AI Platform Engineer

Role Overview

As an AI Platform Engineer, you will architect, provision, and maintain the cloud foundations required for enterprise AI agents using Vertex AI Agent Builder. You will be responsible for maintaining a strict Infrastructure as Code (IaC) philosophy and automating deployment processes through robust CI/CD pipelines.

Responsibilities

• Architect AI Agent Infrastructure using Vertex AI Agent Builder.
• Maintain 100% Infrastructure as Code (IaC) via Terraform.
• Build and optimize GitLab CI/CD pipelines for automated testing and deployment.
• Configure and optimize data ingestion pipelines for agent grounding.
• Own complex IAM structures, Service Accounts, and cryptographic identities.
• Implement observability, monitoring, and cost optimization for token spend and runtime.

Requirements

• Hands-on experience with GCP AI Ecosystem (Vertex AI Agent Builder, Agent Studio, ADK).
• Deep knowledge of modular Terraform.
• Proven track record with GitLab CI/CD pipelines.
• Solid understanding of GCP infrastructure including GKE, Cloud Run, and VPC networking.
• Strong programming skills in Python or Go.

Skills

• Terraform
• Python
• GCP
• GitLab CI/CD
• Vertex AI

Nice to Have

• Experience with LangChain, LlamaIndex, or Google's native Agent SDK.
• Familiarity with vector databases like Vertex AI Vector Search, Pinecone, or pgvector.
• GCP Professional Cloud Architect or DevOps/MLOps certifications.