Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a

AI Solution Architect / Partner

a long-term opportunityat

Toronto, ON (Hybrid).

Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.

Position: AI Solution Architect / Partner Location: Toronto, ON (Hybrid) Duration: Long Term (12+ Months) About the Role

Iris is seeking an experienced Lead to represent Iris and lead our delivery team on a client

initiative focused on building modern, AI-first capabilities for Commercial and Corporate

Banking. This role will drive the design, architecture, development, and testing of solutions

that integrate with existing applications, services, and data to simplify and elevate the

experience for key personas such as Relationship Managers (RMs).

This is a client-facing leadership role requiring both strong technical acumen and deep

familiarity with the commercial banking domain.

What You'll Do

Serve as the primary Iris representative and point of contact for the client initiative.

Lead a cross-functional Iris team spanning architecture, design,



development, and QA.

Translate business and user needs (of RMs and related personas) into AI-native product

capabilities.

Guide technical architecture and integration decisions across existing banking applications,

services, and data sources.

Own delivery quality, timelines, and stakeholder communication throughout the project lifecycle.

Partner with client stakeholders to shape roadmap, priorities, and success metrics.

What We're Looking For

Strong understanding of the Commercial/Corporate Banking domain, including typical RM

workflows, tools, and pain points.

Experience with, or exposure to, the capabilities and systems commonly used by commercial

Solid technical background across architecture, application design, and development (hands-on

or hands-on-adjacent), with working knowledge of AI/ML-enabled product capabilities.

Proven experience leading technical teams through full project lifecycles (discovery through

delivery).

Excellent client-facing communication and stakeholder management skills.

Comfort operating in ambiguity and driving structure/clarity for a team and client.

Nice to Have

Prior experience with AI-native or AI-assisted product builds.

Experience integrating with legacy or enterprise banking systems.

Background in consulting or qualified services delivery

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📌 Sr SDET Gen AI Engineer (Winnipeg)
🏢 Iris Software
📍 Winnipeg