AI Solution Architect

EQ Bank | Equitable Bank

. Design and document solution architecture artifacts, including component, integration, sequence/data-flow diagrams, and technical design specifications.

Posted 9/15/2026full-timeToronto • CanadaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing solution architecture, particularly in AI and agentic solutions using Microsoft Azure and Google Cloud Platform. Proficient in translating business requirements into technical designs while ensuring compliance with regulatory standards in the banking and financial services sector.

Highest-signal resume keywords

Solution Architecture DesignAI and Agentic Solutions on AzureLangGraph/LangChain FrameworksMicroservices and Cloud-Native ArchitectureBanking and Financial Services Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureIntegration ArchitectureData Solutions DesignAI Data Access PatternsRelational and NoSQL DatabasesEvent-Driven ArchitectureRESTful ServicesTechnical DocumentationRequirements GatheringPrototyping Emerging AI Tools

Soft Skills

Problem-SolvingCommunication Skills

Tools & Technologies

Microsoft AzureGoogle Cloud PlatformAzure AI FoundryGCP Vertex AIMicrosoft FabricAzure SynapsePower BI

Certifications & Qualifications

Microsoft Certified: Azure Solutions Architect ExpertAzure AI Engineer AssociateGoogle Cloud Professional Machine Learning Engineer

Industry Keywords

BankingFinancial ServicesResponsible AIModel GovernanceAI Risk ComplianceOSFI B-13/E-23

Tech Stack

Tools & technologies

AzureBigQueryCloudCyber SecurityGoogle Cloud PlatformMicroservicesNoSQL

About the role

Key responsibilities & impact

Design and document solution architecture artifacts, including component, integration, sequence/data-flow diagrams, and technical design specifications.
Translate business requirements into technical solution designs through requirements-gathering and joint working sessions.
Select technology components, integration patterns, and cloud services while evaluating cost, performance, and maintainability trade-offs.
Present solution designs and technology intake requests to architecture governance forums and incorporate feedback.
Support concurrent priority programs including PCF integration, eCIF, and AML/Risk/Finance/Treasury initiatives.
Design end-to-end AI and agentic solutions using Azure AI Foundry, Azure OpenAI, GCP Vertex AI, RAG patterns, AI gateways, managed identity, token governance, and observability.
Design and implement stateful, multi-step agent workflows using LangGraph/LangChain, including human-in-the-loop and checkpointing patterns.
Design compliant AI data access patterns across Azure Fabric/Synapse and GCP BigQuery.
Partner with AI CoE, Cyber Security, and IAM teams on RBAC/persona models, guardrails, and promotion paths.
Evaluate and prototype emerging AI vendors, models, and tools.
Identify and implement AI/agentic automation opportunities in solution delivery workflows.
Provide technical guidance, consultation, and mentorship to developers, business system analysts, and architects.
Document architecture decisions, processes, standards, solution inventories, and vendor records.
Collaborate with consulting partners and technology vendors on solution delivery and semantic modelling workshops.
Contribute to departmental activities, on-call/production support, and other related tasks.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, or a related field; a post-graduate degree is an asset.
8+ years of progressive IT experience, including at least 5 years designing and delivering solution, application, or integration architecture for specific projects/initiatives, operating as a senior individual contributor without direct reports.
Demonstrated, hands-on experience designing solution architecture — application, integration, and data solutions — for individual business initiatives, including experience moving solutions from design through implementation.
Hands-on experience architecting AI and agentic solutions on Microsoft Azure and/or Google Cloud Platform, including related landing-zone patterns.
Practical experience with modern agent orchestration frameworks, particularly LangGraph/LangChain, and familiarity with MCP and A2A protocols.
Working knowledge of Responsible AI, model governance, and AI risk/compliance considerations, including OSFI B-13/E-23 overlay.
Strong knowledge of microservices, RESTful, event-driven, and cloud-native architecture patterns.
Experience with relational and NoSQL database technologies for transactional and analytical workloads.
Working knowledge of Microsoft Fabric, Synapse, and Power BI.
Experience designing solutions integrating with enterprise data platforms.
Experience in banking or financial services and familiarity with Canadian regulatory expectations strongly preferred.
Preferred certifications: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or equivalent.
Strong problem-solving skills.
Communication skills for technical recommendations, design sessions, governance presentations, and technical documentation.

Benefits

Comp & perks

Hybrid work arrangement
On-call/production support for owned solutions