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Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Collaborative Research: Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute…
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
…OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI…
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Intern Engineer – RL Post-Training for LLMs
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
Internship
Collaborate with researchers and engineers on cutting-edge LLM projects
ML Engineer
Tigera
Vancouver, BC
…make decisions, call tools, hold credentials, and reach across systems in ways traditional models weren't designed for. The companies running thousands of these agents in production have…
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
Full-time
…enterprise applications that combine predictive analytics, machine learning, generative AI, agentic AI, and computer vision directly within business workflows. Our AI Centre of Excellence…
Senior AI Software Developer (Canada Remote)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Offsite/Home
Full-time
Autodesk is leading the transformation of how users interact with design and engineering software by embedding AI deeply into our products. We are building cloud-native, AI-powered…
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
Full-time
AI Application Development: An AI Engineer is focused on the practical application of artificial intelligence and machine learning to create intelligent systems and solve real-world…
Principle Developer
Ericsson
Ottawa, ON
Full-time
Minimum 12 years as a systems engineer or research engineer
Principal Developer
Ericsson
Ottawa, Ontario
Full-time
Minimum 12 years as a systems engineer or research engineer
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
Full-time
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.
AI Developer
GenAIz
Montreal, Quebec
Full-time
Certification in machine learning or data science (e.g., Certified Data Scientist, Certified Machine Learning Engineer)
Applied Scientist, Pro Growth
Javelin Venture Partners
ON · Ontario, Canada
Full-time
Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience.
Applied Scientist, Pro Growth
Thumbtack
Remote, Canada
Full-time · Remote
Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience.
AI Solutions Architect
HireHawk
Remote, Canada
Full-time · Remote
3+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a related technical field.
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Lead Power System Engineer. This role is based in our Eaton Americas Innovation Center in Brossard,…
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Winter 2027: WiSE AI Developer Co-op (4 months)
CGI
Toronto, ON
Full-time
Build solutions leveraging Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, tool/function calling, and agentic AI patterns.
Lead AI/ML Engineer
RBC
Toronto, ON
Full-time
5+ years of experience in software development with 3+ years focused on machine learning and AI solutions
Senior AI/ML Engineer
RBC
Toronto, ON
Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
5+ years of experience in software development with 3+ years focused on machine learning and AI solutions
RAG Engineer
MCI Careers
Canada
Other
Minimum 3 years of experience in software engineering, AI engineering, machine learning, or information retrieval.
AI/ML Engineer
TC Transcontinental
Mississauga, ON
Full-time
Design and build machine learning and generative AI components that integrate with our data platforms and infrastructure, built for automation, reliability, and operational efficiency.
Sr. Computer Vision Engineer
OpenSpace
Canada
We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data.…

CGI

Winter 2027: WiSE AI Developer Co-op (4 months)

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 15, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The role involves designing, prototyping, and deploying AI-enabled solutions and intelligent agents using Python and LLMs. Candidates will build production-oriented AI services and host them on Google Cloud Platform (GCP).

Requirements

Applicants must be currently pursuing a degree in Computer Science, AI, or a related technical field with strong Python programming skills. Practical experience with Generative AI, LLMs, and cloud computing concepts is required.

Experience

0 to 2 years

Education

bachelor degree

Working hours

40 hours per week

Work arrangement

On-site

Skills

Python
Generative AI
Large Language Models
Google Cloud Platform
RAG
Prompt Engineering
AI Agents
Docker
Vertex AI
API Development
Git
Machine Learning
Software Engineering
FastAPI
Flask
SQL

Benefits

1:1 Mentorship
Professional Development Workshops
E-learning Platform
AI Hackathon Participation
Fast Track to New Grad Opportunities

Minimum pay

$18

Maximum pay

$32

Pay currency

CAD

Pay period

HOUR

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Python
Google Cloud Platform
GCP
Vertex AI
Gemini
RAG
AI Agents
Docker
GKE
Cloud Run
BigQuery
SAFe for Teams
Agile
Prompt Engineering
Embeddings
Vector Databases
FastAPI
Flask
CI/CD
Terraform
Git
REST APIs
Machine Learning
Software Engineering
Data Science
AI Engineering
Cloud Native
Agentic Workflows

Original job description

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 modern 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 modern 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.

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