Chief AI Architect

About the role

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.

Responsibilities

• 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's enterprise AI architecture externally through engagement with OSFI on AI regulatory interpretation, participation in industry architecture forums and standards bodies, and technical community engagements that position Scotiabank's approach and inform the evolution of enterprise AI architecture practice across the financial services sector.

Requirements

12+ years of technology and architecture experience, with at least 5 years as the architecture authority of record for AI, data, or platform initiatives spanning multiple business units in a Tier 1 financial institution or an enterprise of equivalent scale and regulatory complexity.

Deep mastery of enterprise AI solution architecture. You can design complete, end-to-end AI solutions spanning LLM integration, AI architecture, Machine Learning Architecture, MLOPs Architecture, Cloud Architecture, Agentic harnesses, agentic workflow composition, data platform dependencies, API integration topology, and production observability. You have command of the trade-offs introduced at each architectural layer and the judgment to make defensible decisions under ambiguity.

Expertise in enterprise integration architecture as applied to AI: event-driven integration patterns for AI-augmented banking workflows, API management strategy for AI capability exposure, synchronous and asynchronous AI service composition, and the specific requirements for embedding AI into core banking systems with the latency, reliability, idempotency, and audit trail guarantees that regulated financial operations require.

Demonstrated ability to translate regulatory requirements, including OSFI E-23 model risk management, SR 11-7, enterprise AI governance policy, and FINTRAC data obligations, into architecture controls embedded in solution designs at inception, not compliance documentation retrofitted after the fact.

Experience building and leading an architecture function: establishing design authority governance that scales to a large and growing AI solution portfolio, developing architects from Senior to Principal levels, and producing the architectural standards and review processes that allow solution teams to move at delivery speed without sacrificing architectural integrity.

Track record of operating as a technical peer to technology executives: presenting architecture positions to senior leadership, influencing platform and infrastructure investment decisions, and navigating enterprise technology governance in a complex, matrixed financial institution without losing the trust of the engineering teams who build what you design.

Qualifications

12+ years of technology and architecture experience, with at least 5 years as the architecture authority of record for AI, data, or platform initiatives spanning multiple business units in a Tier 1 financial institution or an enterprise of equivalent scale and regulatory complexity.

Deep mastery of enterprise AI solution architecture. You can design complete, end-to-end AI solutions spanning LLM integration, AI architecture, Machine Learning Architecture, MLOPs Architecture, Cloud Architecture, Agentic harnesses, agentic workflow composition, data platform dependencies, API integration topology, and production observability. You have command of the trade-offs introduced at each architectural layer and the judgment to make defensible decisions under ambiguity.

Expertise in enterprise integration architecture as applied to AI: event-driven integration patterns for AI-augmented banking workflows, API management strategy for AI capability exposure, synchronous and asynchronous AI service composition, and the specific requirements for embedding AI into core banking systems with the latency, reliability, idempotency, and audit trail guarantees that regulated financial operations require.

Demonstrated ability to translate regulatory requirements, including OSFI E-23 model risk management, SR 11-7, enterprise AI governance policy, and FINTRAC data obligations, into architecture controls embedded in solution designs at inception, not compliance documentation retrofitted after the fact.

Experience building and leading an architecture function: establishing design authority governance that scales to a large and growing AI solution portfolio, developing architects from Senior to Principal levels, and producing the architectural standards and review processes that allow solution teams to move at delivery speed without sacrificing architectural integrity.

Track record of operating as a technical peer to technology executives: presenting architecture positions to senior leadership, influencing platform and infrastructure investment decisions, and navigating enterprise technology governance in a complex, matrixed financial institution without losing the trust of the engineering teams who build what you design.

Skills

Deep mastery of enterprise AI solution architecture, expertise in enterprise integration architecture as applied to AI, demonstrated ability to translate regulatory requirements into architecture controls, experience building and leading an architecture function, track record of operating as a technical peer to technology executives.

Benefits

Not specified

Pay

Not specified

Schedule

Not specified