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Tech Talent International is recruiting an AI Application Modernization Architect/Lead for a Montreal-area public sector project. This role focuses on modernizing legacy applications using AI, designing cloud-native architectures, and guiding cross-functional teams through DevSecOps and migrations.
Requirements include 10+ years in architecture, strong cloud and AI expertise, and bilingual English/French. Hybrid work in Montreal with competitive compensation and extensive benefits package.
Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.
We currently have a role as an AI Application Modernization Architect/Lead with our large consulting client, working for a public sector, crown corporationin the Montreal area.
AI Application Modernization Architect/Lead
Permanent or Long Term Contract
Hybrid - Montreal, QC -(2/3 days per week onsite)
Base salary ranges from $140,000 - $160,000 (depending on experience)+ 9% bonus + 4-5 weeks paid vacation + 6% RRSP matching + benefits + sick/personal day + cell phone allowance + discounts for public transit and may other perks
$100 - $120/hr (freelance/incorporated)
English & French
Candidates must be based out of Quebec
This will be a long term project starting in Q4 2026/Q1 2027 , working for a Quebec public sector/crown corporation on application modernization and artificial intelligence integrated into the squads responsible for legacy systems. The work may include the automated analysis of existing code bases and documentation, the mapping of dependencies, the identification of implicit business behaviors, the generation or transformation of components, the production of non-regression tests and assistance with technological or platform migrations. The consultants work together with the functional and technical experts to maintain business knowledge and reduce the risk of regression during the transformation. The objective is to reduce the manual effort associated with reverse engineering, to speed up migrations and to create methods that can be reused by the squads for subsequent waves of modernization.
Design and drive the modernization of legacy applications (Java, .NET, COBOL, RPG, PL/SQL, PowerBuilder, etc.) using generative AI technologies to accelerate analysis, transformation, documentation, testing, and migration to modern architectures.