Top AI Jobs in Montreal

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Defines enterprise technology, AI, data, and analytics architecture strategies for a financial investment organization. Evaluates emerging technologies, establishes reference architectures and reusable patterns such as multi-agent systems, RAG, GraphRAG, and hyperautomation, and guides delivery teams on technology decisions. Contributes to architecture governance, risk mitigation, technology roadmaps, and enterprise capability evolution while aligning business, data, AI, security, and platform teams.

L’architecte d’entreprise élabore les architectures actuelles, transitoires et cibles ainsi que les feuilles de route technologiques. Il évalue la santé du portefeuille, recommande la modernisation et la rationalisation, dirige les revues d’architecture et conseille les dirigeants sur les décisions technologiques. La personne titulaire soutient les transformations stratégiques dans les domaines commerciaux, financiers, de la chaîne d’approvisionnement et des services d’entreprise, tout en évaluant les possibilités liées à l’IA, à l’automatisation et aux technologies émergentes.

Software Engineering Intern contributing to a next-generation network management service. Responsibilities may include systems software, automated and end-to-end testing, performance and scale analysis, debugging, developer tooling, and code reviews. The intern will use AI coding tools throughout the software development lifecycle while validating AI-generated work through tests, measurements, and engineering judgment under senior developer mentorship.

Lead and coordinate quality assurance activities across multiple projects and delivery teams. Define testing strategies, priorities, schedules, quality criteria, traceability, and acceptance thresholds. Mentor QA analysts and testers, manage defect triage, track quality metrics, and communicate risks to stakeholders. Oversee functional, integration, regression, end-to-end, and user acceptance testing. Administer Jira and Xray while integrating AI-assisted testing within agile, DevOps, and CI/CD environments.

Lead Canada’s enterprise architecture strategy and modernization roadmap, including cloud, data, and AI enablement. Translate business strategies into architecture plans for major enterprise platforms, establish governance and standards, promote API-first, event-driven, and cloud-native designs, and develop data semantics and knowledge graphs. Advise executives on technology investments and risks, resolve complex architecture challenges, participate in architecture review governance, and mentor architects while building communities of practice in a global matrixed environment.

Designs, builds, and maintains automated test environments and regression suites for integrated fire alarm products. Develops Python automation tools, configures hardware test equipment, maintains CI/CD verification pipelines, analyzes failures with AI-assisted techniques, and supports root-cause investigations. The role improves automated test coverage, reduces manual testing, and strengthens product quality and release confidence through hardware-software integration and continuous verification.

Développer des produits logiciels robustes, maintenables et évolutifs avec Kotlin, AWS, PostgreSQL, Docker, React et TypeScript. Collaborer avec les développeurs, designers et Product Owners, appliquer les bonnes pratiques de qualité logicielle et intégrer l’intelligence artificielle de façon responsable dans les produits et processus de développement. Participer au partage de connaissances, à l’apprentissage continu et à l’amélioration des pratiques d’équipe.

Two-year engineering rotation program for new graduates, featuring four assignments across CAE business units. Participants develop technical, leadership, innovation, and problem-solving skills while working with simulation and training technologies. Assignments may include software development, cloud and web technologies, CAD, design, quality assurance, testing, integration, continuous improvement, budget monitoring, and project management.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Stage au sein du Service Formation Clients de Thales visant à améliorer et industrialiser la création de contenus pédagogiques numériques. Les missions incluent l’analyse des pratiques, la capitalisation des méthodes, le développement de solutions de génération de contenus LMS, la création de documents interactifs, l’automatisation de la publication et de la mise en forme, la documentation utilisateur et l’accompagnement des formateurs.

Design, develop, test, and maintain scalable full-stack applications across frontend and backend systems. Build AI features using LLMs, contribute to data pipelines and infrastructure, monitor production systems, improve architecture, and reduce technical debt. Provide technical leadership through code reviews, mentoring, roadmap planning, automated testing, and technical decision-making. Collaborate with product teams to deliver customer-focused features while promoting observability, maintainability, security, and continuous delivery.

Automate quality assurance for an AI assistant using Python, TypeScript, eval suites, automated tests, and CI regression checks. Define answer-quality rubrics, analyze real conversation failures, test retrieval, prompts, tools, agents, cost, speed, safety, and security risks. Collaborate with developers, product, and design teams on acceptance criteria and release readiness. The role emphasizes AI evaluation, adversarial testing, exploratory testing, and building tools for non-developers.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Lead strategy, roadmap, and execution for corporate website and customer web apps. Integrate AI across workflows, drive LLM-aware content/SEO, optimize performance, mentor full‑stack developers, and partner with design, product, and marketing to evolve the design system and improve conversions.

Design, prototype, implement, optimize, and maintain gameplay AI systems and mechanics for an AAA action-adventure RPG. Collaborate with programmers, designers, animators, and content teams; create debugging tools and documentation; optimize performance across platforms; and apply current game-development best practices.

Design and implement AI systems in Unreal Engine, focusing on combat behaviors, enemy decision-making, group coordination, and NPCs. Prototype and iterate directly in-engine, collaborate with engineers, animators, and gameplay designers, debug performance issues, document scalable designs, and establish best practices for combat AI. The role requires strong game design experience, technical problem-solving, fluency in French, and working proficiency in English.

Interns build backend services, APIs, distributed systems, platform components, developer tools, and AI/ML infrastructure. Responsibilities span design, implementation, testing, deployment, maintenance, reliability, performance optimization, observability, and collaboration with Product, ML, Infrastructure, and customer-facing teams. The role is intended for undergraduate juniors and seniors graduating by June 2028 and offers mentorship through production-focused engineering work.

Build and lead UI tooling and AI-powered workflows for Unreal Engine. Responsibilities include designing UI authoring, iteration, and debugging systems; evolving UI technology; setting technical direction; mentoring programmers; resolving performance and memory issues; and supporting internal teams and licensees with UI challenges.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.

Build and scale customer-facing Android marketplace applications using Kotlin, Compose, and modern Android architecture. Own complex features end to end, lead technical direction, improve testing and CI/CD, support releases and observability, and modernize legacy codebases. Use AI tools for coding, testing, debugging, documentation, and operational efficiency while mentoring engineers and collaborating with product, design, backend, platform, QA, and iOS teams.

Develop and maintain enterprise software using C#/.NET and C++, while championing AI-assisted coding practices. Evaluate AI coding agents, improve productivity, testing, debugging, documentation, and code quality, and mentor developers on secure, responsible tool usage. Participate in Agile/Scrum delivery, design, coding, testing, reviews, continuous integration, release readiness, and technical decision-making. The role is remote but limited to candidates located in Canada.