Engineering Director, Agentic Platform

IFS•Vancouver, BC

3d•CA$160,000 - CA$220,000•Hybrid

About The Position

The Agentic Platform is the foundation layer of Copperleaf R&D. Everything the other two pillars ship, core product capability and AI-powered applications, runs on infrastructure, data, and services this team owns. As Director you will lead the pillar: five cells spanning cloud infrastructure, data platform, AI platform, extensions and integrations, and shared services. This is one of the most strategic technical leadership positions in the company. The platform carries our Azure transition, our next-generation AI infrastructure, and the modernization of a product surface trusted by critical-infrastructure customers worldwide. You will report directly to the VP of R&D, and your decisions will set the ceiling on how fast the entire R&D organization can move.

Requirements

12+ years building and operating production software, with 5+ years leading platform, infrastructure, or cloud engineering organizations.
You have run Azure and/or AWS platforms carrying enterprise SLAs, and you have owned the operational readiness story, not just the build.
Fluent in modern data platforms (Fabric, lakehouse architectures, embedded BI) and in running LLM-based systems in production: pipelines, evaluation, cost, and compliance.
A track record of shipping committed scope on real dates across multiple teams, and of saying clearly what will not make the date.
Senior engineers choose to work for you, and leaders grow under you. You build teams that survive your own departure.
You are equally credible walking an executive through a risk position and walking an engineer through a design review.

Nice To Haves

Enterprise software serving critical infrastructure, utilities, or similarly regulated customers.
You have moved an installed enterprise product to cloud-native without breaking the customers running on it.
You have run an internal platform with real adoption metrics, and you know the difference between mandated use and earned use.

Responsibilities

Lead the Engineering pillar. Own delivery, quality, and operations across the five cells. Hire, grow, and retain the managers and senior engineers who run them, and build the succession depth so no part of the platform depends on one person.
Own the platform layers of the future architecture. In the target-state architecture the pillar owns the Platform Control Plane, the Platform Service Layer, and Deployment and Tenancy Options: shared capabilities certified once and consumed by every product, domain service, and agent, with tenancy models spanning dedicated and regulated, shared multi-tenant, and sovereign cloud.
Finish the cloud transition. Complete the move to Azure, including the analytics platform on Microsoft Fabric, and retire legacy Windows-era infrastructure on a committed timeline.
Industrialize our AI infrastructure. Take our new AI Agentic Platform from early adopter to production grade: multi-tenancy, compliance-ready pipelines, and the cloud-native foundation for the next generation of AI applications built across R&D.
Automate the operation. Eliminate R&D-owned manual bottlenecks in provisioning, upgrades, and environment management. Get production support to a state where SLAs are met by design, and Tier 1 ownership can hand off cleanly to Unified Support.
Scale extension migration. Drive the AI-powered migration of hundreds of customer extensions onto the modern platform, expanding the automated pipeline and closing the gaps it cannot yet handle.
Run the platform as a product. Your customers are engineers, partners, and Tech Sales. Self-serve environments, a partner-facing API layer, and an emerging MCP surface are the roadmap. Treat internal adoption as the metric that matters.
Shape the technical roadmap. Partner with the VP of R&D and our Senior Principal Architect on the 2027-2029 technology roadmap, and turn it into a sequenced plan the pillar delivers.