Principal AI Platform Engineer
Principal-level role at Insight Global defining enterprise AI platform architecture (Vertex AI, MLOps, cloud infrastructure) for a global fashion retail client. Day to day: set platform vision, standards, and governance, and provide technical leadership across engineering, security, data, and product teams.
- Compensation
- Not disclosed
- Location
- Vancouver, Canada
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- 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
Full description
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.