Start Date: January 2027

Work Term Length: 4 months

Application Deadline: October 2nd, 2026

The WiSE (women in STEM excel) co-op program accelerates the development of future women leaders by providing a customized experience for participants:

- Exposure to leaders through interactive sessions and a 1:1 mentorship with a CGI woman leader
- Obtain the ScaledAgile SAFe for Teams Certification: Technical Skills Agility (ScaledAgile) SAFe for Teams will teach you all about your role on an Agile team and how agile teams work with others as part of an agile release train. Members learn how to plan and execute work, how to apply Scaled Agile Framework® and Agile principles, and how to continuously improve
- Expand your network by participating in national and local social activities with other co-ops
- Develop your own learning plan by leveraging our e-learning platform
- Participate in professional development workshops focused on soft skill development
- Participate in an AI hackathon where the top team wins a grand prize
- Fast track to future new grad opportunities at CGI

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.

CGI is seeking an AI Engineer Co-op to join our team and contribute to the design, development, deployment, and operation of AI-enabled solutions for real-world business challenges.

The successful candidate will work alongside experienced technology professionals on initiatives involving Generative AI, Large Language Models (LLMs), AI agents, and cloud-native deployment on Google Cloud Platform (GCP).

The role will involve hands-on AI engineering using Python, AI/LLM frameworks, APIs, models, and other modern development technologies to build AI solutions and intelligent agents. Solutions developed by the team will be deployed and hosted on Google Cloud Platform (GCP), providing the candidate with experience taking AI solutions from experimentation and prototyping through to cloud deployment and operation.

We are looking for a student who combines strong software engineering fundamentals with curiosity, experimentation, and an interest in emerging AI technologies. This is an opportunity to work across the full AI solution lifecycle while gaining practical experience building production-oriented AI solutions and deploying them within an enterprise GCP environment.

Your future duties and responsibilities

- Design, develop, and prototype AI and Generative AI solutions addressing business and technology use cases.
- Develop AI agents and agentic workflows using Python, including agents capable of reasoning across multiple steps, invoking tools and APIs, and interacting with enterprise systems.
- Build solutions leveraging Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, tool/function calling, and agentic AI patterns.
- Develop Python-based services, APIs, scripts, automation, and reusable components supporting AI solutions.
- Work with AI/LLM frameworks and SDKs such as Google ADK or similar technologies.
- Integrate AI solutions with APIs,



databases, enterprise applications, data sources, and external services.
- Experiment with different models, prompts, retrieval techniques, tools, and agent architectures and evaluate their effectiveness.
- Develop evaluation approaches to measure AI solution quality, accuracy, reliability, performance, and safety.
- Package AI solutions using technologies such as Docker and deploy and host them on Google Cloud Platform (GCP).
- Work with GCP services such as Cloud Run, GKE, Vertex AI, Gemini, BigQuery, Cloud Storage, Secret Manager, IAM, and other relevant services to host and operate AI solutions.
- Implement appropriate configuration, security, logging, monitoring, and observability for solutions deployed on GCP.
- Participate in building proofs of concept and evolving successful prototypes into production-oriented, cloud-hosted solutions.
- Collaborate with architects, developers, and business stakeholders to understand requirements and translate them into technical solutions.
- Document technical designs, architectures, experiments, findings, and implementation approaches.
- Stay current with developments in Generative AI, agentic AI, LLMs, GCP, and emerging AI technologies and contribute ideas to the team's AI initiatives.

Required Qualifications To Be Successful In This Role

- Currently pursuing a university or college degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related technical discipline.
- Strong programming fundamentals and hands-on development experience with Python.
- Understanding of fundamental machine learning and artificial intelligence concepts.
- Familiarity with Generative AI and Large Language Models, with practical experience building or experimenting with LLM-based solutions.
- Familiarity with AI agents, RAG, prompt engineering, tool/function calling, or related Generative AI patterns.
- Understanding of APIs, REST-based services, and contemporary software development concepts.
- Familiarity with Git and modern software development practices.
- Understanding of cloud computing and application deployment concepts.
- Familiarity with Google Cloud Platform (GCP) or a demonstrated ability to learn and work with cloud technologies.
- Familiarity with data structures, databases, and working with structured and/or unstructured data.
- Strong analytical and problem-solving abilities.
- Ability to independently explore new technologies, develop prototypes, and turn ideas into working solutions.
- Strong communication skills and ability to collaborate effectively within a technical team.
- Demonstrated interest in AI through academic projects, personal projects, hackathons, internships, research, or other hands-on experience.

Assets / Nice-to-Haves Experience or familiarity with one or more of the following would be considered an asset:
- Hands-on experience building AI agents or multi-agent solutions using Python.
- RAG architectures, embeddings,



vector databases, semantic search, and document processing.
- AI/LLM frameworks such as Google ADK, LangChain, or similar technologies.
- Working with commercial and/or open-source LLMs and model APIs.
- Experience with Google Cloud Platform (GCP) and deploying applications or services to GCP.
- GCP services such as Cloud Run, GKE, Vertex AI, Gemini, BigQuery, Cloud Storage, Secret Manager, IAM, or related technologies.
- Docker, Git, CI/CD pipelines, and modern DevOps practices.
- Infrastructure-as-Code technologies such as Terraform.
- SQL and relational or NoSQL databases.
- Vector databases and retrieval technologies.
- Data engineering, analytics, or data-processing technologies.
- Building APIs or backend services using frameworks such as FastAPI or Flask.
- Cloud application security, identity and access management, secrets management, logging, monitoring, and observability.
- AI evaluation, guardrails, responsible AI, or AI security concepts.
- Previous AI projects demonstrating the ability to take an idea from experimentation through to a working solution.
- Google Cloud certifications or hands-on GCP projects would be considered an asset.

Above all, we are looking for someone who is curious, hands-on, eager to learn, and excited about building AI solutions and intelligent agents using up-to-date AI technologies and taking those solutions from prototype through to deployment and operation on Google Cloud. Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll 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.

You’ll shape your career by joining a company built to grow and last. You’ll 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.

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.

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 team—one of the largest IT and business consulting services firms in the world.

📌 Winter 2027: WiSE AI Developer Co-op (4 months) (Toronto)
🏢 CGI
📍 Toronto