8 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Engineering Director, Agentic Platform (AI)
160Β 000 - 220Β 000CAD
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Engineering Director, Agentic Platform (AI): Leading five engineering cells responsible for cloud infrastructure, data, AI infrastructure, extensions and integrations, and shared services with an accent on Azure modernization, enterprise-grade platform operations, and production AI systems. Focus on completing the Azure and Microsoft Fabric transition, industrializing multi-tenant LLM infrastructure, automating operations, and scaling customer extension migration.
Location: Vancouver, British Columbia, Canada
Salary: $160,000β$220,000 CAD annually plus variable bonus
Company
develops AI-driven enterprise software solutions for customers worldwide, with more than 7,000 employees across all continents.
What you will do
- Lead delivery, quality, and operations across five engineering cells covering cloud infrastructure, data, AI infrastructure, extensions and integrations, and shared services.
- Own the Platform Control Plane, Platform Service Layer, and deployment and tenancy options across dedicated, regulated, shared multi-tenant, and sovereign cloud environments.
- Complete the transition to Azure, including the analytics platform on Microsoft Fabric, and retire legacy Windows-era infrastructure.
- Bring the AI Agentic Platform to production grade with multi-tenancy, compliant pipelines, and a cloud-native foundation for AI applications.
- Automate provisioning, upgrades, environment management, and production support while improving SLA reliability and Tier 1 handoffs.
- Scale AI-powered migration of customer extensions, build self-service environments and partner APIs, and shape the 2027β2029 technology roadmap.
Requirements
- 12+ years of experience building and operating production software, including 5+ years leading platform, infrastructure, or cloud engineering organizations.
- Experience running Azure and/or AWS platforms with enterprise SLAs and owning operational readiness.
- Fluency in modern data platforms, including Fabric, lakehouse architectures, and embedded BI.
- Experience running LLM-based systems in production, including pipelines, evaluation, cost management, and compliance.
- Track record of delivering committed scope across multiple teams and building strong engineering leadership succession.
- Ability to communicate effectively with executives and engineers, from risk discussions to design reviews.
Nice to have
- Experience with critical infrastructure, utilities, or other regulated industries.
- Experience migrating installed enterprise products from legacy systems to cloud-native platforms.
- Experience running an internal platform as a product with adoption metrics.
Culture & Benefits
- Flexible paid time off, including sick and holiday leave.
- Medical, dental, and vision insurance.
- RRSP matching, life insurance, and disability benefits.
- Tuition assistance and community volunteering opportunities.
- Flexible and hybrid work opportunities, with an AI-native operating model.
Hiring process
- Applications may be screened and assessed with automated tools, including artificial intelligence.
- Hiring decisions are reviewed and made by members of the hiring team.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β