AI Specialist – Platform & Solutions

Position

Description:

Based in Montréal, our organization has been supporting Canadian entrepreneurs for over 40 years by providing integrated cloud solutions in payroll and human capital management. Our mission is to deliver reliable, secure, and pragmatic solutions tailored to the realities of local businesses.

The CGI Payroll Service Center (PSC) is progressively integrating artificial intelligence into its products, internal processes, and services. Our approach is iterative, pragmatic, and value-driven, with a strong focus on concrete use cases and controlled operational deployment.
In this context, the PSC is creating a new role: AI Specialist – Platform & Solutions.
This position is primarily execution- and implementation-oriented, working in close collaboration with IT, data, architecture teams, and CGI AI practices.
It is not a strategic leadership role nor an enterprise architecture position.

Role Summary
Reporting to the Director – Data & AI Governance (IT), the AI Engineer is responsible for the design, implementation, and evolution of a pragmatic and industrializable AI platform.

The role primarily involves:

• developing and integrating AI-based functionalities;

• contributing to the delivery of AI use cases from prototype to production;

• supporting and continuously improving deployed AI solutions.
Responsibility for AI strategy, global architecture, and roadmap definition is not part of this role.

Your future duties and responsibilities:

AI Solution Development and Implementation

• Develop, integrate, and maintain AI functionalities (assistants, document search, extraction, classification, automation) in a context where practices and frameworks are still being built.

• Implement AI use cases while contributing to the establishment of initial technical frameworks, tools, and best practices that are expected to evolve.

• Participate in transforming proofs of concept into production-ready solutions, identifying performance, security, and maintainability considerations.

Contribution to AI Platform Structuring

• Contribute to the definition and evolution of technical standards (integration patterns, conventions, best practices) for a scalable AI platform.

• Document and share learnings from delivered use cases to support architectural and governance decisions.

• Collaborate with architecture, security, and infrastructure teams to align recommendations with organizational directions.
AI Services Integration

• Integrate applications with cloud-based AI services (Azure OpenAI, OpenAI, Azure AI Services, or equivalent).

• Implement integrations through APIs, data flows, and processing pipelines.

• Apply security, access control, and data protection requirements, and raise needs for evolution when required.

Operational Support and Continuous Improvement

• Provide support for deployed AI solutions: monitoring, logging, diagnostics, and issue resolution.

• Contribute to optimizing model usage (costs, quotas, model selection) and propose improvement recommendations.

• Collaborate with Dev Ops and infrastructure teams on deployments and CI/CD pipelines.
Collaboration and Technical Contribution

• Work closely with IT, data, product, and architecture teams to understand needs and deliver iteratively.

• Participate in technical reviews and knowledge-sharing sessions.

• Propose technical improvements constructively, based on experimentation and real-world feedback.

Required qualifications to be successful in this role:

Behavioral Skills

• Results‑oriented mindset with the ability to deliver while managing multiple constraints.

• Autonomy, rigor, and strong sense of priorities.

• Ability to structure and standardize progressively (without over‑engineering).

• Strong communication and simplification skills for both technical and non‑technical audiences.

• Collaborative mindset and ability to work effectively with multiple teams.

Technical Skills

• Intermediate to senior profile: ideally 5+ years of experience in software development/engineering, including significant hands‑on experience applying AI in a production context.

• Proficiency in spoken and written French and English, required for communication with bilingual teams and for…