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Added 13 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
…(terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark,…
Added 13 hours ago
Senior Data Engineer
Ledcor
Vancouver, BC
Full-time
Design, build, and maintain production-grade data pipelines using PySpark and Databricks Spark Declarative Pipelines (SDP), including Python and SQL transformations across medallion…
Added 14 hours ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution,…
Added 14 hours ago
Sr Java Developer--CHODC5892126
Compunnel Inc.
Montreal, QC
$65 USD / hour
Contract
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages
Added 14 hours ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
…strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Success in this role requires strong communication,…
Added 15 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and SQL, with hands-on experience writing and debugging data transformation logic
Added 15 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Expert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).
Added 15 hours ago
Senior Data Engineer
National Bank of Canada
Montreal, QC
Full-time
Proficiency in at least one of the following data languages or technologies: SQL, Python, Spark or SAS
Added 15 hours ago
Python/Spark Developer
Collabera
Toronto, ON · Greater Toronto Area, Canada
$70 to $75 CAD / hour
Contract
We are seeking an experienced Python/Spark Developer with strong expertise in building enterprise-grade backend applications and large-scale data processing solutions within the financial…
Added 16 hours ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…data by riders and agencies alike. We’re looking for a senior developer who can bring a mix of analytical rigour and a 1000W creative spark to show us whole new possibilities of what can be…
Added 17 hours ago
Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
Full-time
Experience with one or more scripting language (e.g., Python, KornShell)
Added 18 hours ago
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
Full-time
Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
Added 18 hours ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
Job Description – Core java, Apache Spark, Python
Added 18 hours ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution,…
Added 18 hours ago
Senior/Lead Azure Cloud Data Engineer
Nityo Infotech
Toronto, ON
Contract
Optimize Spark jobs for performance, scalability, and cost efficiency.
Added 19 hours ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
Strong hands-on development experience in modern programming languages such as Java and Python
Added 20 hours ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Added 20 hours ago
Big Data Developer
Pacer Group
Mississauga, ON
$125,000 to $130,000 CAD / year
Contract
Develop and maintain scalable data pipelines using PySpark and Spark SQL for large datasets.
Added 20 hours ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
Strong hands-on development experience in modern programming languages such as Java and Python
Added 20 hours ago
Senior Data Engineer (Databricks)
Yochana
Toronto, ON
Contract
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Added 20 hours ago
Data Engineer, Early Career - 2027 (CAN)
Amazon
Toronto, ON
- Experience with one or more scripting language (e.g., Python, KornShell)
Added 21 hours ago
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
Internship
Programming Languages: Proficiency in SQL and Python is essential; experience with PyTorch, Spark, Scala, or similar technologies is a plus.
Added 22 hours ago
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 22 hours ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Added 22 hours ago
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
You write production-quality code (Python at minimum) and can work inside a real backend codebase

Urban Ridge Supplies

AI Engineer

Guelph, 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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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: aAluH7Ni1BecGQd7KdtavIY6qB76Q+XoWVgWq13kWuo4hEVcQvTiajWp1n5x8Exh88sPvJqxlqrLjKOqIek4h3P9HWKIGjU6LQ==

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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 into business workflows. They will also collaborate with architects to ensure solutions are secure, scalable, and optimized for performance.

Requirements

Candidates must have at least 4 years of software engineering experience, including 1 year of 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
Databricks
Prompt Engineering
RAG
Copilot Studio
Azure Functions
Power BI
Machine Learning
Data Integration
Cloud Computing
Software Engineering

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
Profit Sharing
401(k)
Annual Performance Bonus

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Generative AI
LLM
Azure
Databricks
Python
PySpark
SQL
RAG
Copilot Studio
Azure Functions
Power BI
Spark
TensorFlow
PyTorch
Azure Data Factory
Azure Synapse
Azure Cognitive Services
Machine Learning
Software Engineering
Data Integration
Cloud Services
Prompt Engineering
API
Graph Connectors
Telemetry
Responsible AI
Data Encryption
AEC Industry
Technical Consulting

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