Please click on the Apply to verify the status of jobs posted more than 15 days ago, as they may have expired. Similar Jobs
Job Description
- 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 platforms 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).
- Advanced Terraform: Deep knowledge of writing reusable, modular Terraform code to manage complex cloud environments, IAM policies, and managed services.
- CI/CD Expertise: Proven track record of configuring complex GitLab pipelines, utilizing runners, environment staging, caching, and automated testing blocks.
- Core GCP Architecture: Solid understanding of baseline GCP infrastructure, including GKE, Cloud Run, VPC/Shared VPC networking, Identity-Aware Proxy (IAP), and Cloud Storage.
- Scripting & Orchestration: Strong programming skills in Python (preferred for Agent ADK work) or Go.
Looking to get Placed? Try our Placement Guarantee Plan
- Experience with LLM frameworks like LangChain, LlamaIndex, or Googles native Agent SDK.
- Familiarity with vector databases (Vertex AI Vector Search, Pinecone, or pgvector).
- GCP Professional Cloud Architect or Professional DevOps/MLOps Engineer certifications
Skills
PythonAiLlmLangchainLlamaindexAi AgentAi AgentsVector SearchPineconeMlopsVertex AiIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Important dates & deadlines?
Application Deadline
16 Nov 26, 03:01 PM IST
Similar Jobs
View AllDon't Miss out any Updates
Subscribe now for the latest job alerts
and never miss an update

