Top Tech Jobs & Startup Jobs in Montreal

Lead firmwide indirect sourcing for HR benefits, travel, professional services and marketing. Develop category strategies, run complex RFPs, negotiate contracts, collaborate with Finance/Legal/Compliance, manage supplier engagements, and execute Source-to-Pay processes to drive value and mitigate risk.

Delivers procurement and supplier analytics using sourcing and third-party data. Builds dashboards, KPI scorecards, and executive insights with Snowflake and Power BI; supports data transformation, AI enablement, legacy-report migration, UAT, taxonomy maintenance, dataset onboarding, and stakeholder requests. The role requires collaboration across technical and business teams, governed metric-layer experience, complex data analysis, and fluency in French and English.

Lead design, build, and modernization of scalable commodities trading platforms. Own architecture, mentor engineers, drive DevOps/CI/CD, collaborate with stakeholders, and maintain production reliability across trading lifecycle, risk, market data, and settlements.

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.

Partner with product owners, engineers, designers and stakeholders to write user stories, analyze workflows, manage backlog, lead in-sprint UAT, support releases and provide post-production monitoring and support to improve employee CRM experiences.

Lead design, development, and maintenance of Java/Python services for Securities Reference Data (Indexes/ETFs). Drive ingestion, mastering, distribution, data quality, and governance. Build microservices, event-driven flows (Kafka), and databases; troubleshoot production incidents; partner with stakeholders and global teams to deliver resilient, observable systems.

Partner with business stakeholders to design, build, and deploy production-grade agentic AI systems using Claude Agent SDK and MCP. Develop orchestration, context/state management, tool integrations, and evaluation frameworks. Embed governance, auditability, and human approvals. Support production through monitoring, observability, scalability planning, and release readiness. Produce reusable frameworks, documentation, and best practices to accelerate firm-wide AI adoption.

Lead design, governance, and lifecycle management of enterprise taxonomies and semantic assets for Non-Financial Risk. Drive taxonomy implementation, partner with technology and data teams to operationalize semantic capabilities, enforce change control and quality, represent taxonomy in firmwide groups, and mentor junior staff to enable semantic search, knowledge graphs, and AI-driven analytics.

Lead security assessments and threat modeling across enterprise technology. Conduct security design reviews, identify technical control gaps, provide remediation guidance, and advise stakeholders on risks and secure architecture for infrastructure, endpoints, applications, and cloud environments.

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.