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Added 19 mins ago
Intermediate Data Engineer
BMO
Toronto, ON · SCC
Full-time
The Data Engineer is responsible for designing, building, and supporting scalable data solutions that enable analytics, reporting, regulatory, and operational business processes. Working as…
Added 33 mins ago
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
Full-time
As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy,…
Added 5 hours ago
Senior Integration Architect
Infotree Global Solutions
Toronto, ON
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 6 hours ago
Solutions Architect
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
Establish the governance model for generative AI usage within the tenant, ensuring enterprise data protection is actively maintained and AI models do not train on internal proprietary data.
Added 6 hours ago
Lead AI/GenAI Engineer – Agentic AI, RAG & LLM
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Toronto, ON · Greater Toronto Area, Canada
Contract
Role: Lead AI/GenAI Engineer – Agentic AI, RAG & LLM
Added 14 hours ago
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Added 18 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
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Added 18 hours ago
AI Engineer
S M Software Solutions Inc
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Added 1 day ago
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Added 2 days ago
AI Engineer
Zafin
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…management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
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Added 2 days ago
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Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
Establish the governance model for generative AI usage within the tenant, ensuring enterprise data protection is actively maintained and AI models do not train on internal proprietary data.
Added 12 days ago
AI Engineer
GEI Consultants, Inc.
Markham, ON
$110,000 to $150,000 CAD / year
Full-time
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…
Added 6 days ago
Full-Stack Software Engineer
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Toronto, ON · Waterloo, ON
Full-time
…interact across digital channels. As a Full-Stack Software Engineer, you will build and enhance intelligent customer experiences powered by conversational AI, cloud technologies, and modern…
Added 5 days ago
Associate or Vice President Full Stack Engineer
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Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 3 days ago
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Added 2 months ago
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Added 2 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
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…challenges and building scalable platforms that enable innovation at enterprise…
Added 2 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
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Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production…
Added 3 days ago
Applied AI Engineer
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Mississauga, ON
Full-time
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Added 3 days ago
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
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Added 3 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 3 days ago
Architect - Machine Learning
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GEI Consultants, Inc.

AI Engineer

Markham, ON, Canada

Pay: $110,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Oct 9, 2026
Experience: 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Posting language: English
Posted: Sep 9, 2026

Apply About employer

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 sitehere.

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.

Apply About employer

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 ensure these solutions are secure, scalable, and optimized for performance while collaborating with architecture teams.

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
Python
PySpark
R
SQL
Azure AI
Copilot Studio
Azure Functions
Retrieval-augmented generation
Databricks
Spark
TensorFlow
PyTorch
Power BI
Prompt engineering
Software engineering

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Profit sharing
401(k)
Paid parental leave
Commuter benefits
Tuition reimbursement
Continuing education assistance
Annual performance bonus
Paid holidays
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

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

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