Top AI Jobs in Montreal

Design, build, and operate scalable backend services, APIs, and data models for Expedia's content and product catalog systems. Lead system and low-level design, end-to-end feature delivery, CI/CD, observability, incident response, and operational excellence. Collaborate with product, architecture, and engineering teams, mentor developers, and integrate AI/ML solutions to improve content quality, coverage, and developer productivity.

Develop web or mobile applications, write clean and maintainable tested code, participate in code reviews and architecture discussions, and collaborate with product, design, QA, and project management teams. The intern will take part in Agile ceremonies, contribute process improvements, use modern technologies, deliver concrete project results, and continue developing software skills in a collaborative environment.

Leads global engineering systems, governance, standards, and digital transformation across Sedgman’s international engineering network. Establishes scalable frameworks, integrates engineering tools and processes, advances BIM/CDE, data and AI-enabled capabilities, and uses performance insights to improve quality, productivity, predictability, and project outcomes. Partners with regional leaders, manages software vendor governance and strategic investments, and aligns engineering capabilities with business priorities. The role requires extensive engineering design, EPCM, multidisciplinary leadership, and global matrix experience, plus fluent French and strong English.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Designs and owns end-to-end client production architectures across cloud, hybrid infrastructure, networks, databases, integrations, security, observability, and SRE. Supports pre-sales architecture, TCO analysis, and Statements of Work, while guiding implementation and operations. Diagnoses complex production failures, leads high-severity incidents, improves reliability and performance, and establishes CI/CD, disaster recovery, and SRE practices. Partners with clients and cross-functional teams, mentors technical staff, and promotes responsible AI integration. French-English bilingualism is mandatory.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

The engineer will develop water management plans for mining projects, conduct hydrological studies, design hydraulic structures, and collaborate in multidisciplinary teams.

Designs functional and technical IT solutions, including workflows, business rules, integrations, and AI-enabled products. Collaborates with architects, developers, business analysts, QA teams, and business partners to align solutions with architecture and standards. Supports estimation, planning, testing, defect analysis, deployments, and production activities while maintaining documentation. Mentors colleagues and promotes knowledge sharing. The role requires experience with complex application environments, Agile/Scrum, Azure-based development, and technologies including .NET, databases, messaging platforms, containers, and mainframes.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Lead developer enablement to drive adoption of AI-powered coding tools across the firm. Run demos, workshops, and office hours; create reusable examples and guidance; collect developer feedback; define responsible usage and success metrics; partner with platform, risk, tooling, and engineering leaders to remove blockers and promote proven patterns in a regulated enterprise environment.

The VP of Engineering will own engineering strategy, architecture, scaling, hiring, performance management, and people development. This hands-on leader will write and review code, establish technical direction across two pods, develop engineers into technical leads, represent engineering to executives, and partner cross-functionally to prioritize and deliver critical work. Experience in healthcare, HIPAA, or SOC 2 environments is preferred.

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.

Design, implement, optimize, and maintain performance-critical systems in Unreal Engine across Engine, Rendering, AI, or UI. Translate requirements into scalable C++ code, debug complex runtime issues, profile and optimize performance, integrate with artists/designers, mentor junior engineers, and contribute to technical architecture and engine customizations for production-ready game systems.

Ingénieur Système pour produits radar secondaires IFF : définir caractéristiques fonctionnelles, réaliser modélisation et simulations, développer traitements algorithmiques, proposer évolutions, intégrer progressivement l'IA, contribuer à l'architecture système, analyser données radar, valider algorithmes, résoudre problèmes d'intégration et supporter présentations clients et démonstrations.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

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.

Build and own customer-facing product features end to end, from customer discovery and prototyping through production deployment and validation. Develop across Rails APIs, React and TypeScript frontends, AI agents, realtime voice, video, search, and analytics. Work autonomously with founders and product teammates, use AI coding tools daily, maintain production systems, make UX decisions, and take accountability for product outcomes.

Build and maintain complex Vue 3 frontend applications and Go backend APIs for a scalable cloud SaaS platform. Lead full-stack architecture decisions, optimize performance, accessibility, and user experience, and translate complex product requirements into customer-facing interfaces. Champion AI-first development across design, coding, testing, review, and delivery. Mentor engineers, conduct code reviews, improve engineering standards, and contribute to testing strategy, tooling, and CI/CD pipelines.

Design and develop full-stack applications for GenAI, focusing on efficient code in Python and TypeScript while maintaining system scalability and reliability.

Design and deliver scalable cloud services and full-stack features for a next-generation game creation platform. Optimize cloud applications, apply service architecture patterns, use agentic AI tools such as Claude Code, and manage CI/CD, monitoring, and database maintenance. The role also drives technical direction, aligns with leadership, and collaborates with AI, infrastructure, and data teams.

Develop and maintain healthcare application modules using multiple programming languages, Oracle, AI coding assistants, and complex integrations. Debug legacy and modern systems, create and evaluate automated tests, maintain HL7 clinical data pipelines, document solutions, review AI-generated code, and contribute to AI-enhanced features. Own deliverables through deployment while supporting compliance with Quebec healthcare regulations. The role requires strong communication in French and English, adaptability, and critical judgment when using AI tools.

Design, build, and maintain core AI gameplay systems for Fortnite. Collaborate with designers, artists, and engine teams to prototype and iterate AI features, optimize and fix bugs, and ensure high-quality cross-platform user experiences.