EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 Skilled 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

We offer

- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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