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Added 2 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 3 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Added 3 hours ago
Customer Success Solutions Specialist
Teltoo (Acquired by Haivision)
Success, SK
Full-time
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and virtualized environments
Added 9 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 11 hours ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping…
Added 15 hours ago
Professional Services Consultant
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
The Professional Services Consultant delivers Microsoft cloud, infrastructure and platform projects for Synapse360 customers. The role is suited to an experienced Windows infrastructure…
Added 17 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 21 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 1 day ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 day ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 1 day ago
Full Stack Infrastructure Engineer
Axelon Services Corporation
Montreal, QC
$65.52 USD / hour
Other
Experience with cloud (AWS, Azure, GCP vulnerability posture), on-prem infrastructure (Windows/Linux), network devices & appliances, containers & Kubernetes security, and IoT/OT…
Added 1 day ago
Lead AI Platform Engineer | Digital-First Canadian Bank | Toronto Hybrid
Deep Native
Toronto, ON
Contract
We’re hiring a Lead AI Platform Engineer for a Canadian banking client with a strong digital focus. The role sits within AI Platform Operations and supports the administration, governance…
Added 1 day ago
Intermediate Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 1 day ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…conversational-AI solutions built on Microsoft Copilot Studio and the Power Platform, backed by custom Azure development where the workload demands it. This role owns the hardest recurring…
Added 1 day ago
Senior Quantitative Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
Experience with Cloud (AWS or Azure) and containerization is a big plus
Added 1 day ago
Senior Cloud Security Engineer ( Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
The AWS Security Controls team within Cloud Security Engineering is working on several exciting initiatives to further secure RBC’s AWS environment. In this role as a Senior Cloud Security…
Added 1 day ago
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
Full-time
Experience with Cloud (AWS or Azure) and containerization is a big plus
Added 1 day ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 1 day ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Production experience with a major cloud ML platform - Vertex AI preferred; SageMaker or Azure ML acceptable - including custom training jobs, artifact management, and cost control.…
Added 1 day ago
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
Full-time
Experience with AWS (highly preferred) or other cloud products (Microsoft Azure, Google Cloud)
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
Windows Engineer II
TD
Toronto, ON
Full-time
We are seeking an experienced Senior Windows Engineer to join our Windows Engineering team. The successful candidate will be responsible for developing enterprise Windows standards,…
Added 1 day ago
Cloud Network Engineer II
TD
Toronto, ON
Full-time
As a Cloud Network Engineer, you will be responsible for engineering, automating, and supporting enterprise cloud networking solutions across Azure, AWS, and GCP. This role combines deep…
Added 1 day ago
Senior Manager, Engineering
TD
Toronto, ON
Full-time
Lead a team of engineers to design, engineer, and coordinate execution of IAM related components for new service delivery, platform enablement & enhancements, and cloud migrations on our…
Added 1 day ago
Cloud DBA
BMO
Toronto, ON · SCC
Full-time
Design, engineer, deploy, and support cloud database platforms, with a strong focus on AWS RDS, Amazon Redshift, Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric.

Urban Ridge Supplies

AI Engineer

Kitchener, ON, Canada

Pay: Pay Range For This Position: CA$110,000.00– CA$150,000.00/year
Job type: Full-time
Experience: 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Posting language: English
Posted: Sep 24, 2026

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Applications open in a new tab.

Original job description

Description

Your role at GEI.

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.

The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.

Essential Responsibilities & Duties

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

We are GEI.

Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.

We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.

With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.

Employee-owned. Employee-focused.

As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.

GEI’s Total Rewards Package Includes

Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
Pay Range For This Position: CA$110,000.00– CA$150,000.00/year
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
Well-Being Program and Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules and Cell Phone Stipends
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
Paid Holidays and Generous Paid Time Off Program
Rewards and Recognition
GEI-Funded Profit Sharing and 401(k)
Opportunity to be an Owner and Shareholder (Learn more here)
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
And More…

Physical Requirements

WORK ENVIRONMENT

Functional Demands

Sedentary

x

Light

Medium

Other

Activity Level Throughout Workday (check one per row)

Physical Activity Requirements

Occasional

(0-35% of day)

Frequent

(33-66% of day)

Continuous

(67-100% of day)

Not Applicable

Sitting

x

Standing

x

Walking

x

Climbing

x

Lifting (floor to waist level) (in pounds)

x

Lifting (waist level and above) (in pounds)

x

Carrying objects

x

Push/pull

x

Twisting

x

Bending

x

Reaching forward

x

Reaching overhead

x

Squat/kneel/crawl

x

Wrist position deviation

x

Pinching/fine motor skills

x

Keyboard use/repetitive motion

x

Taste or smell (taste=never)

x

Talk or hear

x

Accurate 20/40

Very Accurate 20/20

Not Applicable

Near Vision

x

Far Vision

x

Yes

No

Not Applicable

Color Discrimination

Sensory Requirements

Minimal

Moderate

Accurate

Not Applicable

Depth perception

x

Hearing

x

Environment Requirements

Occupational Exposure Risk Potential

Reasonably Anticipated

Not Anticipated

Blood borne pathogens

x

Chemical

x

Airborne communicable diseases

x

Extreme temperatures

x

Radiation

x

Uneven surfaces or elevations

x

Extreme noise levels

x

Dust/particulate matter

x

Other (exposure Risks)

Usual workday hours :

x

8

10

12

Other work hours

GEI is an AA/equal opportunity employer, including disabled and veterans.

Job Id: GTKrkwZoxiVXDbhn7xP7KZxAiAslrWLjoNVcClMxALjFyM37I/JDLO+/liDmA83jTUmRlZP5ftUlG0jAEkUmr3MhKMBbfYr8iw==

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More about this job

Responsibilities

The AI Engineer will build, deploy, and integrate AI solutions using pretrained models and Copilot technologies to support business workflows. They will collaborate with architects to ensure solutions are secure, scalable, and production-ready while maintaining performance and reliability.

Requirements

Candidates must have at least 4 years of software engineering experience, including a minimum of 1 year building Generative AI applications. Proficiency in programming languages like Python or SQL and experience with Azure cloud services are required.

Skills

Generative AI
Large Language Models
Python
PySpark
SQL
Azure AI
Copilot Studio
Azure Functions
RAG
Databricks
Spark
TensorFlow
PyTorch
Power BI
Software Engineering
Cloud Computing

Benefits

Medical
Dental
Vision
Life Insurance
Disability Insurance
Well-being Program
Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules
Cell Phone Stipend
Continuing Education Assistance
Tuition Reimbursement
Professional Development
Paid Holidays
Paid Time Off
Profit Sharing
401(k)

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Generative AI
LLM
Copilot
Azure
Python
PySpark
SQL
RAG
Databricks
Spark
TensorFlow
PyTorch
Power BI
Cloud Services
Machine Learning
Data Engineering
Software Engineering
Prompt Engineering
API Integration
Telemetry
Responsible AI
Data Encryption
AEC Industry
Consulting
Sustainability
Infrastructure
Digital Transformation
Automation
Workflow Integration

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