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Added 29 mins ago
Q
Oracle EDQ Platform Engineer
Querentia
Canada
- Contract
We are looking for an experienced Oracle EDQ Platform Engineer to support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure.
Added 1 hour ago
Data Science Engineer
National Research Council Canada
Ottawa, ON
We are looking for a Data Science Engineer to support our Digital Technologies research Centre (DT). The Data Science Engineer would be an employee who shares our core values of Integrity,…
Added 1 hour ago
RV
Radical Ventures: AI Product Engineer
Radical Ventures
Toronto, ON
- Full-time
We are seeking an AI Product Engineer with a passion for building AI-native applications,
Added 1 hour ago
CT
Middleware Engineer
Coelate Technologies
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Strong infrastructure knowledge in Linux / Unix, Storage and Networking
Added 2 hours ago
AT
Certified Sr. Snowflake Engineer
Arkhya Tech Inc.
Canada
- Full-time
Job Summary: We are seeking a skilled Sr. Snowflake Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data…
Added 2 hours ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 2 hours ago
I
Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
…mentoring developers, and collaborating with product, engineering, infrastructure, architecture, and business…
Added 2 hours ago
H
Senior Network Engineer
Hays
Toronto, ON
- Contract
We are seeking a skilled Senior Network Engineer to design, implement, and manage secure and scalable network infrastructure across on-premises and cloud environments. The ideal candidate…
Added 2 hours ago
AT
Snowflake engineer
Arkhya Tech Inc.
Canada
- Full-time
Job Summary: We are seeking a skilled Sr. Snowflake Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data…
Added 2 hours ago
P
Senior Cloud Network Engineer
Pinnacle
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Cloud Network Engineer to design, implement, and manage our worldwide cloud and on-prem network infrastructure. This is a hands-on technical role that…
Added 3 hours ago
1
Infrastructure Architect
123Dentist
Toronto, ON
- $150,000 to $175,000 CAD / year
- Full-time
Engineer and administer Microsoft Azure infrastructure, including landing zone design, virtual machines, networking, storage, backup, and cost optimization
Added 3 hours ago
Application Security Engineer (senior - principal) Landmark
Halliburton
Calgary, AB
As an Application Security Engineer at Landmark, you will help identify and reduce security risk in the software products and digital platforms used by the energy industry. Working under…
Added 3 hours ago
XI
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 9 hours ago
A
Principal Network Engineer
Aviso
Vancouver, BC
- $135,000 to $145,000 CAD / year
- Full-time
Reporting to the Director, Infrastructure Operations, the Principal Network Engineer is responsible for designing, implementing, and providing technical leadership for modern network…
Added 15 hours ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Design end-to-end AI agent architectures using Anthropic's Claude platform (Cowork and Skills framework), aligned to client infrastructure, security requirements, and compliance constraints
Added 1 day ago
GC
AI Engineer
GEI Consultants, Inc.
Markham, ON
- $110,000 to $150,000 CAD / year
- Full-time
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.
Added 1 day ago
KC
Site Reliability Engineer
KPMG Canada
Kitchener, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 1 day ago
MT
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 1 day ago
M
Stagiaire en opérations critiques Centre de données / Critical Environment Ops INTERN Data Center
Microsoft
Quebec, QC
- Full-time
…stagiaire CET, vous jouerez un rôle clé dans la prestation de l’infrastructure de base et des technologies fondamentales qui soutiennent les services en ligne de Microsoft, notamment Bing,…
Added 1 day ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
Join the Systems Planning and Architecture (SPARC) team within Azure Hardware Systems and Infrastructure (AHSI), where we are building infrastructure for some of the world's most demanding…
Added 1 day ago
MO
Project Technician – Tier 3 Network & Infrastructure Specialist
MSP OPERATIONAL CORP
Guelph, ON · London, ON
- $90,000 to $100,000 CAD / year
As a Project Technician – Tier 3 Network & Infrastructure Specialist, you will play a senior hands-on role in the planning, design, and delivery of complex network and infrastructure…
Added 2 days ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
Cloud Computing, Cloud Computing Architecture, Cloud Migrations, Cloud Platform, Cloud Security, Collaboration, DevOps, Enterprise Cloud, Infrastructure as a Service (IaaS), Infrastructure…
Added 2 days ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
Join the Systems Planning and Architecture (SPARC) team within Azure Hardware Systems and Infrastructure (AHSI), where we are building infrastructure for some of the world's most demanding…
Added 2 days ago
M
Stagiaire en opérations critiques Centre de données / Critical Environment Ops INTERN Data Center
Microsoft
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
…stagiaire CET, vous jouerez un rôle clé dans la prestation de l’infrastructure de base et des technologies fondamentales qui soutiennent les services en ligne de Microsoft, notamment Bing,…
Added 2 days ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
…integration, transformation, and delivery of technology data from infrastructure, cyber, cloud, AI, and enterprise systems into a Databricks-based data…

Closed listing

GEI Consultants, Inc.

AI Engineer

Kitchener, ON, Canada

$110,000 to $150,000 CAD / year · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $110,000 to $150,000 CAD / year
Job type: Full-time
Closing date: Oct 29, 2026
Experience: 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
Posting language: English
Posted: Sep 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

About employer

More about this job

Responsibilities

Build, deploy, and integrate AI solutions using pretrained models, Copilot technologies, prompt flows, plugins, and orchestration to support business workflows. Connect enterprise data securely, maintain AI-related Power BI dashboards, monitor reliability, performance, and costs, and troubleshoot deployed solutions in collaboration with architecture and platform teams.

Requirements

Requires at least four years of software engineering experience, including at least one year building Generative AI applications, plus experience developing LLM solutions and proficiency in a programming language such as Python, PySpark, R, or SQL. Candidates should have experience with Azure-based AI solutions, relevant cloud and data technologies, and knowledge of responsible AI and AI security practices; related certifications and experience in professional services, engineering, or construction are advantageous.

Skills

Generative AI
Large Language Models
Python
PySpark
R
SQL
Azure
Copilot Studio
Azure Functions
Retrieval-Augmented Generation
Power BI
Databricks
Apache Spark
TensorFlow
PyTorch
Responsible AI

Benefits

Annual Performance Bonus
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Well-Being Program
Paid Parental Leave
Commuter Benefits
Cell Phone Stipend
Continuing Education Assistance
Tuition Reimbursement
Professional Development
Paid Holidays
Paid Time Off
Profit Sharing
401(k)
Employee Ownership
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Pretrained Models
Copilot Technologies
Copilot Studio
Azure Functions
Prompt Flows
Plugins
Orchestration
Retrieval-Augmented Generation
Graph Connectors
APIs
Event-Driven Patterns
Power BI
Python
PySpark
R
SQL
Azure AI Platform
Azure Data Factory
Azure Synapse
Azure Cognitive Services
Azure AI Library APIs
GPT
Codex
DALL·E
Databricks Mosaic
Apache Spark
TensorFlow
PyTorch

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