We are looking for an experienced AI Platform Engineer to bridge the gap between cutting-edge generative AI application design and production-grade cloud infrastructure. In this role, you won't just be "vibe coding" prompts—you will be architecting, securing, and scaling our enterprise AI agent infrastructure. The ideal candidate lives at the intersection of MLOps, DevOps, and Platform Engineering, with deep technical expertise in Google Cloud Platform (GCP), Terraform, Jenkins, GitLab CI/CD. You will own the infrastructure that powers our multi-agent orchestration systems, ensuring they are robust, reproducible, and seamlessly integrated into our deployment pipelines.

Key Responsibilities:
● Architect AI Agent Infrastructure: Design, provision, and maintain the cloud foundations required for enterprise AI agents using Vertex AI Agent Builder (Gemini Enterprise Agent Platform).
● Infrastructure as Code (IaC): Maintain a strict IaC philosophy,



ensuring 100% of the platform’s infrastructure—from Agent Engine runtimes to VPCs and Cloud Storage Data Stores—is declared and managed via Terraform.
● Automate Everything: Build, optimize, and maintain robust, secure GitLab CI/CD pipelines for automated agent testing, deployment, and configuration pinning.
● Data & Grounding Management: Configure and optimize data ingestion pipelines (Vertex AI Search, Data Stores) to ground agents effectively on enterprise data.
● Security & IAM Governance: Own the complex IAM structures, Service Accounts, and cryptographic Agent Identities required to secure agent tool-calling and enterprise data access.
● Observability & Cost Optimization: Implement logging, monitoring, and tracing loops for agent reasoning, while keeping a sharp eye on token spend and runtime costs. Core Technical Requirements Must-Haves
● GCP AI Ecosystem: Hands-on experience with Vertex AI Agent Builder (or Gemini Enterprise Agent Platform components like Agent Studio, Agent Development Kit (ADK), and Agent Engine).
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📌 AI Platform Engineer (Pune)
🏢 TVH
📍 Pune