AI Solution Architect

Purpose of the Job

The AI Solution Architect is a senior individual-contributor member of the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for initiatives that require AI, agentic, and machine learning capabilities. The role's focus is translating business and technical requirements into concrete, implementable solution designs — application architecture, integration patterns, data flows, and technology selection — for specific programs and projects, rather than setting enterprise-wide architecture strategy or standards.

The incumbent carries a solution architecture caseload alongside their peers, designing AI/agentic solutions that integrate with existing systems across initiatives such as PC Financial (PCF) integration, the Enterprise Customer Information File (eCIF), and AML/Risk/Finance/Treasury delivery. The role partners with Enterprise Architecture, Enterprise Data Governance, the AI Centre of Enablement (AI CoE), and Cyber Security to ensure solutions comply with enterprise standards and are secure, scalable, and fit for purpose — while remaining focused on solving the specific technical problem in front of them rather than owning those enterprise standards.

The role designs AI/agentic solutions primarily on Microsoft Azure, with working exposure to Google Cloud Platform (GCP) where initiatives require it (e.g., Vertex AI / Gemini Enterprise Agent Platform workloads), and applies open-source orchestration frameworks such as LangGraph/LangChain where they are the appropriate tool for the solution.