Define enterprise AI architecture with Vertex AI, MLOps, and cloud infrastructure for Insight Global’s global fashion retail client. Shape secure platforms at scale.
This Principal Platform Engineer role provides strategic leadership across AI platform architecture, governance, scalability, and developer enablement. You will establish technical foundations for developing, deploying, and managing AI solutions. The work connects cloud architecture, platform engineering, AI innovation, and enterprise transformation.
Key Responsibilities: Define enterprise AI platform vision, principles, standards, and roadmap
Architect secure AI platforms, developer environments, tooling, and automation
Establish governance, monitoring, compliance, and observability controls
Evaluate AI technologies, vendors, partners, and practical use cases




Provide technical leadership across engineering, security, data, and product teams
Requirements: 10+ years in platform engineering, cloud infrastructure, software engineering, or architecture
Deep expertise in Vertex AI, MLOps, training pipelines, and model serving
Generative AI experience spanning RAG, guardrails, agents, and MCP integration
Terraform, infrastructure-as-code, policy-as-code, CI/CD, and platform templates
Advanced Python skills and ownership of critical architecture decisions
Lead secure, scalable AI platform engineering through Vertex AI, MLOps, automation, governance, and advanced Python expertise.

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📌 Principal AI Platform Engineer (British Columbia)
🏢 Insight Global
📍 British Columbia