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

- Solid knowledge of GCP infrastructure, IAM, networking, security, governance, and observability

- Experience designing or implementing agentic AI platforms and managing AI agents at scale

- Strong 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 Professional Machine Learning Engineer

Nice to have

- Prior experience with Gemini Enterprise connectors and integrations

- Background in production support for enterprise AI platforms

- Familiarity with agentic AI use cases such as lead qualification or customs and clearance

Location - Hyderabad, Pune, Bangalore, Gurgaon, Chennai, Coimbatore

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