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AI and Data Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
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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
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

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Categories

  • Technology
  • Data & Analytics
  • Software
  • Retail

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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