GCP Gemini Enterprise Platform Architect

EPAM Systems; India; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

EPAM Systems in India seeks an experienced GCP Gemini Enterprise Platform Architect to define, build, and support an enterprise-scale agentic AI platform on Google Cloud, guiding decisions across infrastructure, security, and AI services.

You will design the compute, networking, data layers, steer Gemini integrations, and lead governance, deployment standards, and incident support while partnering with security, data, and engineering teams to deliver scalable AI use cases.

Qualifications

• Experience building enterprise-scale platforms on Google Cloud Platform.
• Deep knowledge of Gemini Enterprise, Gemini models, Vertex AI or broader GCP Generative AI.
• Strong skills in GCP infrastructure, IAM, networking, security, governance and observability.
• Experience designing agentic AI platforms and managing AI agents at scale.
• Expertise with GKE, Kubernetes, containers and cloud-native compute platforms.

Responsibilities

• Define architecture and roadmap for an enterprise agentic AI platform on GCP.
• Set up Gemini Enterprise, Gemini Enterprise Agent Platform, and supporting GCP AI services.
• Design infrastructures: compute, networking, security, data layers for the platform.
• Enable enterprise connectors, integrations, data access, and onboarding of applications and AI agents.
• Establish deployment standards, lifecycle management, monitoring, governance, and access control.
• Architect and support containerized AI workloads using GKE and compute stack.
• Provide technical guidance and first-level support for critical platform incidents.
• Collaborate with business, security, data, and engineering teams on AI use cases.

Skills

Enterprise-scale architecture

GCP Generative AI

Gemini Enterprise

GKE/Kubernetes

AI platform engineering

CI/CD / MLOps

Security & IAM

Observability

Data & API integrations

Tools

Gemini Enterprise connectors

Terraform

CI/CD pipelines

Vertex AI

Job description

Job Overview

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, 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