AI Solution Architect

About Workana Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe. About the Client Our client is a leading Canadian financial institution seeking a senior AI Solution Architect to join its Solutions Architecture team. The organization is expanding its digital capabilities, integrating strategic business systems, and executing advanced machine learning, risk, and financial delivery programs. This is a hybrid opportunity for professionals based in Toronto, Ontario. Role Overview As an AI Solution Architect , you will serve as a senior individual contributor responsible for designing, documenting, and delivering solution-level architecture for initiatives requiring AI, agentic workflows, and machine learning. You will translate business and technical requirements into implementable solution designs—including application architecture, integration patterns, data flows, and cloud technology selection—for key initiatives across integration, customer data, risk, and finance programs. You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner with Enterprise Architecture, Security, and Governance teams to ensure designs align with enterprise security, RBAC, and risk standards while focusing on solving specific program challenges. Selection Process The process usually consists of 3 stages and takes on average 4 weeks to be completed, depending on eventual additional technical rounds or take-home tests. Initial interview with Workana's recruiting team; Cultural fit interview with the client; Final interview with C-level. As Workana has multiple clients, if you pass the first round with Workana's recruiting team, you may also be considered for other relevant opportunities if the initial opportunity does not move forward. Responsibilities Design and document comprehensive solution architecture artifacts, including component, integration, sequence, and data-flow diagrams. Architect end-to-end AI and agentic solutions using modern ecosystems (e.g., LangGraph , LangChain , LangSmith , Azure AI Foundry , Vertex AI ). Translate business requirements into concrete solution designs through collaborative working sessions with business analysts, developers, and product owners. Select appropriate technology components and integration patterns (API, event-driven, batch) while balancing performance, cost, and maintainability. Present architecture designs and intake requests to governance forums and review boards for technical approval. Establish agentic workflow patterns, network isolation, private endpoints, managed identities, token governance, and observability for AI workloads. Design data access and integration patterns across cloud data platforms ( Azure Fabric/Synapse…