New Grad Generative AI Developer

Position Description

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.

Your future duties and responsibilities

• 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 Engineering and Prompt Engineering 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.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $55,000 - $80,000

Required Qualifications To Be Successful In This Role

• 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
• Experience with QA/QE process or creating automation test scripts in Python/Java is highly desired

Additional Desired Qualifications

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

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Data Engineering
• MLOps
• RAG (Retrieval Augmented Generation)
• PEFT (Parameter-Efficient Fine-Tuning)
• Agentic AI
• Cloud Platforms (Azure, AWS, GCP)
• Python