We are seeking an experienced GCP Gemini Enterprise Platform Architect to define, build, and support an enterprise-scale agentic AI platform on Google Cloud Platform, driving architecture decisions across infrastructure, security, and AI services while enabling business-critical use cases.

Responsibilities

Define the architecture and technical roadmap for an enterprise agentic AI platform on GCP
Set up and configure Gemini Enterprise, the Gemini Enterprise Agent Platform, and supporting GCP AI services
Design and configure the infrastructure, compute, networking, security, and data layers required for the platform
Enable enterprise connectors, integrations, data access, and onboarding of applications and AI agents
Establish standards for agent deployment, lifecycle management, monitoring, governance, and access control
Architect and support containerized AI workloads using GKE and the associated compute stack
Provide technical guidance, proactive service support, and first-level assistance for critical platform incidents
Collaborate with business, security, data,



and engineering teams to deliver lead qualification and customs and clearance agentic AI use cases

Requirements

13-20 years of experience in software engineering
Expertise in architecting enterprise-scale solutions on Google Cloud Platform
Proficiency in Gemini Enterprise, Gemini models, Vertex AI, or the broader GCP Generative AI ecosystem
Strong knowledge of GCP infrastructure, IAM, networking, security, governance, and observability
Experience designing or implementing agentic AI platforms and managing AI agents at scale
Robust expertise in GKE, Kubernetes, containers, and cloud-native compute platforms
Experience configuring AI platform infrastructure, data layers, connectors, APIs, and enterprise integrations
Knowledge of Terraform, CI/CD, MLOps, or LLMOps practices within GCP environments
Google Cloud certification such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Profes

📌 GCP Gemini Enterprise Platform Architect (Pune)
🏢 EPAM Systems
📍 Pune