Top Tech Jobs & Startup Jobs in Montreal

Acts as the functional expert for Microsoft Dynamics 365 Finance & Operations financial modules, including general ledger, accounts receivable, accounts payable, treasury, fixed assets, taxes, and intercompany processes. Responsibilities include ERP configuration and optimization, functional analysis and documentation, impact assessment, release update reviews, test scenario development, QA and UAT coordination, governance, and continuous improvement. Advises business teams on ERP best practices and supports cross-functional process consistency across systems and legal entities.

Administer and optimize CIMA+ enterprise AI platforms, including user access, roles, licenses, permissions, configurations, usage, costs, and governance. Monitor adoption and platform trends, evaluate new features, maintain documentation, troubleshoot issues, coordinate vendor escalations, and collaborate with infrastructure, cybersecurity, leadership, and AI enablement teams. Support identity integrations such as SSO, SCIM, and Microsoft Entra ID while promoting secure, cost-effective adoption.

Administer and optimize enterprise AI platforms, managing users, licenses, permissions, configurations, usage, costs, governance, and security controls. Monitor platform adoption and trends, assess new features, troubleshoot issues, coordinate vendor escalations, maintain documentation, and collaborate with infrastructure, cybersecurity, and enablement teams. Support identity integrations such as SSO, SCIM, and Microsoft Entra ID while helping users adopt approved AI solutions.

Supports organization-wide AI adoption by identifying business use cases, translating needs into practical solutions, creating guides and training resources, facilitating workshops, gathering employee feedback, supporting AI champion networks, measuring adoption, and promoting responsible and secure use of approved AI tools. The role collaborates closely with AI development, business, talent, culture, communications, learning, and change-management teams.

Drive enterprise AI adoption by identifying business use cases, translating needs into practical AI solutions, developing guidance and demonstrations, facilitating workshops and training, supporting AI champions and communities of practice, gathering feedback, measuring adoption and impact, and promoting secure and responsible use of approved AI tools. Collaborate with AI Development, Talent & Culture, and business teams on change management, communications, and capability development.

Maintains and supports enterprise server systems, operating systems, network services, and virtualization platforms. Provides advanced technical troubleshooting, leads complex IT infrastructure projects, optimizes system performance, develops security policies and procedures, and automates recurring administration tasks using scripting. The role also monitors technology trends and recommends innovative infrastructure improvements while collaborating across multidisciplinary teams.

Concevoir et analyser des plans de feux de circulation et d''''eclairage routier; rdiger des rapports et devis en electrotechnique; realiser des etudes photomtriques avec AGI32; programmer et simuler des feux; estimer quantites et couts; coordonner projets et superviser entrepreneurs.

Design and analyze traffic signal and roadway lighting projects; perform photometric studies (AGI32); simulate and program traffic signals; prepare technical reports, specifications, cost estimates; coordinate with clients and teams; supervise contractor work.

Design, build, deploy, and support production-grade agentic and generative AI solutions. Architect scalable systems using RAG, multi-agent workflows, vector databases and enterprise integrations. Integrate AI with enterprise APIs, databases, and Azure cloud services; implement CI/CD, observability and performance optimizations; mentor junior engineers and define reusable AI standards and best practices.

Concevoir, développer, déployer et maintenir des solutions d'IA agentique et générative en production. Architecturer des systèmes évolutifs (RAG, multi-agents, mémoire, intégrations d'entreprise), intégrer APIs et bases de données, appliquer bonnes pratiques (tests, CI/CD, observabilité), encadrer des ingénieurs juniors et contribuer aux standards et composants réutilisables de la plateforme IA.