About this role
Chief AI Architect
Requisition ID: 259472
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
The Chief AI Architect is the most senior architecture authority in AI and Agentic Engineering and the definitive technical voice for enterprise AI solution design across Scotiabank. This role leads the Enterprise AI and Agentic Solution Architecture group, the function responsible for translating Scotiabank's enterprise AI strategy into coherent, governed, production-viable solution architectures that span business lines, platforms, and geographies. The Chief AI Architect does not build the AI platform and does not own feature delivery. They define how AI capabilities are assembled into complete business solutions, establish the architectural standards that govern all AI solution builds across the bank, and ensure that platform investments in AI and ML infrastructure are mapped to enterprise business outcomes with architectural precision. This role operates as a technical peer Head of AI and Agentic Engineering. This is the person the bank turns to when an enterprise AI architecture decision has consequences that outlast any individual program.
What You'll Do
- Define Scotiabank's enterprise AI solution architecture: the canonical reference architectures, solution patterns, and integration blueprints that govern how GenAI, agentic AI, and ML capabilities are assembled and deployed across business lines, customer-facing products, and internal operations at scale.
- Lead the Enterprise AI and Agentic Solution Architecture group. Set architectural direction for the group, build architectural capacity by developing architects from Senior to Principal levels, establish design authority review cadence and criteria, and ensure the group operates as an accelerator for AI solution delivery rather than a governance bottleneck.
- Translate Scotiabank's enterprise AI strategy and business line requirements into architecture-level decisions: platform capability mapping, integration architecture, data architecture dependencies, deployment topology, and the end-to-end solution blueprints that engineering teams implement without ambiguity. Represent Scotiabank