AI Solution Architect / Partner (Banking)

Job summary

The AI Solution Architect will lead a cross-functional team to design and deliver AI-native capabilities for commercial banking applications. They will serve as the primary point of contact for the client, ensuring high-quality delivery and alignment with business needs.

Job details

Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a AI Solution Architect / Partner (Banking) a long-term opportunity at 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 (Banking) 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 banking personas (e.g., CRM, credit/lending platforms, servicing tools, data/reporting systems). 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 professional services delivery Thanks and Regards, Raghav Ranjan Iris Software / SSA Infosystems Inc Royal Bank Plaza – North Tower 200 Bay Str. Toronto, ON, M5J 2J2 Email: raghav.ranjan@irissoftware.com www.irissoftware.com

What you’ll do

The AI Solution Architect will lead a cross-functional team to design and deliver AI-native capabilities for commercial banking applications. They will serve as the primary point of contact for the client, ensuring high-quality delivery and alignment with business needs.

Requirements

Candidates must have a strong background in commercial banking workflows and technical architecture, including experience with AI/ML-enabled product development. Proven leadership skills and the ability to manage complex stakeholder relationships are essential for this role.

Listed skills

• Machine learning · Preferred
• Team Leadership · Preferred
• Business analysis · Preferred
• Stakeholder Management · Preferred
• CRM · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Solution Architecture
• Commercial Banking
• Corporate Banking
• Team Leadership
• Stakeholder Management
• CRM
• Credit/Lending Platforms
• Data Integration
• Application Design
• Machine Learning
• Project Lifecycle Management
• Technical Architecture
• Business Analysis
• Consulting
• QA Management

Job areas

• Technology
• Finance & Accounting
• Management & Leadership
• Consulting
• Software