AI Application Modernization Architect/Lead- Bilingual

Montréal, QC
Hybrid
Posted Oct 16, 2026
1 position

$140,000–$160,000 / year

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Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead the modernization of legacy applications using generative AI to accelerate code analysis, documentation, transformation, testing, and migration. Define target cloud and microservices architectures, guide modernization teams, ensure deliverable quality, and support customer teams adopting new environments and DevSecOps practices.

Job details

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- Bilingual with our large consulting client, working for a public sector, crown corporation in the Montreal area. Role: AI Application Modernization Architect/Lead- Bilingual Type: Permanent or Long Term Contract Location: Hybrid - Montreal, QC -(2/3 days per week onsite) Salary: 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 Contract Pay Rate: $100 - $120/hr (freelance/incorporated) Language Requirements: English & French Key Info: Candidates must be based out of Quebec Project Overview 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. Job Description 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. Responsibilities Evaluate existing applications and define the modernization strategy. Design target cloud and microservices architectures. Use AI platforms for code analysis, documentation generation, conversion, and development acceleration. Supervise the modernization teams and ensure the quality of the deliverables. Implement DevSecOps and CI/CD practices. Support customer teams in the adoption of new environments. Sought-after technology stack GitHub Copilot Enterprise GitHub Copilot Workspace Azure OpenAI OpenAI GPT-5 / o-series Microsoft Azure Azure Kubernetes Service (AKS) Azure Functions Azure API Management Azure DevOps GitHub Actions Docker / Kubernetes Java, .NET, Python React / Angular PostgreSQL, SQL Server, Cosmos DB Terraform / Infrastructure as Code Desired experience 10+ years in architecture or application modernization. Demonstrated experience in migrating or transforming critical systems. In-depth knowledge of Cloud Native practices and AI applied to software development.

What you’ll do

Requirements

Requires 10+ years of experience in architecture or application modernization, with demonstrated experience migrating or transforming critical systems. Candidates should have in-depth knowledge of cloud-native practices and AI applied to software development, and be bilingual in English and French; candidates must be based in Quebec.