Find work in Canada.

331,066 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
Senior Customer Engineer, Named - Toronto Canada
Cloudflare
Toronto, ON
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap…
Added 20 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
…clients’ digital transformation projects. You’ll also engage with client stakeholders, own technical workstreams end-to-end and ensure security recommendations align with business goals and…
Added 22 hours ago
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
Full-time
3-5 years of consulting experience in data and analytics, with demonstrated client-facing capabilities
Added 23 hours ago
Python Fullstack Developer
Genpact
Montreal, QC
$70,000 to $80,000 CAD / year
Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 1 day ago
Rail Requirements Management Specialist
Egis in Canada
Toronto, ON
$120,000 to $140,000 CAD / year
Full-time
…while engaging with key internal and external stakeholders with client facing delivery to gain hands-on experience in a real-world engineering…
Added 1 day ago
Rail Requirements Management Specialist
Egis Group
Toronto, ON
$120,000 to $140,000 CAD / year
Full-time
…while engaging with key internal and external stakeholders with client facing delivery to gain hands-on experience in a real-world engineering…
Added 1 day ago
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
Full-time
…Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States…
Added 1 day ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Prior client-facing, consulting, or forward-deployed delivery experience.
Added 1 day ago
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
25% Writing Code. The glue, the middleware, the automations, and the occasional custom interface. Python or TypeScript, small services, webhooks, scheduled jobs, data transforms. Clean…
Added 1 day ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Prior client-facing, consulting, or forward-deployed delivery experience.
Added 1 day ago
Forward Deployed Agile Software Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 1 day ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
Full-time
Mid-level hands-on technical experience, including client-facing capacity.
Added 1 day ago
Senior Agentic Engineer - JavaScript
Urban Ridge Supplies
Toronto, ON
Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 1 day ago
Software Engineer II (AI Integration)
Urban Ridge Supplies
Toronto, ON
Full-time
…Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States…
Added 1 day ago
Forward Deployed Agile Software Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 1 day ago
Senior Agentic Engineer - JavaScript
Urban Ridge Supplies
Toronto, ON
Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 1 day ago
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
Other
Experience in AI consulting or client-facing environments
Added 1 day ago
Engineer II - IAM Federation Services
TD
Toronto, ON
Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 1 day ago
Engineer II - IAM Federation Services
TD
Toronto, ON
Full-time
Hands-on experience with Python, Java, Java Spring and SQL
Added 2 days ago
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
Full-time
Experience in AI consulting or client-facing environments
Added 2 days ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Strong Python proficiency and practical experience using Python-based tooling for data engineering, automation, platform development, or AI engineering workflows.
Added 3 days ago
Principal Python Engineer (AI Experience REQUIRED)
Luxoft
Toronto, ON
Full-time
Prior consulting, advisory, or client-facing delivery experience
Added 3 days ago
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
Full-time
…artificielle évolutives, alignées sur la stratégie d’affaires du client et les bénéfices attendus. À titre de conseiller(ère) technique et d’expert(e)-conseil en IA, cette personne…
Added 3 days ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
…engineering, automation, and modern software development. You have experience through academic projects, internships, co-op placements, or professional experience using programming…
Added 3 days ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
…engineering, automation, and modern software development. You have experience through academic projects, internships, co-op placements, or professional experience using programming…

KPI Mining Solutions

AI Engineer/Ingénieur(e) en intelligence artificielle

Montréal-Ouest, QC, Canada

Job type: Full-time
Apply by: Oct 1, 2026
Experience: 7+ years of experience in software development or AI engineering roles
Posting language: English · French
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

At KPI, our vision is to advance the world through the power of people and technology.

Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled expertise, and breadth of services to do what matters for our clients and their customers.

Join a team that is immersed in a high-tech and very dynamic environment where projects and workdays are never the same.

About The Role

We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics team, you will design, build, evaluate, and optimize AI solutions with a strong focus on Large Language Models (LLMs), DevOps pipelines, and Azure cloud services. You are a proactive and autonomous professional who thrives in a fast-paced consulting environment and is capable of delivering end-to-end AI-driven solutions.

Key Responsibilities

Design, develop, and deploy AI models and services, with a focus on LLMs and generative AI technologies
Evaluate the quality, performance, and ethical alignment of LLM outputs across business use cases
Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning
Collaborate with cross-functional teams to integrate AI models into client applications and platforms
Apply DevOps/MLOps practices for continuous integration, automated testing, and model deployment
Lead technical discussions with clients and internal stakeholders in both French and English
Maintain high standards of code quality, performance, and documentation
Stay up to date with the latest trends and advancements in AI, machine learning, and cloud services
Proficient in end-to-end software development with the ability to autonomously architect, code, test, and deploy scalable applications, ensuring alignment with system requirements and DevOps best practices.
Strong proficiency in SQL is required, with the ability to write complex queries, optimize database performance, and manage relational data across large-scale systems.

Required Skills And Qualifications

7+ years of experience in software development or AI engineering roles
Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques
Deep understanding of DevOps or MLOps pipelines (CI/CD, version control, containerization, etc.)
Experience with cloud infrastructure (preferably Azure) and AI-related services
Strong ability to independently manage and deliver projects from concept to production
Demonstrated capacity to critically assess model outputs, including bias, hallucination, and relevance
Bilingual proficiency in French and English (oral and written) is required
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

Experience in AI consulting or client-facing environments
Knowledge of ethical AI practices and model governance
Familiarity with REST APIs, front-end integration, and data visualization tools
Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)

Why Join Us

Work on high-impact projects that shape the future of AI in business
Collaborate with top-tier professionals in an innovation-driven team
Access to continuous learning and career growth opportunities

Benefits

The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
Permanent, full-time job (40 hours a week).
Hybrid (work from home and/or office) and flexible schedule.
Competitive salary and bonus structure.
Attractive group insurance plan.
Retirement savings plan with matching.
Family company culture.
Flex-Fridays in the summer.
Free use of the gym within building.
Subsidized catering service & free snacks at the office.
Vacation days plus 6 personal days per year.
Casual work environment: jeans-friendly!

Proudly a Great Place to Work!

As you bring your experience and skills to KPI Digital, you’ll get a unique experience, ambitious growth, and limitless learning in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.

You’ll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.

Read the full bilingual original

About KPI

At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help KPI become even better, too.

At KPI, our vision is to advance the world through the power of people and technology.

Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled expertise, and breadth of services to do what matters for our clients and their customers.

Join a team that is immersed in a high-tech and very dynamic environment where projects and workdays are never the same.

About The Role

We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics team, you will design, build, evaluate, and optimize AI solutions with a strong focus on Large Language Models (LLMs), DevOps pipelines, and Azure cloud services. You are a proactive and autonomous professional who thrives in a fast-paced consulting environment and is capable of delivering end-to-end AI-driven solutions.

Key Responsibilities

Design, develop, and deploy AI models and services, with a focus on LLMs and generative AI technologies
Evaluate the quality, performance, and ethical alignment of LLM outputs across business use cases
Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning
Collaborate with cross-functional teams to integrate AI models into client applications and platforms
Apply DevOps/MLOps practices for continuous integration, automated testing, and model deployment
Lead technical discussions with clients and internal stakeholders in both French and English
Maintain high standards of code quality, performance, and documentation
Stay up to date with the latest trends and advancements in AI, machine learning, and cloud services
Proficient in end-to-end software development with the ability to autonomously architect, code, test, and deploy scalable applications, ensuring alignment with system requirements and DevOps best practices.
Strong proficiency in SQL is required, with the ability to write complex queries, optimize database performance, and manage relational data across large-scale systems.

Required Skills And Qualifications

7+ years of experience in software development or AI engineering roles
Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques
Deep understanding of DevOps or MLOps pipelines (CI/CD, version control, containerization, etc.)
Experience with cloud infrastructure (preferably Azure) and AI-related services
Strong ability to independently manage and deliver projects from concept to production
Demonstrated capacity to critically assess model outputs, including bias, hallucination, and relevance
Bilingual proficiency in French and English (oral and written) is required
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

Experience in AI consulting or client-facing environments
Knowledge of ethical AI practices and model governance
Familiarity with REST APIs, front-end integration, and data visualization tools
Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)

Why Join Us

Work on high-impact projects that shape the future of AI in business
Collaborate with top-tier professionals in an innovation-driven team
Access to continuous learning and career growth opportunities

Benefits

The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
Permanent, full-time job (40 hours a week).
Hybrid (work from home and/or office) and flexible schedule.
Competitive salary and bonus structure.
Attractive group insurance plan.
Retirement savings plan with matching.
Family company culture.
Flex-Fridays in the summer.
Free use of the gym within building.
Subsidized catering service & free snacks at the office.
Vacation days plus 6 personal days per year.
Casual work environment: jeans-friendly!

Proudly a Great Place to Work!

As you bring your experience and skills to KPI Digital, you’ll get a unique experience, ambitious growth, and limitless learning in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.

You’ll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.

À Propos De KPI

Chez KPI, vous aurez la chance de bâtir une carrière aussi unique que vous, dans une culture inclusive avec la technologie et le soutien nécessaires pour devenir la meilleure version de vous‑même. Votre voix et votre perspective uniques nous aideront à faire évoluer KPI encore davantage.

Notre vision chez KPI est de faire progresser le monde grâce au pouvoir des gens et de la technologie.

Fondée il y a plus de 20 ans au Québec, KPI est reconnue comme un leader canadien dans l’écosystème des données, de l’analytique et de l’IA. Chaque jour, notre équipe met son expertise de pointe et sa vaste gamme de services au profit de nos clients et de leurs utilisateurs finaux.

Rejoignez une équipe dynamique et technologique où chaque projet et chaque journée sont différents.

À propos du poste

Nous recherchons un(e) Ingénieur(e) en intelligence artificielle possédant une expertise technique approfondie et une passion pour l’innovation en IA et en apprentissage automatique. Au sein de notre équipe IA et analytique avancée, vous concevrez, développerez, évaluerez et optimiserez des solutions IA, avec une forte emphase sur les grands modèles de langage (LLM), les processus DevOps et les services cloud Azure. Vous êtes un(e) professionnel(le) autonome, proactif(ve), capable de livrer des solutions IA de bout en bout dans un environnement de consultation dynamique.

Responsabilités principales

Concevoir, développer et déployer des modèles et services d’IA, notamment basés sur les LLMs et les technologies d’IA générative
Évaluer la qualité, la performance et l’alignement éthique des résultats des LLM selon les cas d’usage
Développer et mettre en œuvre des flux de travail IA évolutifs en Python, avec des bibliothèques ML et Azure Machine Learning
Collaborer avec des équipes multidisciplinaires pour intégrer les modèles IA dans les applications et plateformes clients
Appliquer les pratiques DevOps/MLOps pour l’intégration continue, les tests automatisés et le déploiement de modèles
Diriger des discussions techniques avec les clients et les parties prenantes internes en français et en anglais
Maintenir des standards élevés de qualité de code, de performance et de documentation
Se tenir à jour des dernières tendances en IA, apprentissage machine et services infonuagiques
Réaliser le développement logiciel complet de façon autonome : architecture, codage, tests et déploiement d’applications évolutives, alignées aux exigences système et meilleures pratiques DevOps
Maîtrise du langage SQL essentielle : rédiger des requêtes complexes, optimiser les performances et gérer les données relationnelles à grande échelle

Compétences Et Qualifications Requises

7+ années d’expérience en développement logiciel ou en ingénierie IA
Solide maîtrise de Python et des frameworks ML (p. ex. : PyTorch, TensorFlow, HuggingFace)
Expérience avérée avec les LLMs, les pipelines NLP et les techniques de prompt engineering
Compréhension approfondie des pipelines DevOps/MLOps (CI/CD, contrôle de version, conteneurisation, etc.)
Expérience avec l’infrastructure cloud (préférablement Azure) et les services liés à l’IA
Forte autonomie dans la gestion et la livraison de projets, du concept à la mise en production
Capacité démontrée à évaluer de manière critique les résultats des modèles (biais, hallucinations, pertinence)
Bilinguisme français/anglais requis (oral et écrit)
Baccalauréat ou maîtrise en informatique, en ingénierie ou dans un domaine connexe

Atouts supplémentaires

Expérience en consultation IA ou en contexte client
Connaissance des pratiques éthiques en IA et de la gouvernance des modèles
Familiarité avec les APIs REST, l’intégration front‑end et les outils de visualisation de données
Certification Azure (p. ex. : Azure AI Engineer Associate ou Azure Data Scientist)

Pourquoi nous rejoindre

Travailler sur des projets à fort impact qui façonnent l’avenir de l’IA dans les affaires
Collaborer avec des professionnels de haut calibre dans une équipe axée sur l’innovation
Accès à l’apprentissage continu et à de nombreuses opportunités de croissance

Avantages

Rejoindre un réseau professionnel prestigieux et en pleine expansion
Poste permanent à temps plein (40 heures/semaine)
Horaire flexible et modèle hybride (télétravail et/ou au bureau)
Salaire concurrentiel avec bonification
Régime d’assurances collectives attrayant
Régime d’épargne‑retraite avec contribution de l’employeur
Culture d’entreprise familiale
Vendredis flexibles durant l’été
Accès gratuit au gym de l’immeuble
Service de traiteur subventionné et collations gratuites au bureau
Jours de vacances + 6 journées personnelles par année
Environnement de travail décontracté : jeans acceptés !

Fièrement certifiée « Great Place to Work » !

En rejoignant KPI Digital, vous mettez à profit vos compétences dans un environnement stimulant avec un apprentissage illimité et des opportunités ambitieuses de croissance. Notre culture inclusive et diversifiée alimente notre créativité, notre innovation et notre impact – tant auprès de nos clients que dans la communauté.

Vous ferez partie d’une communauté de collaborateurs intelligents et solidaires, prêts à vous guider mais aussi à bénéficier de votre expertise. Vous rejoindrez une entreprise tournée vers des solutions technologiques critiques, conçues pour améliorer la façon dont les humains travaillent, interagissent et vivent.

Apply About employer

More about this job

Responsibilities

Design, build, evaluate, and deploy scalable AI solutions, particularly LLM and generative AI applications, using Python, machine learning frameworks, and Azure services. Apply DevOps/MLOps practices, assess model quality and ethical alignment, integrate solutions into client platforms, and lead technical discussions with clients and internal teams.

Requirements

Requires at least seven years of software development or AI engineering experience, strong Python and machine learning framework skills, hands-on experience with LLMs, NLP, prompt engineering, DevOps/MLOps, Azure, and SQL. A bachelor's or master's degree in computer science, engineering, or a related field is required, along with professional fluency in French and English.

Skills

Python
Large Language Models
Generative AI
Machine Learning
PyTorch
TensorFlow
Hugging Face
Natural Language Processing
Prompt Engineering
Azure Machine Learning
DevOps
MLOps
SQL
CI/CD
Model Evaluation
Bilingual Communication

Benefits

Competitive Salary and Bonus Structure
Group Health Insurance
Retirement Savings Plan with Employer Matching
Flexible Schedule
Hybrid Work Arrangement
Summer Flex Fridays
Free Gym Access
Subsidized Catering
Free Office Snacks
Vacation Days
Six Personal Days per Year

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Generative AI
Python
PyTorch
TensorFlow
Hugging Face
Natural Language Processing
Prompt Engineering
Azure
Azure Machine Learning
Cloud Infrastructure
DevOps
MLOps
CI/CD
Version Control
Containerization
SQL
Relational Databases
REST APIs
Model Governance
Ethical AI
Bias Assessment
Hallucination Assessment
Model Deployment
Automated Testing
Software Architecture
Data Visualization
Azure AI Engineer Associate

Report this job