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Added 11 mins ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data,…
Added 11 mins ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Full-time
Do you enjoy building the infrastructure behind training jobs, GPU environments, experiment tracking, model registries, evaluation gates, and controlled deployment of robotics AI models?
Added 11 mins ago
Observability Engineer
Envision Technology Solutions
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. In this role, you will own the complete…
Added 13 mins ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 13 mins ago
Staff Silicon Validation Software Engineer - 17309
Synopsys
Mississauga, ON
As a seasoned Software Engineer, you bring a strong combination of software expertise and hands-on experience in silicon validation environments. You are passionate about building software…
Added 13 mins ago
Staff Validation/Verification Engineer - 17399
Synopsys
Ottawa, ON
We are seeking a Staff Validation Engineer to own bring-up, validation, characterization, and debug of high-speed memory PHY subsystems including DDR, LPDDR, and HBM. You will work across…
Added 13 mins ago
DevOps Engineer - EA SPORTS™ TECHNOLOGY
Electronic Arts
Vancouver, BC
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 13 mins ago
Advanced DevOps Games Software Engineer - American Football
Electronic Arts
Victoria, BC
Reporting to a Software Engineering Manager, as an Advanced DevOps & Automation Engineer, you will be responsible for designing, implementing, and maintaining scalable systems and tools…
Added 13 mins ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 13 mins ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
AI Engineer Intern – Creative Innovations (Character Pipelines)
Added 13 mins ago
Advanced Online Software Engineer – EA SPORTS FC
Electronic Arts
Vancouver, BC
The Online Software Engineer will help build networked game experiences for EA Sports titles. We are looking for engineers who enjoy prototyping, planning, implementing, and maintaining…
Added 13 mins ago
Machine Learning Engineer III
Electronic Arts
Vancouver, BC
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 13 mins ago
Full-Stack Software Engineer III
Electronic Arts
Vancouver, BC
…we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new…
Added 13 mins ago
Anti-Cheat Operations Engineer
Electronic Arts
Vancouver, BC
…we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new…
Added 13 mins ago
Site Reliability Engineer III
Electronic Arts
AB · Toronto, ON · Victoria, BC · Vancouver, BC · Edmonton, Alberta
Production Infrastructure & Engineering (PI&E) organization provides the essential platforms and infrastructure hosting solutions that power EA's live services. Our charter is to make EA's…
Added 13 mins ago
Student, Associate Software Engineer (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
…deliver core data and application pipelines, frameworks, and infrastructure that enable our business to provide insights and respond to client needs in…
Added 13 mins ago
Site Reliability Engineer
Electronic Arts
Vancouver, BC
The Site Reliability Engineer will report to the Director of Engineering
Added 13 mins ago
Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer
Electronic Arts
Montreal, QC · Vancouver, BC
As an MLOps Engineer, you will work closely with researchers to optimize models, help shape the data they need for training, and instrument the system to measure and improve model…
Added 13 mins ago
Développeur.se principal.e de l’infrastructure / Lead Infrastructure Developer
Electronic Arts
Montreal, QC · Vancouver, BC
As Lead Infrastructure Engineer, you will own the GPU fleet our researchers train on including capacity, scheduling, diagnostics, and support. You will set technical direction for GPU…
Added 13 mins ago
Software Engineer - Devops Automation, Perforce
Electronic Arts
Vancouver, BC
We are looking for a DevOps engineer with strong Linux experience who enjoys eliminating manual work. If you like turning scripts and repetitive procedures into reliable automation,…
Added 13 mins ago
Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior ML Data Engineer, you will own the layer between raw game capture and research-ready datasets. You will define how multimodal game data is structured, enriched, evaluated,…
Added 13 mins ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts
Vancouver, BC
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 13 mins ago
Senior DevOps Engineer - PA145
ZoomInfo Technologies LLC
Toronto, ON
Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
Added 13 mins ago
HVAC System Engineer
Alstom
Saint-Bruno, QC
…metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every…
Added 27 mins ago
Two Way Radio Communications Service Technician
Ptp Telecommunications
Field, BC
$26.06 CAD / hour
Full-time
Maintaining internal and customer infrastructure

Closed listing

GEI Consultants, Inc.

AI Engineer

Guelph, 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

Similar jobs hiring now

Added 11 mins ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens · Kitchener, ON, Canada
Added 11 mins ago
Machine Learning Systems and Infrastructure Developer
Siemens · Kitchener, ON, Canada
Added 13 mins ago
St Staff R&D Engineer
Synopsys · Waterloo, ON, Canada
Added 29 mins ago
Quality Assurance Engineer
Arrow · Cambridge, ON, Canada

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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 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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