Start Date: Sep 02 2025
Application Deadline Date: 9 July 2025
Are you a Generative AI or Data Science candidate that has not just played around with Large Language Models, Copilots and Coding Assistants but also been curious enough to build some GenAI solutions hands-on?
* Some hands-on development experience in Generative AI projects is highly desired*
The Emerging Technologies team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and AI advisor and go-to implementation partner for our global clients’ Data and Advanced Analytics needs. We’re an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI partner and develop new and exciting opportunities in latest technologies.
Working with us, you will be supported by our best and brightest AI Scientists and Architects working on challenging projects in Generative AI and Agentic AI.

Perks of Being a CGI Co-op:

• Participate in monthly socials to meet co-ops across the country.
• Access professional development workshops hosted by domain experts on topics ranging from how to be a top consultant, how to apply the agile methodology, data & analytics and more!

To learn more about CGI and hear from our Co-ops and New Grads, visit www.cgi.com/startmycareer

Essential Qualifications

• Some hands-on or exploratory work experience with implementing Generative AI, LLMs, or GenAI solutions on at least 1-2 different projects
• Prompt Engineering experience on tools such as Amazon Bedrock, Azure Foundry or Vertex AI would be ideal
• Experience building LLM-based solution on Azure, AWS or GCP
• Experience fine-tuning LLMs with latest techniques
• Experience with some GenAI models including open source models deployment (LLaMa, Mistral et al)
• Experience with some Vector Databases
• Hands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GC

Additional desired qualifications

• Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Agents is welcome but not require

YOUR FUTURE DUTIES AND RESPONSIBILITIES

Your duties and responsibilities:

As a Generative AI Co-op member on this team your responsibilities will include:

• Building Large Language Models-based and NLP-based solutions for CGI clients by researching the best in class techniques and being a self-starter
• Data Engineer and Prompt Engineer the LLM solutions end-to-end to enhance end user experience
• Being “hands-on” to build, tune, deploy and monitor (MLOps) robust Machine Learning solutions built on RAG and latest techniques
• Fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRA
• Build and deploy latest Agentic AI solutions
• Mitigate risks and optimize costs associated with choosing a GenAI architecture solution
• Strategically and intensely collaborating with innovation team and the client stakeholders and account teams to explore key GenAI solutions
• Collaborate with other Data Scientists and Data Engineers in a client engagement setting
• Implementing proof of concepts to show value and then package and scale to full ML solutions at scale on both on-prem and cloud environments

This role comes with sometimes intense delivery expectations churning out POVs for clients in a short period of time and then going on to implement a full-scale production solution ensuring right user experience and adoption.

Essential Qualifications

• Some hands-on or exploratory work experience with implementing Generative AI, LLMs, or GenAI solutions on at least 1-2 different projects
• Prompt Engineering experience on tools such as Amazon Bedrock, Azure Foundry or Vertex AI would be ideal
• Experience building LLM-based solution on Azure, AWS or GCP
• Experience fine-tuning LLMs with latest techniques
• Experience with some GenAI models including open source models deployment (LLaMa, Mistral et al)
• Experience with some Vector Databases
• Hands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GCP

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

Additional desired qualifications

• Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Agents is welcome but not required

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