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.

Leads enterprise solution architecture for IT Services and digital transformation initiatives. Designs scalable, secure solutions across applications, APIs, data, cloud, infrastructure, security, automation, AI, and workflow platforms. Establishes architecture standards, governance, roadmaps, and reusable patterns; evaluates technology options and technical debt; supports modernization, resiliency, compliance, and strategic planning. Collaborates with business, engineering, infrastructure, security, audit, and telecom teams while mentoring stakeholders and guiding implementation.

Provides hands-on technical leadership for claims and billing core systems. Responsibilities include architecture, technology roadmaps, scalable and secure solution design, high-severity production issue resolution, AI and agentic AI implementation, emerging-technology research, prototyping, code reviews, and mentoring. The role influences engineering standards and senior technical leaders across the organization while collaborating with architects and executive stakeholders.

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.

Leads hands-on software engineering, architecture, AI adoption, and platform evolution. Develops and modernizes Angular and C#/.NET Core systems, scalable APIs, distributed architectures, real-time data platforms, cloud-native applications, and AI-powered features involving LLMs, agents, RAG, and intelligent search. Builds interactive data visualizations, optimizes performance and reliability, mentors engineers, supports technical direction, and contributes to production delivery and occasional onsite deployments.

Build and evolve an AI character platform spanning admin tooling, versioned REST APIs, external integrations, AWS infrastructure, deployment pipelines, and AI/media service integrations. The role emphasizes backend-focused full-stack development, reliability, access control, observability, on-call operations, and architectural collaboration while delivering scalable character interaction experiences.

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 the architecture and development of Jerry.ai’s next-generation AI agents and workflow automation platform. Own conversational interfaces, voicebots, computer-use agents, document validation, transaction orchestration, and integrations with external insurance systems. Evaluate emerging AI technologies, deploy production LLM systems, and partner with OpenAI on next-generation voice and automation capabilities. The role requires end-to-end software ownership, attention to evaluation, latency, cost, reliability, and failure handling.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

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.

Develop scalable, cloud-native SaaS capabilities using C#/.NET and Azure services while advancing AI-assisted software development practices. Responsibilities include architecture, implementation, testing, debugging, refactoring, code reviews, CI/CD, documentation, and technical leadership. The role requires hands-on use of AI coding agents and platforms, backend and distributed-systems expertise, and collaboration within an Agile Scrum team.

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.

Build and scale AI-agent infrastructure, including orchestration, tool calling, context management, guardrails, evaluations, and LLM-as-judge pipelines. Develop Python and Node.js microservices, Laravel APIs, AWS infrastructure, and optimized MySQL systems. Diagnose agent failures, improve prompts and tools, maintain reliability and observability, contribute to architecture, review code, collaborate cross-functionally, and mentor engineers.

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.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Leads architecture for Fortive’s HR technology ecosystem, including Oracle HCM, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and enterprise integrations. Defines API-first integration strategies, data governance, security standards, and modernization roadmaps. Designs and deploys AI, automation, NLP, and chatbot capabilities for HR workflows. Advises HR and IT stakeholders, guides vendors and technical teams, and mentors integration developers while ensuring compliance, data quality, and scalable platform architecture.