Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.

This is a senior individual contributor role with no direct reports, though this person will provide technical leadership and mentorship to engineering teams. The ideal candidate has personally built and operated enterprise AI/ML platforms in production, specifically within GCP and Vertex AI, and can own critical platform architecture decisions.

Responsibilities

Own and evolve the enterprise AI platform architecture within GCP

Build and scale Vertex AI MLOps capabilities, including training pipelines, Model Registry, evaluation/approval workflows, and model serving

Establish MLOps/LLMOps standards across development, deployment, monitoring, and lifecycle management

Build GenAI platform capabilities including RAG, grounding, prompt management, guardrails, evaluations, agents, and MCP integration

Develop reusable Terraform modules, Infrastructure-as-Code, policy-as-code, and CI/CD pipelines

Create self-service “golden path” templates for engineering teams

Implement AI/ML observability and FinOps practices, including tracing, drift detection, latency, token usage, and cost monitoring

Establish platform standards around security, governance, scalability, and responsible AI





Remain hands-on with Python while owning key architecture decisions

Provide technical leadership and mentorship across engineering, data, architecture, security, and product teams

Required Skills & Experience

10+ years of experience across platform engineering, cloud infrastructure, software engineering, or enterprise architecture

Proven experience building and operating enterprise AI/ML platforms in production

Deep hands-on expertise with GCP and Vertex AI

Strong experience with MLOps and LLMOps architecture

Vertex AI experience across training pipelines, Model Registry, evaluation/approval, and model serving

GenAI experience with RAG, grounding, guardrails, evaluations, agents, and/or MCP

Solid Terraform, Infrastructure-as-Code, policy-as-code, and CI/CD experience

Experience building reusable/self-service platform capabilities for other engineering teams

Experience with AI/ML observability and FinOps

Advanced Python software engineering skills

Ability to independently own major platform architecture decisions

Pay Transparency

Expected salary starting at $200,000

Vacancy Disclosure

This role is for a new vacant opening within a growth project.

Please note, artificial intelligence tools are used to assist in screening and assessing applicants for this position.

📌 Principal Platform Engineer (Winnipeg)
🏢 Insight Global
📍 Winnipeg