Top Tech Jobs & Startup Jobs in Montreal

Build and operate production AI capabilities, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. Develop reliable, measurable, safe AI systems; create evaluation harnesses and quality controls; monitor production behavior; and collaborate with backend, platform, product, and security teams in a client-facing consulting environment.

Lead governance, risk, and compliance activities for an enterprise AI platform, including SOC 2 and ISO 27001 readiness, control definition, evidence collection, audit preparation, customer security documentation, data handling, and compliance-by-design. Partner with engineering, security, product, auditors, and client stakeholders to automate practical controls, address gaps, support assessments, and strengthen customer assurance.

Design, build, deploy, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, metering, integrations, governed data access, and platform services. The role requires ownership of reliable distributed systems, including testing, monitoring, failure handling, and operational support, while collaborating with client product, engineering, data, and platform stakeholders in a consulting environment.

Designs, builds, and operates cloud infrastructure and reliability capabilities for an enterprise AI platform. Responsibilities include infrastructure as code, landing zones, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, on-premises, and customer-controlled environments. This remote, client-facing consulting role requires strong communication, production ownership, and the ability to balance reliability, delivery speed, security, and operational cost.

Own product direction for an enterprise AI platform, including product wedge, requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized decisions, manage technical and business trade-offs, collaborate with engineering and design partners, validate customer feedback, and communicate strategy, risks, progress, and impact to executives and clients in a consulting environment.

Design and secure enterprise AI platform foundations for mission-critical transportation and operational technology environments. Responsibilities include threat modeling, tenant isolation, identity and authorization architecture, secure CI/CD, compliance-by-design, and protection of systems executing untrusted code, tools, or agent actions. The role partners with client engineering, product, security, and business stakeholders to provide pragmatic guidance and enable reliable, compliant delivery.

Build and maintain customer-facing and administrative experiences for an enterprise AI platform. Responsibilities span front-end architecture, backend integrations, APIs, supporting services, complex B2B workflows, self-service builders, and delegated administration. The role owns features from customer problem discovery through production delivery, emphasizing usability, accessibility, performance, automated testing, quality, and maintainability. It also requires collaboration with product, design, platform engineering, clients, and external development teams in a remote consulting environment.

Designs, implements, migrates, and supports secure Microsoft 365, Azure, and Modern Work environments. Leads client-facing technical engagements, translates business requirements, manages project delivery, and develops Zero Trust-aligned architectures. Automates processes with PowerShell and Power Automate, administers identity, security, compliance, and governance controls, and supports collaboration platform migrations. The role also documents solutions, responds to incidents, mentors colleagues, maintains client communications, and delivers projects with high billable utilization.