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Added 12 mins ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 1 hour ago
Lead Data Engineer - AI & Machine Learning
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Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
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Senior DevOps Developer
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Bedford, QC
Full-time
Experience with a public cloud technology, i.e. Azure, AWS, GCP
Added 1 hour ago
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Full-time
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Lead Infrastructure Architect
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Full-time
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Added 3 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
Added 3 hours ago
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Cloud Engineer - Early Career (Canada)
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Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
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Databricks Engineer (Contract)
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Added 6 hours ago
Software Engineer I
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Senior Data Engineer (Microsoft Fabric) | 6 months Contract | Vancouver-(Hybrid)
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Software Engineer I
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Senior Consultant - Microsoft Sentinel and Defender Engineer
EY
Winnipeg, MB · Toronto, ON · Quebec, QC · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Waterloo, ON · Calgary, AB
EY is seeking a senior, hands-on Microsoft security engineer to support the design, implementation, and continuous improvement of our Managed Detection and Response (MDR) services. You will…
Added 7 hours ago
Data Engineer
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Kitchener, ON
Full-time
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Added 7 hours ago
Integrator engineer
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Oracle EDQ Platform Engineer
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Added 7 hours ago
DevOps Engineer, New Grad
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Added 7 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
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Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 7 hours ago
Full Stack Engineer - Azure & Microsoft
Emterra Group
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We are looking for a skilled Full Stack Engineer to design, build, integrate, and operate secure enterprise applications on the Microsoft Azure platform. This role owns application…

GEI Consultants, Inc.

AI Engineer

Kitchener, ON, Canada

Pay: Pay Range For This Position: CA$110,000.00– CA$150,000.00/year
Job type: Full-time
Apply by: Oct 13, 2026
Experience: 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Posting language: English
Posted: Apr 1, 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 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.

Apply About employer

More about this job

Responsibilities

The AI Engineer is responsible for building, deploying, and integrating AI solutions using pretrained models and Copilot technologies into business workflows. They collaborate with architects and platform teams to ensure solutions are secure, scalable, and optimized for performance.

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
SQL
Azure AI
Copilot Studio
Azure Functions
RAG
Power BI
Databricks
Spark
TensorFlow
PyTorch
Machine Learning
Data Engineering

Benefits

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Well-being program
Paid parental leave
Commuter benefits
Hybrid work schedule
Cell phone stipend
Continuing education assistance
Tuition reimbursement
Profit sharing
401(k)

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Generative AI
Large Language Models
Azure
Copilot Studio
Python
PySpark
SQL
RAG
Power BI
Databricks
Spark
TensorFlow
PyTorch
Azure Data Factory
Azure Synapse
Azure Cognitive Services
Machine Learning
Software Engineering
Data Engineering
Prompt Engineering
API Integration
Telemetry
Cloud Computing
Responsible AI
Data Security
Professional Services
Engineering
Construction
AEC Industry

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