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Added 1 hour ago
Senior Manager, Engineering & Build
Royal Bank of Canada
Toronto, ON
Full-time
Data governance controls: Data quality frameworks, source-to-target reconciliation, lineage concepts and tooling, purge/retention strategies.
Added 1 hour ago
Environmental Hydrogeologist
KGS Group
Winnipeg, MB · Greater Winnipeg Metropolitan Area
Contract
Strong organization and planning skills; strong data analysis and technical writing skills. Ability to present information concisely and clearly. Focus on quality and technical excellence
Added 1 hour ago
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
Full-time
Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 1 hour ago
Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer
Electronic Arts (EA)
Vancouver, BC
Full-time
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 1 hour ago
QA Automation Engineer
CGI
Toronto, ON
Full-time
We are looking for an experienced QA Automation Engineer to support the design, development, and implementation of enterprise-scale automation solutions across desktop, web, and API…
Added 1 hour ago
Quality Engineering
CGI
Toronto, ON
Full-time
We are seeking an experienced Quality Engineer (QE) with strong hands-on functional testing expertise to support complex enterprise applications. The ideal candidate will have experience…
Added 1 hour ago
Quality Assurance Automation Engineer
Insight Global
Mississauga, ON
$85,000 to $95,000 CAD / year
Full-time
Ability to assess the quality of requirements and user stories (identify gaps/ambiguity before building tests)
Added 1 hour ago
QA Engineer - Data, ETL and API Testing
CGI
Toronto, ON
Full-time
We are looking for a skilled QA Engineer with experience in data validation, ETL testing, API testing, and cloud-based data platforms. The successful candidate will bring strong analytical…
Added 1 hour ago
Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer
Electronic Arts (EA)
Montreal, QC
Full-time
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 2 hours ago
Associate Engineer (Front End)
Xero
Remote, Canada
Full-time · Remote
As an Associate Engineer, you will help supercharge small businesses by writing clean, reliable code and delivering well-defined features that directly support our product outcomes. Working…
Added 2 hours ago
Data Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
Implement data quality, monitoring, observability, and operational controls.
Added 2 hours ago
UX Designer
First National Financial LP
Toronto, ON · East York, ON
Full-time
…Underwriting Business SME, the AI Engineering Lead, engineers, and quality teams to make AI outputs understandable and actionable, design effective human review and exception paths, and…
Added 3 hours ago
Java Engineer
Jobright.ai
Canada
Full-time
…process and helps users reach better job outcomes. The Java Engineer develops and maintains backend services, APIs, database integrations, tests, and technical documentation while…
Added 3 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Implement data quality, validation, transformation, and reconciliation processes.
Added 3 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Own data quality, monitoring, observability, and cost optimization strategies across the data platform.
Added 3 hours ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 3 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 3 hours ago
Software Development Engineer, Senior Leader Experiences - Workforce Planning
Amazon
Vancouver, BC
…mechanisms and products that guide leaders to inspect and make data-driven decisions to improve their organizational operating models, and plans to guide their outlook year for workforce…
Added 3 hours ago
Software Developer
Cisco
Montreal, QC
Full-time
…meaningful and efficient manner, implement it. As part of this, the engineer is encouraged to collaborate with various teams including PM, cross functional teams and TMEs. You're expected…
Added 3 hours ago
Senior Geotechnical Engineer, Tailings & Mine Waste
Equilibrium
Canada
Full-time
Senior Geotechnical Engineer | Tailings & Mine Waste | P.Eng
Added 3 hours ago
Senior Software Engineer, Rider
CapitalG
Toronto, ON
Full-time
…technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that…
Added 3 hours ago
Bim Coordinator
AtkinsRéalis
Toronto, ON · Montreal, QC
Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 3 hours ago
Director, Financial planning and analysis, Nuclear Sector
AtkinsRéalis
Mississauga, ON · Montreal, QC
Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 3 hours ago
Project Engineering Coordinator
AtkinsRéalis
Mississauga, ON
Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 3 hours ago
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
Full-time
Strong knowledge of geospatial formats, coordinate systems, data schemas, validation rules, and data-quality principles.

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

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