GCP Gemini Enterprise Platform Architect (Pune)

GCP Gemini Enterprise Platform Architect (Pune)

10 Aug
|
EPAM Systems
|
Pune

10 Aug

EPAM Systems

Pune

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

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, Qualified 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

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

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