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Added 5 hours ago
KG
DevOps Engineer
Kongsberg Geospatial Ltd
Ottawa, ON
- Full-time
Our team is growing and we’re looking for a DevOps Engineer to support the engineering development operations through driving the advancement of our technical processes, frameworks, and…
Added 6 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
As a Dynamics 365 CRM Solution Engineer, you will lead AI transformation engagements with deep CRM domain expertise. Your role involves owning the technical win strategy and supporting AI…
Added 7 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
…on AWS, with potential involvement across GCP and Microsoft Azure. You will lead cloud architecture initiatives, establish best practices, and drive automation across cloud…
Added 9 hours ago
BC
Senior DevOps Engineer
BrainRidge Consulting
Toronto, ON
- Full-time
Develop, implement, and maintain scalable, secure, and highly available cloud infrastructure solutions in both AWS and Azure.
Added 9 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…with managers and other team members to design and implement security solutions (e.g. Cloud/App Security, AI to Defend) for our clients, helping secure their cloud environments and software…
Added 9 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…
Added 10 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…
Added 11 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
Working proficiency in cloud-native development on AWS and/or Azure: containers/Kubernetes and Infrastructure as Code (Terraform, CloudFormation/ARM).
Added 12 hours ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
Implement Infrastructure as Code and automated Azure cloud provisioning.
Added 12 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
Working proficiency in cloud-native development on AWS and/or Azure: containers/Kubernetes and Infrastructure as Code (Terraform, CloudFormation/ARM).
Added 12 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Strong hands-on experience with CI/CD platforms (Azure DevOps, GitHub Actions) and familiarity with integrating security and testing into CI/CD workflows.
Added 12 hours ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 12 hours ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
…manage, support, and optimize containerized applications and infrastructure. The ideal candidate will have hands-on experience deploying, scaling, maintaining, and troubleshooting…
Added 12 hours ago
N
Information Security Engineer (Cloud) - Contract
Numeris
Toronto, ON
- Full-time
In this role, you will bridge technical security tooling, operational governance, and day-to-day security service delivery. You will monitor and strengthen security posture across AWS,…
Added 12 hours ago
TS
Azure Architect
TECONICA SOFTWARES
Toronto, ON
- Contract
The ideal candidate will have strong expertise across the Microsoft Azure ecosystem, Infrastructure as Code, CI/CD, cloud automation, and platform engineering. The engineer will be…
Added 12 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
…building enterprise-grade AI capabilities, and working across infrastructure, machine learning, security, and platform engineering…
Added 14 hours ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
Cloud & Infrastructure Fluency: Deep technical experience analyzing and building threat coverages across enterprise multi-cloud environments (AWS, Azure, or GCP), core identity providers,…
Added 14 hours ago
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Full-time
Embed security into the software development lifecycle through application and API security reviews, CI/CD security controls, code and dependency scanning, infrastructure-as-code review,…
Added 14 hours ago
EM
AI Solutions Lead
EC Managed IT
Langley (District), BC · Langley, BC
- Full-time
· An infrastructure, security, or monitoring job: these operations will be handled by EC Managed IT.
Added 15 hours ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 15 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.
Added 15 hours ago
KG
DevOps Engineer
Kongsberg Geospatial
Ottawa, ON
- Full-time
Our team is growing and we’re looking for a DevOps Engineer to support the engineering development operations through driving the advancement of our technical processes, frameworks, and…
Added 16 hours 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 16 hours 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 17 hours 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,

Closed listing

GEI Consultants, Inc.

AI Engineer

Markham, 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 and Copilot technologies, connecting enterprise data sources and embedding AI capabilities into business workflows. Monitor and optimize solution reliability, performance, and cost; maintain supporting Power BI dashboards; and troubleshoot deployments while coordinating 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 secure and responsible AI practices; professional services, engineering, or construction experience and relevant certifications are advantageous.

Skills

Generative AI
Large Language Models
Python
PySpark
R
SQL
Azure
Copilot Studio
Azure Functions
Retrieval-Augmented Generation
Databricks
Apache Spark
Power BI
Prompt Engineering
AI Solution Integration
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
APIs
Microsoft Graph Connectors
Retrieval-Augmented Generation
Event-Driven Patterns
Power BI
Python
PySpark
R
SQL
Azure AI Platform
Azure Data Factory
Azure Synapse
Azure Cognitive Services
Azure AI Library APIs
Databricks Mosaic
Apache Spark
TensorFlow
PyTorch
AI Ethics
Bias Mitigation
Explainability

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