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

CGI


Job Location:

Montreal - Canada

Hourly Salary: $ 18 - 32
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Position Description:

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 2026
Application Deadline: May 31st 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.

Your future duties and responsibilities:

Agentic AI and Agent Orchestration
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 and Design of AI Use Cases
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)

Structuring and Value Creation
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

Required qualifications to be successful in this role:

Undergraduate or masters 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.

Additional Assets
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:
ogenerative AI
oautomation
osoftware development
ointelligent assistants.
Fluency in French written and spoken

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

Skills:

  • CrewAI
  • JSON (WS)
  • LangChain
  • Python

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer being able to perform your best during the recruitment process is important to us. If you require an accommodation please inform your recruiter.

To learn more about accessibility at CGI contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our teamone of the largest IT and business consulting services firms in the world.


Required Experience:

Intern

Position Description: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 sol...

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