Fall 2026 Co-op - AI Solutions Intern (4 months)

Description du poste

Join the CSP GMA AI Innovation team to contribute to the experimentation and development of concrete use cases based on generative AI, agentic AI, and large language models (LLMs). This internship is a unique opportunity to grow in an environment that combines applied research, solution engineering, and strategic innovation.

This role will involve you in the design, experimentation, and structuring of concrete AI solutions, with a focus on business value. You will also contribute to the adaptation and experimentation of an existing agentic AI platform to support operational and business process automation needs, enabling the orchestration of systems capable of reasoning, planning, and autonomously accomplishing complex tasks.

What should I expect?
The co-op internship program is designed to help students enhance their skills and explore their professional interests through hands-on experience and professional mentoring, while also helping them develop core competencies. As an intern, you will have access to:
•Professional development sessions
• A professional development platform
• Networking events with colleagues and leaders
• Mentorship from leaders and peers to help you set and achieve your career goals

Start Date: September
Application Deadline: May 31st,

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.

Vos futures tâches et responsabilités

Agentic AI et orchestration d’agents

• Contribute to the exploration and prototyping of agentic AI and intelligent automation solutions capable of executing complex multi-step tasks.
• Adapt and experiment with agentic AI solutions using an existing platform to automate selected operational processes and tasks, while promoting reusability, orchestration, and experimentation.
• Participate in the analysis of challenges related to supervision, security, traceability, and the limitations of autonomous systems.

Exploration et conception de cas d’utilisation en IA

• Identify and experiment with use cases based on LLMs (assistants, search, automation)
• Contribute to the design of RAG solutions leveraging internal data
• Participate in the evaluation of approaches (response quality, relevance, limitations)

Structuration et création de valeur

• Document use cases, approaches, and results
• Contribute to the creation of reusable frameworks (patterns, best practices)
• Participate in structuring an AI offering (presentations, client cases, demonstrators)

Collaboration

• Work with technical teams to understand implementation constraints
• Communicate and simplify AI concepts for non-technical stakeholders

Exigences

• Undergraduate or master’s student in computer science, software engineering, artificial intelligence, data science, or a related field.
• Strong interest in generative AI, LLMs, intelligent automation, and agentic systems.
• Basic knowledge of software development and concepts related to APIs, integrations, and application workflows.
• Basic knowledge of Python or other relevant programming languages.
• Interest in emerging approaches related to AI agent orchestration and process automation.
• Ability to quickly learn new tools and technology concepts.
• Ability to structure, document, and clearly communicate work completed.
• Initiative, autonomy, and curiosity for innovation.

Atouts supplémentaires

• Familiarity with tools or concepts related to generative AI or AI agents (e.g., LangChain, LangGraph, CrewAI, Semantic Kernel, MCP, or equivalent).
• Knowledge of REST APIs, JSON, or application integrations.
• Participation in academic, personal, or extracurricular projects related to:
  • generative AI,
  • automation,
  • software development,
  • intelligent assistants.

Pourquoi nous rejoindre ?

• 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 generative AI, agentic AI, AI industrialization, and value creation
• Benefit from strong technical mentorship and a learning-oriented culture

Compétences

• Artificial Intelligence