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Added 1 day ago
C
Software Developer Embedded Systems II (Co-op) – Canada
Cisco
Montreal, QC · Saint-Laurent, QC
- Full-time
…infrastructure, powering global connectivity. You will join engineering teams focused on developing high-performance routing and switching architectures, low-latency telemetry, and…
Added 1 day ago
C
Software Developer Embedded Systems II (Co-op) – Canada
Cisco
Montreal, QC
- Full-time
…infrastructure, powering global connectivity. You will join engineering teams focused on developing high-performance routing and switching architectures, low-latency telemetry, and…
Added 1 day ago
DI
Junior Report Developer
Dawn InfoTek
Toronto, ON
- Contract
Develop reusable frameworks, scripts, and utilities to automate data engineering processes.
Added 1 day ago
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AI Scientist Intern - (Internship, Masters or Phd)
Mistral
Montreal, QC
- Internship
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes…
Added 1 day ago
C
Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
Experience with Data Lake/ Azure Data Factory, python, SQL Server, Tableau/ Power BI.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Brossard, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Montreal, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
AB · Edmonton, AB
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Laval, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Rouyn-Noranda, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Saguenay, QC · Chicoutimi, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Quebec, QC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
ES
Senior DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
Bachelor's degree from an accredited education institution in computer engineering, computer science, information systems or equivalent.
Added 1 day ago
SA
Senior IT Infrastructure Administrator, DevOps
Style Analytics
Montreal, QC
- Full-time
At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new…
Added 1 day ago
SC
AI Engineer
Smart Circle International
Richmond Hill, ON
- $85,000 to $100,000 CAD / year
- Full-time
…customer success teams. You’ll work closely with delivery, data, and engineering teams to develop AI-enabled workflows and no-code/low-code solutions using platforms like Claude, ChatGPT,…
Added 1 day ago
MS
Clinical Scientist (On Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
…information, while HumanOS provides the platform for bringing together data from textile sensors, medical devices, wearables and other connected technologies to create a more continuous…
Added 1 day ago
SA
Senior IT Infrastructure Administrator, DevOps
Style Analytics
Toronto, ON
- Full-time
At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new…
Added 1 day ago
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Production Support
Virtusa
Toronto, ON
- Full-time
Automate routine operational tasks using Python, Shell scripting, and Power Automate.
Added 1 day ago
GW
AI and Data Engineer
George Weston Limited
Toronto, ON
- Full-time
A bachelor's degree in computer science, data science, software engineering, or related field
Added 1 day ago
LD
Engineering Manager, Agentic AI & Machine Learning
Loblaw Digital
Toronto, ON
- Full-time
Provide technical leadership: Guide architectural decisions, design reviews, and engineering trade-offs across AI systems, distributed services, data pipelines, and cloud infrastructure.…
Added 1 day ago
WI
Wind Energy Assessment Lead, Renewable Energy
WSP in Canada
Calgary, AB
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 day ago
R
Senior Data Analyst, New Products
Remitly
Burnaby, BC
- Full-time
Advanced SQL proficiency, including building performant, well-documented pipelines, plus strong Python or R skills for data analysis is a plus.
Added 1 day ago
Senior DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
Bachelor's degree from an accredited education institution in computer engineering, computer science, information systems or equivalent.
Added 1 day ago
C
Quantum Machine Learning Research Scientist
CIBC
Toronto, ON
- Full-time
…programming and comfortable working with tools and frameworks such as Python, Qiskit, Cirq, Ocean, or Q#, and can collaborate effectively with engineering teams to execute experiments. You…
Added 1 day ago
PC
IT Product Intern - Data and Analytics - May 2027 (4-Month Term)
Parkland Corporation
Calgary, AB
- Full-time
Explore and profile data using approved tools such as SQL, Excel, Power BI, Python, or Databricks notebooks.

George Weston Limited

AI and Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Location:

22 St. Clair Avenue East, Toronto, Ontario, M4T 2S7

The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

AI and Data Engineer

Company: George Weston Ltd.

Department: Information Technology

Work Model: Minimum 4 days in the office per week

Overview:

George Weston Limited (“GWL”) is a major Canadian public company, founded in 1882. GWL’s portfolio of companies includes Loblaw Companies Limited and Shoppers Drug Mart, representing Canada’s largest food and drug retail businesses, and Choice Properties REIT which is Canada’s preeminent diversified Real Estate Investment Trust. Choice Properties REIT owns over 700 high quality commercial and residential properties across Canada, and with over 2,400 stores, Loblaw and Shoppers Drug Mart retail operations reach most Canadians, serving their everyday food, health, and wellness needs. Through this group of companies, GWL owns and operates several iconic Canadian brands including Loblaw, Shoppers Drug Mart, President’s Choice, No Name, Life, Joe Fresh.

Responsibilities:

The AI and Data engineer is responsible for implementing AI solutions to solve business problems and enhance business operations. This role is also responsible for building and managing data pipeline that enables AI applications leveraging LLMs, retrieval systems, workflows, and agentic solutions.

Design, implement, deploy, and support scalable AI/ML solutions that solve business problems, automate processes, and improve operational efficiency.
Identify and design scalable, reliable, and secure AI/ML solutions in collaboration with business stakeholders and technology team members.
Integrate AI/ML models and capabilities into existing applications, systems, and business workflows.
Collaborate with cross-functional stakeholders to translate business needs into AI/ML solutions and communicate results and performance.
Evaluate AI/ML technologies and identify opportunities to enhance existing solutions or business applications.
Manage and maintain data pipelines to extract, transform, and load data from databases, APIs, and external systems.
Maintain Enterprise Data Management solution and configuration .
Collaborate with business stakeholders and technology team members to deliver trusted data that supports analytical models, automated decisions, and business objectives.

Qualifications:

If you meet most of the qualifications listed, we encourage you to apply, even if you don’t check every box.

A bachelor's degree in computer science, data science, software engineering, or related field
At least three years of experience designing, building, and deploying AI / ML solutions in production environments
At least two years of hands-on experience developing GenAI, LLM, RAG, or Agentic AI applications including vector databases
Strong understanding of agentic AI architectures, multi-agent systems, prompt engineering, workflow orchestration, and AI application evaluation frameworks
Proficiency working with structured and unstructured data using commonly used data platforms (Snowflake experience is preferred), including data quality management.
Data modelling skills with working knowledge in programming languages such as Python, R, JavaScript, and C++
Experience working with cloud-native data platforms, such as Azure or AWS, and their relevant AI services
Familiarity with data engineering concepts, including data pipelines, data integration, and data warehousing
Ability to effectively communicate and work with technical and non-technical stakeholders to identify business requirements, and translate them into scalable solutions
Strong analytical and creative problem-solving skills to define an approachable solution
Excellent written and verbal communication skills, including technical documentation and non-technical leadership presentations

What’s in it for you?

Unique opportunity to join a dynamic team with a proven industry leader.
Ongoing opportunities for learning and career development within the Weston companies.
Dynamic and fast-paced work environment.
A competitive compensation and benefits package.
Employee share ownership program, RRSP and pension plan.
Continuous learning through development reimbursement.
Summer hours
Business-casual attire / Dress for your day.
Strong culture of diversity and inclusivity

Hiring Range: Base salary of $125,000 – 140,000 per year, plus applicable bonus.

George Weston Limited recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Number of Openings

1

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application

Apply About employer

More about this job

Responsibilities

Design, deploy, and support scalable AI and machine learning solutions that address business needs, automate processes, and integrate with existing systems and workflows. Build and maintain data pipelines and enterprise data management capabilities, collaborating with stakeholders to provide trusted data for AI applications and business decisions.

Requirements

A bachelor's degree in computer science, data science, software engineering, or a related field is requested, along with at least three years of production AI/ML experience and at least two years developing GenAI, LLM, RAG, or agentic AI applications. Candidates should have knowledge of agentic architectures, vector databases, data engineering, cloud platforms such as Azure or AWS, and programming languages including Python, R, JavaScript, or C++, as well as strong communication and problem-solving skills.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Prompt Engineering
Workflow Orchestration
Python
Data Pipelines
Data Modeling
Data Quality Management
Snowflake
Azure
AWS

Benefits

Competitive Compensation and Benefits Package
Employee Share Ownership Program
RRSP
Pension Plan
Development Reimbursement
Summer Hours
Business-Casual Dress

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Multi-Agent Systems
Vector Databases
Prompt Engineering
Workflow Orchestration
AI Application Evaluation
Data Pipelines
Extract, Transform, Load
Data Integration
Data Warehousing
Enterprise Data Management
Data Quality Management
Data Modeling
Structured Data
Unstructured Data
Snowflake
Python
R
JavaScript
C++
Azure
AWS
Cloud-Native Data Platforms
Retail
Production AI/ML Solutions

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