GCP Gemini Enterprise Platform Architect

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

Job summary

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

You will design the platform's compute, networking, data layers, enable integrations, establish deployment standards, and lead containerized AI workloads with GKE while partnering with security, data, and engineering teams.

Qualifications

• 13–20 years of software engineering experience.
• Proven enterprise-scale GCP architecture expertise.
• Experience with Gemini Enterprise, Vertex AI, and Gemini models.
• Google Cloud certifications preferred (e.g., Professional Cloud Architect).

Responsibilities

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

Skills

GCP Architecture

Gemini Enterprise

Vertex AI

GKE/Kubernetes

Terraform

CI/CD

MLOps

LLMOps

Security & IAM

Observability

Tools

Terraform

CI/CD Tools

Kubernetes

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