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GCP Gemini Enterprise Platform Architect

EPAM Systems


Job Location:

Gurgaon - India

Monthly Salary: Not provided by the employer
Posted: 9 September 2026 (3 hours ago)
Application Deadline: 7 December 2026
Vacancies: 1 Vacancy

Job Summary

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

Required Experience:

Manager