Winter 2027 Co-op AI Development and Analysis (8 months)

Join the PSC GMA AI Innovation team to contribute to the experimentation analysis and development of concrete solutions based on generative artificial intelligence LLMs and agentic AI approaches. This internship is a unique opportunity to grow in an environment that combines applied research software development solution engineering and innovation.
You will contribute to the evolution of AI solutions from experimentation through the implementation of functional prototypes with a focus on technical quality business value and reusability. You will work on different types of solutions including AI assistants document search and RAG solutions intelligent automation and agentic AI systems.

Perks of being a CGI Co-op:

The co-op program was designed to help students improve their skills and explore their professional interests through hands-on experience and professional guidance while also helping them develop core competencies. As an intern you have access to:

Professional development sessions
Professional development platform
Networking events with colleagues and leaders
Mentorship from leaders and colleagues aimed at setting and achieving your career goals

Start Date: January 2027
Application Deadline: September 28th 2026

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level geographic market experience and training and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $18-32/hour. This role is an existing vacancy.

AI Solution Development and Integration
Develop AI components and prototypes using programming languages and tools suited to project needs.
Participate in the integration of AI solutions with applications APIs data sources and AI services.
Contribute to the development of LLM-based solutions including assistants document search solutions RAG pipelines and intelligent automation.
Participate in adapting and experimenting with agentic AI solutions using existing platforms and components.

AI Analysis and Experimentation
Analyze different use cases and evaluate the technology approaches best suited to the needs.
Experiment with different approaches related to LLMs RAG AI agents and automation.
Participate in evaluating solutions based on different criteria: quality relevance performance cost security and maintainability.
Contribute to identifying the limitations risks and opportunities for improvement of the solutions being tested.

Industrialization and Best Practices
Contribute to transforming prototypes into structured and reusable solutions.
Participate in establishing best practices for development testing documentation and version control.
Document the work completed technical decisions results and lessons learned.
Contribute to creating reusable components templates or approaches to accelerate future AI projects.

Collaboration
Work with AI IT data architecture and other stakeholders to understand requirements and implementation constraints.
Participate in technical reviews demonstrations and knowledge sharing.
Clearly communicate experimentation results and explain AI concepts in an accessible way to technical and non-technical stakeholders.

Student nearing completion of a bachelors degree or currently pursuing a masters degree in computer science software engineering artificial intelligence data science or a related field.
Strong interest in generative artificial intelligence LLMs software development and intelligent automation.
Basic or intermediate knowledge of at least one relevant programming language including Python Java JavaScript TypeScript or equivalent.
Basic knowledge of concepts related to APIs application integrations databases or data processing.
Interest in emerging approaches related to RAG agentic AI agent orchestration and process automation.
Ability to analyze a problem explore different approaches and make recommendations.
Ability to quickly learn new tools technologies and environments.
Ability to structure document and clearly communicate work.
Initiative autonomy rigor and curiosity for innovation.

Additional Assets
Familiarity with generative AI and agentic AI tools or frameworks (e.g. LangChain LangGraph LlamaIndex Semantic Kernel CrewAI MCP or equivalent).
Experience with REST APIs JSON Git or collaborative development environments.
Knowledge of Docker CI/CD pipelines or DevOps practices.
Experience with databases vector databases or document search tools.
Knowledge of or experience with cloud-based AI services or AI platforms.
Participation in academic personal or extracurricular projects related to AI software development automation or intelligent assistants.

Why Join Us
Join a dynamic team at the heart of AI innovation.
Work on high-impact hands-on projects in a collaborative environment.
Develop your skills in software development generative AI agentic AI and AI solution industrialization.
Explore emerging technologies while working on concrete business needs.
Benefit from strong technical mentorship and a learning-oriented culture.

Good written and verbal proficiency in French is required for this position.

• Java
• JavaScript
• Python
• Typescript

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That same commitment to fairness extends to how we use technology. To support our recruitment team AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

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