GCP Gemini Enterprise Platform Architect

EPAM Systems; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems in Gurugram invites an experienced GCP Gemini Enterprise Platform Architect to define, build, and support an enterprise-scale agentic AI platform on Google Cloud Platform. You will drive architecture decisions across infrastructure, security, and AI services for business-critical use cases.

The role requires deep expertise in Gemini Enterprise, Vertex AI, and GKE, with strong knowledge of Terraform, IAM, networking, and observability.

Qualifications

• 13-20 years of software engineering experience.
• 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.

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.

Skills

GCP expertise

Kubernetes

CI/CD

MLOps

Security governance

AI platform design

Tools

GKE

Terraform

Vertex AI

Gemini Enterprise

IAM

Job description

Job Description: 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