Principal Platform Engineer at Insight Global — NeverHard

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 Strong 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. #J-18808-Ljbffr