
AI Application Modernization Architect/Lead - Bilingual
Tech Talent International · Montréal, Canada · Hybrid
- Staffing & Recruiting
- 2–10 employees
- Ennismore, ON
Mixed hiring record · median 57 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
- 37% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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 corporation in the Montreal area.
Role
AI Application Modernization Architect/Lead
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.
Skills
- Java
- .NET
- COBOL
- PL/SQL
- Generative AI
- GitHub Copilot
- Azure OpenAI
- OpenAI
- GPT
- Azure
- Azure Kubernetes Service
- AKS
- Azure Functions
- Azure API Management
- Azure DevOps
- GitHub Actions
- Docker
- Kubernetes
- Python
- React
- Angular
- PostgreSQL
- SQL Server
- Cosmos DB
- Terraform
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