

As a Senior Principal Architect with AI Competency, you will define and lead the enterprise AI architecture strategy, establishing how AI capabilities are designed, governed, and scaled across the enterprise with Enterprise AI and Data platform team’s collaboration. You will ensure that AI systems — including generative and agentic AI — are architected for security, transparency, and resilience. Acting as a trusted advisor to executives and governance bodies, you will influence how Scotiabank integrates AI into its fabric responsibly, ethically, and efficiently.

This role bridges technology innovation with governance, defining the standards and frameworks that allow the organization to innovate with confidence in an AI‑driven world.

• Strategy Development
  • Partner with Global AI team to define and lead the enterprise AI architecture strategy, aligning intelligent automation, generative AI, and responsible AI principles with the organization’s business and technology vision.
  • Participate in the enterprise AI foundation, including governance, architecture patterns, lifecycle management, and model assurance frameworks.
  • Develop the AI assurance and governance charter, ensuring transparency, auditability, and continuous compliance across all models, pipelines, and decision systems.
  • Partner with Data, security, risk, and engineering teams to embed AI‑driven resiliency, observability, and threat modeling into architecture standards.
  • Evaluate, rationalize, and standardize AI platforms and tools for scalability, cost efficiency, and compliance alignment.
• Transformational Leadership
  • Architect agentic AI ecosystems – environments where autonomous agents collaborate safely within enterprise boundaries while maintaining traceability and control.
  • Design secure, resilient, and compliant AI platforms that integrate with existing enterprise systems, ensuring alignment with risk, ethics, and regulatory frameworks.
  • Partner with Global AI team to Champion responsible AI adoption, embedding ethical guardrails, explainability, and human oversight throughout the AI lifecycle.
  • Drive architectural patterns and reference implementations for AI observability, versioning, and lifecycle automation (MLOps).
  • Collaborate with Cloud, Data, Security, and Integration architects to operationalize AI workloads seamlessly across hybrid and multi‑cloud environments.
• Executive Presence & Influence
  • Serve as a strategic advisor to C‑suite and board‑level executives, translating AI strategies into measurable business outcomes and investment priorities.
  • Demonstrate strong executive presence in governance forums, influencing enterprise policy, risk posture, and technology direction.
  • Lead with thought leadership and clarity, simplifying complex AI, ethics, and security topics to drive informed decision‑making.
  • Represent Enterprise Architecture in AI governance councils, compliance boards, and risk committees, providing authoritative direction on AI assurance and safety.
  • Build strategic partnerships across business, risk, and regulatory domains, ensuring AI adoption aligns with corporate values and industry ethics.
  • Inspire and mentor teams across architecture and engineering disciplines, cultivating a culture of innovation, responsibility, and trust in AI adoption.
• Stakeholder Management
  • Present and communicate with CTO, engineering heads and other senior leaders on an ongoing basis to gather feedback, report progress and solve issues.
  • Work closely with technical teams and SMEs to ensure technology initiatives are delivered on time, within budget forecasts and deliver value identified at inception.
  • Work closely with non‑technology teams including business lines, HR, Finance and Risk to ensure technology initiatives…