Associate Principal 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 Lang Graph/Lang Chain where they are the appropriate tool for the solution.

• Design and document solution architecture artifacts — component diagrams, integration diagrams, sequence/data-flow diagrams, and technical design specifications — for assigned initiatives, ensuring designs are implementable, secure, and aligned to approved enterprise standards.
• Translate business requirements into technical solution designs through requirements‑gathering sessions and joint working sessions with business analysts, developers, and product owners.
• Select appropriate technology components, integration patterns (API, event‑driven, batch), and cloud services to meet solution requirements, evaluating trade‑offs between cost, performance, and maintainability.
• Present solution designs and technology intake requests to governance forums (e.g., Technical Review Body/Guild, Architecture Design Authority) for review and approval, incorporating feedback into final designs.
• Support delivery across concurrent priority programs — including PCF integration, eCIF, and AML/Risk/Finance/Treasury initiatives — acting as the named solution architect accountable for the technical design of assigned work packages.

• Design and document end‑to‑end solution architecture for AI/agentic use cases (e.g., coded agents built with Lang Graph/Lang Chain, Azure AI Foundry‑hosted agents, GCP Vertex AI Agent Builder/Agent Engine‑hosted agents, RAG patterns, APIM or Apigee AI gateways), including component design, network isolation, private endpoints, managed identity authentication, token governance, and observability.
• Design and implement stateful, multi‑step agent workflows using the Lang Graph/Lang Chain ecosystem (Lang Graph for graph‑based orchestration and durable execution, Lang Chain for tool/retriever/memory components, Lang Smith for tracing and evaluation), applying human‑in‑the‑loop and checkpointing patterns for production reliability.
• Design data access patterns for AI solutions (sources, ingestion, storage) that comply with enterprise data architecture standards, working with the Enterprise Data & Analytics team to validate…