Top AI Jobs in Montreal

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.

Leads a Personal Lines software development value stream, including multiple engineering squads and managers. Owns delivery, technology roadmaps, architecture, technical health, portfolio prioritization, budgets, talent development, AI adoption, continuous delivery, resilience, security, and compliance. Partners with business stakeholders and technology teams to drive productivity, quality, predictability, modernization, and a product-centric operating model.

Designs and evolves complex, scalable software solutions aligned with business and technology objectives. Responsibilities include application architecture, API and microservices design, serverless and cloud-native AWS solutions, security and compliance standards, technology evaluation, AI integration, and technical guidance. The role advises stakeholders, mentors development teams, promotes DevSecOps practices, and influences enterprise technology direction and engineering standards.

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.

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, 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.

Deploy, test, commission and troubleshoot AI control algorithms and BMS/HVAC control systems. Perform onsite edge device installation, optimize building energy and comfort, analyze performance/trend logs, train customers, document procedures, and collaborate cross-functionally to improve tools and HVAC control sequences.

As a Senior Full Stack Agentic AI Developer, you will design and implement scalable solutions, collaborate globally, and leverage GenAI tools to enhance AI development capabilities.

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.

Design, build, and maintain enterprise B2B clinical software using C#, .NET Core, Java, Angular/React, and Kubernetes. Use AI coding assistants to generate and validate code and unit tests, produce technical documentation, participate in code reviews, maintain clinical data integrations (HL7 v2), and ensure compliance with healthcare regulations while owning features end-to-end from requirements to production.

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

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.

Design and implement robust bimanual manipulation algorithms and train learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception, semantic task understanding, and low-level control. Ship production-quality Python and C++ code, profile and scale the autonomy stack, and work with high-fidelity simulators for sim-to-real transfer.

Develop and maintain application modules using AI coding assistants across a C#/.NET/Windows Forms and Oracle stack. Troubleshoot multi-system integrations, modernize legacy components, optimize queries and performance, extend CI/CD pipelines, perform AI-aware code reviews, and own deliverables from requirements to production while following Canadian privacy standards.

Lead two subgroups (AI Control Integration and AI Control Engineering) to deliver scalable BrainBox AI solutions. Manage integration, deployment, and controls engineering teams; translate strategy into plans; monitor KPIs and dashboards; standardize deployment practices; coordinate cross-functional handoffs; drive process improvements, capacity planning, training, and AI-driven automation to improve operational efficiency and deployment readiness.

Integrate and deploy AI-enabled HVAC controls for building automation: use Python and front-end tools, test and deploy algorithms, support project handoffs, configure BAS/DDC/PLC, document HVAC designs and procedures, and provide post-deployment support across cross-functional teams.

Lead the Integration team to deliver scalable BrainBox AI deployments by managing daily execution, translating strategy into plans, coordinating cross-functional handoffs, monitoring KPIs, standardizing deployment practices, and driving process improvements and AI-driven automation to increase operational efficiency.

Integrate and deploy AI-driven HVAC control solutions by mapping client data to internal standards, testing and deploying algorithms, supporting project handoffs, documenting building HVAC systems and control hierarchies, and coordinating cross-functional onboarding and post-deployment support.

Design, implement, and maintain gameplay systems in Unreal Engine, collaborating with teams to optimize performance and document code.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead engineering execution and manage a senior team developing Thunderbolt, an open-source enterprise AI product. Establish scalable planning, code review, testing, release, documentation, and quality practices while contributing code and reviewing technical work. Partner with product and technical leadership to translate AI strategy into delivery plans, improve reliability and enterprise readiness, support customer-controlled architectures, and grow the engineering organization through hiring, coaching, and resource planning.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.