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Added 14 mins ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
7-9 years of experience in cyber security, software engineering, cloud engineering, or platform engineering, including a minimum of 4 years in a cyber security role.
Added 14 mins ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
As part of the Reporting Platform team, you will be a key developer supporting a business-critical reporting ecosystem used across TBSM. The platform includes a large-scale SQL data…
Added 14 mins ago
Jr. Software Engineer - Java, Angular, JavaScript
Motorola Solutions
Quebec, QC · Gatineau, QC · ON
Full-time
Knowledge of at least one cloud platform (AWS, Azure, GCP) Practical knowledge of one or more of these technologies (at least on a basic level): Spring Boot, Angular, Terraform, Kubernetes
Added 14 mins ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 14 mins ago
M365 Engineer
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Full-time
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Added 58 mins ago
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Added 58 mins ago
Security Platform Engineer (SIEM)
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Added 58 mins ago
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Knowledge of cloud‑based data platforms such as Azure Synapse Analytics or Microsoft Fabric.
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We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 59 mins ago
Senior Data Engineer
Confluence Technologies
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We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 hour ago
Senior DevOps Engineer - Digital Platforms
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Added 2 hours ago
Lead Azure(Terraform)- Cloud Platform Engineer
TECONICA SOFTWARES
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Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 2 hours ago
Staff Data Scientist, Applied ML
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Senior Data Engineer
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…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 2 hours ago
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Senior Manager, Data Product Manager
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Technical Delivery Manager
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$100,000 to $130,000 CAD / year
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Added 3 hours ago
Senior IAM Engineer
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$90 to $95 CAD / hour
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Build and operate client's cloud-native developer platform (Kubernetes + CNCF) on AWS, Azure, or GCP.
Added 4 hours ago
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Added 4 hours ago
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Added 5 hours ago
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…thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit…

GEI Consultants, Inc.

AI Engineer

Guelph, 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

Build, deploy, and integrate AI solutions using pretrained models and Copilot technologies, connecting enterprise data sources and business workflows securely. Monitor and troubleshoot solution reliability, performance, and cost, while collaborating with architecture and platform teams to ensure production readiness and scalability.

Requirements

Requires at least four years of software engineering experience, including one year building Generative AI applications, and proficiency in a programming language such as Python, PySpark, R, or SQL. Candidates should have experience delivering LLM solutions, preferably on Azure, and knowledge of cloud AI services, big data technologies, security, and responsible AI practices.

Skills

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

Benefits

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
Annual Performance Bonus

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
APIs
Microsoft Graph Connectors
Event-Driven Patterns
Power BI
Telemetry
Performance Monitoring
Cost Control
Python
PySpark
R
SQL
Azure AI Platform
Azure Data Factory
Azure Synapse
Azure Cognitive Services
Databricks Mosaic
Apache Spark
TensorFlow
PyTorch
Responsible AI

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