Senior Solution Architect - Financial Services

Role overview

Business outcome-led architecture

• Engage executives to understand business priorities, establish baseline performance, and define measurable outcomes.
• Translate requirements into architecture grounded in customer workflows, data, and risk before recommending products or platforms.
• Make explicit cost, reliability, and speed tradeoffs; manage ambiguity, control scope, and reject unjustified approaches, including AI.
• Prepare executive proposals that explain options, dependencies, risks, and recommendations in business terms.

Technical and AI leadership

• Act as Lead Architect and accountable technical authority on complex engagements.
• Lead and mentor multidisciplinary teams, establish clear responsibilities, and encourage constructive technical challenge.
• Govern AI-assisted teams, defining orchestration, context, retrieval, memory, action authority, authorization boundaries, blast radius, approvals, and auditability.
• Partner with program and project managers on technical governance, delivery quality, scope, dependencies, and risk.
• Build reusable patterns, mentor colleagues, and transfer capabilities to customer and delivery teams.

AI-powered delivery

• Create and execute a practical AI Usage Plan for each significant engagement, with measurable benefits, owners, use cases, verification responsibilities, and guardrails.
• Apply AI to requirements, code, tests, documentation, and architecture with human review and verification appropriate to the work.
• Deliver early working solutions, demonstrate progress, and validate results with customers.

Location

• The position is based in the Greater Toronto Area. The description does not specify a remote, hybrid, or onsite work policy.

About the practice

Requirements

• Lead strategic customer engagements in the Greater Toronto Area, with a particular focus on financial services.
• Bring financial-services workflow, data, and risk fluency to architecture decisions before recommending products or platforms.
• Combine strategic architecture leadership with hands-on engineering and full-stack depth.
• Guide multidisciplinary teams and validate critical design choices in working solutions.
• Use sound judgment to frame ambiguous problems, make explicit tradeoffs, control scope, and decide responsibly with incomplete information.
• Establish human accountability, authorization boundaries, approval controls, and auditability for AI-assisted work.
• Define measurable benefits, accountable owners, verification responsibilities, and guardrails in an AI Usage Plan for significant engagements.