Top AI Jobs in Montreal

Leads and grows software engineering teams, including hiring, coaching, performance management, and career development. Defines technical strategy and roadmaps for backend, frontend, mobile, API, and AI-powered products. Oversees architecture, design reviews, cross-functional delivery, and production systems at scale while translating ambiguous customer problems into measurable outcomes. Partners with product, design, and customer teams and raises engineering quality, velocity, and organizational standards.

Leads the organization’s technology and digital strategy, including AI and automation integration, IT architecture modernization, data governance, business intelligence, cloud infrastructure, cybersecurity, and digital transformation. Oversees major technology projects, systems, budgets, vendors, and technical support while advising leadership and developing the technology team. The role also ensures secure management of sensitive data, adoption of digital tools, and alignment between technology priorities and organizational strategy.

Design, develop, test, debug, deploy, and maintain complex end-to-end software solutions using Java, Angular, and AWS. Analyze requirements, create technical specifications, review code and designs, mentor colleagues, resolve defects, support production activities, and ensure solution quality, security, performance, and maintainability. Collaborate with stakeholders and explore applications of artificial intelligence in software development.

Develop and enhance end-to-end software solutions using Java, Angular, and AWS. Responsibilities include system design, programming, testing, documentation, production support, performance optimization, project participation, technical leadership, mentoring, and process improvement. The role also contributes to AI integration and requires expertise in databases, web services, APIs, cloud services, and modern software development practices.

Leads the strategic vision, roadmap, governance, and evolution of software engineering platforms and developer experiences. Oversees CI/CD, automation, DevSecOps, security, observability, reliability, AI-enabled development, platform performance, budgets, vendors, and service commitments. Builds and develops multidisciplinary teams, manages technology transformation, and partners with business and IT stakeholders to drive adoption, measurable outcomes, and sustainable platform capabilities.

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.

Develop and evaluate artificial intelligence signal-processing solutions for IFF products. Responsibilities include studying existing processing chains, defining test strategies and metrics, adapting Python test tools, deploying treatments on FPGA/MPSoC targets, testing performance, and producing a demonstrator, associated test bench, and documentation.

Leads the strategic and operational direction of a WFM software engineering sub-function. Oversees multiple engineering teams through directors and managers, sets technical and organizational strategy, allocates resources and budgets, and drives reliable, scalable software delivery. Develops engineering leaders, establishes modern practices including AI-assisted development, CI/CD, automated testing, observability, and secure development, and partners cross-functionally on product roadmaps and complex technical decisions.

Le directeur adjoint soutient la directrice dans l’optimisation des solutions d’assurance collective, des finances et des soins de santé. Il dirige, mobilise et développe une équipe technologique, suit les indicateurs de performance, gère la capacité, favorise l’agilité et assure la stabilité ainsi que l’évolution des systèmes. Il contribue à la gestion du changement, à l’amélioration continue, à l’innovation et au respect des normes organisationnelles.

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.

Develop software, AI-assisted tools, simulations, analytics, and decision-support algorithms for subsea optical communication systems. Optimize EDFA and Raman backhaul links, assess cable aging, recommend remediation and retesting, automate cable upgrades, and support commissioning and network operations. Collaborate with optical, systems, DSP, and software engineers, interface with customers, demonstrate solutions, and evaluate AI-generated code for correctness, scalability, and maintainability.

Lead the App Excellence engineering domain across desktop, mobile, and browser platforms. Set strategy, manage through engineering managers and senior technical leaders, and establish practices for reliability, observability, quality, incident response, release readiness, and compatibility. Use customer and operational signals to guide priorities, coordinate cross-team dependencies, partner with Product, Design, Security, and Release Operations, and hire and develop leaders while improving delivery predictability and customer outcomes.

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.

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.

As a Staff Full Stack Developer, you will lead technical strategy and oversee both frontend and backend developments, ensuring integration and performance of Dialogue's ServiceOS while mentoring the engineering team.

Build, validate, and ship AI-assisted product features for Sentinel and Angel Host internal tools. Responsibilities include debugging, technical ticketing, QA and test automation, dashboard and data visualization work, CRM and Client Hub maintenance, Zapier and HubSpot automations, integrations, migrations, and researching emerging AI capabilities. The role translates business needs into specifications, follows structured development plans, documents product behavior, and collaborates with product, development, and operations teams in a hybrid Montreal setting.

Build and maintain AI-assisted automated testing across web, API, and mobile using Playwright. Integrate quality gates into GitHub Actions, reduce flaky tests, and provide functional, regression, API, performance, and exploratory testing. Evaluate AI-powered customer experiences, track quality metrics, convert defects into regression tests, and mentor QA engineers. Partner with engineering teams on risk-based test strategies, CI/CD validation, and responsible use of AI-generated test code.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, and experimental reasoning. Model and validate hardware systems against physical test data, create verification methodologies, investigate failures, and document reproducible technical solutions. The role requires substantial hardware engineering ownership, strong programming ability, quantitative reasoning, and mandatory hands-on experience with AI Coding Agents.

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.

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.