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Senior Solution Architect - Financial Services

Microsoft· Solution Architecture
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CanadaCA$172.2k - CA$334kfull-timePosted 1w ago

About the role

Senior Solution Architect in ISD Canada leading strategic customer engagements with a focus on financial services, blending hands-on engineering with architecture leadership to deliver secure, reliable, and measurable outcomes. Includes AI usage planning, governance, and end-to-end solution delivery across Toronto and Canadian market.

Responsibilities

  • - Engage executives to understand business priorities, establish baseline performance and define measurable outcomes and success criteria that guide architecture and investment decisions.
  • - Translate business requirements into actionable solution architecture, applying financial-services workflow, data and risk fluency to the customer’s operating context before recommending products or platforms.
  • - Challenge assumptions, frame ambiguous problems and make explicit cost, reliability and speed tradeoffs. Decide with incomplete data, control scope and say no when a proposed approach, including AI, is not justified.
  • - Develop clear, decision-oriented proposals for executive audiences that explain options, dependencies, risks and the recommended path in terms of business outcomes.
  • - Serve as Lead Architect and accountable technical authority on complex engagements, aligning design decisions and hands-on technical direction with customer outcomes.
  • - Lead and mentor multidisciplinary teams through trust, candor and shared ownership.
  • - Govern human and AI-assisted teams, including agent orchestration, context, retrieval and memory. Define action authority, authorization boundaries, blast radius, human approvals and auditability.
  • - Partner with Program Directors and Project Managers to maintain technical governance, delivery quality and transparent management of scope, dependencies and risks.
  • - Strengthen the architecture community through reusable patterns, mentoring and capability transfer.
  • - Establish and execute an AI Usage Plan for each significant engagement as a practical operating plan, defining measurable benefits, accountable owners, appropriate use cases, verification responsibilities and guardrails.
  • - Use AI across requirements, code, tests, documentation and architecture with human review and verification.
  • - Deliver the smallest viable working slice early, demonstrate value with customer validation and iterate based on evidence.
  • - Measure cycle time, quality, cost and business value against the engagement baseline and adapt accordingly.
  • - Maintain engineering discipline through architecture documentation, design reviews, code review, testing, CI/CD and operational readiness.
  • - Conduct solution reviews addressing security, reliability and maintainability, including AI evaluations and authorization controls.
  • - Identify risks proactively and establish evidence-based release criteria; lead production go/no-go decisions.
  • - Promote shared engineering accountability and surface limitations early while working with delivery teams to resolve issues.
  • - Create and maintain reusable architectures, accelerators and frameworks for adoption by other teams.
  • - Apply broad Microsoft solution capability across Data & Analytics, AI & ML, Application Development and Cloud Infrastructure to shape end-to-end customer solutions.
  • - Integrate data, applications, infrastructure, identity and security with clear interfaces and ownership.
  • - Maintain depth in two to three domains while providing full-stack architectural guidance and hands-on validation through code, prototypes, tests and demos.
  • - Collaborate with specialists, product teams and customer engineers to resolve complex issues and transfer capability.
  • - Shape strategic Toronto/Canada FSI opportunities and drive cloud solutions aligned with customer and Microsoft strategy.
  • - Deliver Business and Operational Excellence including adoption, realized value and customer capability transfer.

Qualifications

  • - Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 10+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience.
  • - 4+ years managing multiple, complex projects or portfolios.
  • - 2+ years experience leading blended, multidisciplinary teams.

Skills

Required:Executive stakeholder engagementFull-stack architectural leadershipAI governance and usage planning
Last updated Oct 16, 2026. Interested? Apply on the company site.

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