AI Platform Engineer
TVH (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the architecture and operation of secure, scalable GCP infrastructure for enterprise AI agents, including runtimes, networking and data stores.
- Manage platform infrastructure through Terraform and build GitLab CI/CD pipelines for agent testing, deployment and configuration.
- Govern agent access and enterprise data grounding; implement observability and control runtime and token costs.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Hands-on experience with Vertex AI Agent Builder or Gemini Enterprise Agent Platform components such as Agent Studio, ADK or Agent Engine.
- Advanced, modular Terraform skills and proven ability to build complex GitLab CI/CD pipelines, including runners, staging, caching and automated testing.
- Strong GCP architecture knowledge, including GKE, Cloud Run, VPC/Shared VPC, IAP and Cloud Storage; strong Python or Go programming skills.
Ideal Candidate Profile
- Has a platform engineering profile spanning GCP infrastructure, IaC, CI/CD and production operations for AI agents.
- Can manage agent deployment and enterprise data access as well as the underlying security, IAM and operational controls.
- Has experience grounding LLM agents in enterprise data and monitoring agent behavior and infrastructure costs; familiarity with LLM frameworks or vector databases is an advantage.