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Added 1 min ago
Principal Product Manager, Platform Strategy & Infrastructure (Auth0)
Okta
Toronto, ON
$173,000 to $237,000 CAD / year
Full-time
…experience managing highly complex, high-scale infrastructure, platform, or deeply backend products at an enterprise SaaS…
Added 3 hours ago
Developer T2 (CAN)
Apex Systems
Vancouver, BC
$37 to $53 USD / hour
Contract
Our client, a Fortune 500 global enterprise software and ERP platform provider, is looking for an AI/ML Platform Developer to join their Business Data Cloud Foundation Infrastructure…
Added 4 hours ago
Senior Consultant - SAP ABAP / S4
Infosys
ON
⦁ Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
Added 4 hours ago
Principal Consultant - SAP ABAP
Infosys
Canada
⦁ Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
Added 6 hours ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 7 hours ago
Digital Architect - GOAPRDJP000001022
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Digital Architect with strong expertise in enterprise architecture, Azure Red Hat OpenShift, application architecture, cloud platforms, data, security,…
Added 7 hours ago
Digital Architect - GOAPRDJP000001022
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Digital Architect with strong expertise in enterprise architecture, Azure Red Hat OpenShift, application architecture, cloud platforms, data, security,…
Added 7 hours ago
Member of Technical Staff 2 - AI
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment,…
Added 7 hours ago
Senior Solution Architect - CRM | D365, Power Platform, Azure Integration, Enterprise Integration Architecture, Solution Design & Governance
CCI- Computer Consultants International, Inc.
Toronto, ON
Contract
…are leading the development of a Common Compliance Management Platform (CCMP). This enterprise initiative aims to define a standardized, modular, and composable technology solution for…
Added 8 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment,…
Added 10 hours ago
Member of Technical Staff - Cloud Operations
Aptiv
Ottawa, ON
Full-time
Architect, design, deploy, and operate secure cloud environments across AWS, Azure, and/or GCP.
Added 10 hours ago
Lead Technical Product Owner, Salesforce
Manulife
Toronto, ON · Waterloo, ON
Full-time
Additional Salesforce certifications such as Sales Cloud, Service Cloud, Application Architect, System Architect, Platform Developer II, or Technical Architect.
Added 11 hours ago
Solution Architect - CRM - Senior - RQ11560
S M Software Solutions Inc
Toronto, ON
Internship
We are looking for an experienced Solution Architect – CRM – Senior with strong expertise in Microsoft Dynamics 365 Solution Architecture, Microsoft Power Platform, Azure-based enterprise…
Added 11 hours ago
Solution Architect - CRM - Senior - RQ11560
S M Software Solutions Inc
Toronto, ON
Internship
We are looking for an experienced Solution Architect – CRM – Senior with strong expertise in Microsoft Dynamics 365 Solution Architecture, Microsoft Power Platform, Azure-based enterprise…
Added 11 hours ago
AWS Snowflake Architect (Hybrid, Markham, Ontario)
HR POD Careers
Markham, ON
Full-time
8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
Added 11 hours ago
Application Support - Salesforce Manager
Brandt Group of Companies
Regina, SK
Full-time
Preference will be given to candidates with Salesforce certifications: Administrator, Platform App Builder, Integration Architecture Designer, or Application Architect
Added 14 hours ago
Lead Software Engineer – Enterprise Integration (Azure)
Altis Technology
Toronto, ON · Greater Toronto Area, Canada
$100 to $125 CAD / hour
Contract
Our client - a large national healthcare organization is building a new Azure-native customer onboarding platform that will integrate with multiple enterprise systems across the…
Added 14 hours ago
Director, Process Engineering
Royal Bank of Canada
Toronto, ON
Full-time
Zachman Certified Enterprise Architect - Zachman International
Added 15 hours ago
Salesforce Technical Lead (Financial Services Cloud)
Epsilon Solutions Ltd.
Montreal, QC
Contract
We are seeking an experienced Salesforce Technical Lead to lead the design, architecture, and implementation of enterprise-scale Salesforce solutions for a major Canadian banking client.…
Added 15 hours ago
Domain Enterprise Architect - Downstream Business (Retail)
Nutrien
Saskatoon, SK
Full-time
The Domain Enterprise Architect - Downstream is accountable for the architecture of Nutrien's Retail and grower-facing business domain. The role connects business strategy, customer and…
Added 15 hours ago
Domain Enterprise Architect - Downstream Business (Retail)
Nutrien
Calgary, AB
Full-time
The Domain Enterprise Architect - Downstream is accountable for the architecture of Nutrien's Retail and grower-facing business domain. The role connects business strategy, customer and…
Added 15 hours ago
Senior C# .Net Senior Software Engineer REQ_7
3Pillar
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
…modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation - doing work that is…
Added 15 hours ago
Director, Process Engineering
RBC
Toronto, ON
Full-time
Zachman Certified Enterprise Architect - Zachman International
Added 15 hours ago
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Work closely with the Enterprise Architect to design and implement solutions that align with the platform capabilities roadmap
Added 16 hours ago
Application Architect / Solution Architect- Java
Arkhya Tech. Inc.
Canada
Full-time
Design, develop, and govern enterprise-wide integration solutions using MuleSoft Anypoint Platform, Salesforce, and other business applications.

Closed listing

GEI Consultants, Inc.

AI Engineer

Markham, ON, Canada

Pay: $110,000 to $150,000 CAD / year
Job type: Full-time
Closing date: 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

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

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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

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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