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Cloud Data Platform Architect – GenAI Adoption


Job Location:

Toronto - Canada

Monthly Salary: K 10 - 10
Experience Required: 5years
Posted: 28 August 2026 (5 days ago)
Application Deadline: 25 November 2026
Vacancies: 1 Vacancy

Job Summary

Architect Cloud Data & AI

Experience Required: 8-10 yrs
Toronto ON - Hybrid (4 Days WFO)

The Architect is responsible for designing governing and evolving enterprise-scale technology platforms that are secure scalable and aligned with business strategy. The role partners closely with engineering data security and product teams to translate complex requirements into practical future-proof architectures.

Key Responsibilities

Defining cloud and platform architecture standards patterns and guardrails.
Leading the design and adoption of modern data and AI platforms including GenAI capabilities.
Ensuring security compliance and operational excellence are embedded from design through production.
Providing architectural leadership across initiatives mentoring teams and influencing technical roadmaps.
Acting as a technical authority to unblock delivery reduce risk and accelerate innovation across the organization.


Required Skills:

Top 3 Required Skills: 1. IBM Financial transaction 2. Payment flow 3. Support Modernization Detailed Job Description: Design develop and maintain applications built on IBM Financial Transaction Manager (FTM) to support core payments processing. Contribute to the development of payment flows supporting transaction processing. Build and support integrations between FTM and upstream/downstream systems using enterprise integration patterns. Participate in the design development testing deployment and production support. Troubleshoot and resolve application and integration issues in a complex regulated environment. Collaborate with architecture QA and operations teams to ensure platform stability scalability and performance. Support modernization initiatives and enhancements to existing payment hub capabilities. Produce clear technical documentation and participate in code reviews and knowledge sharing.