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
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Define the architecture and technical roadmap for an enterprise agentic AI platform on GCP
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Set up and configure Gemini Enterprise, the Gemini Enterprise Agent Platform, and supporting GCP AI services
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Design and configure the infrastructure, compute, networking, security, and data layers required for the platform
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Enable enterprise connectors, integrations, data access, and onboarding of applications and AI agents
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Establish standards for agent deployment, lifecycle management, monitoring, governance, and access control
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Architect and support containerized AI workloads using GKE and the associated compute stack
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Provide technical guidance, proactive service support, and first-level assistance for critical platform incidents
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Collaborate with business, security, data, and engineering teams to deliver lead qualification and customs and clearance agentic AI use cases
Requirements
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13-20 years of experience in software engineering
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Expertise in architecting enterprise-scale solutions on Google Cloud Platform
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Proficiency in Gemini Enterprise, Gemini models, Vertex AI, or the broader GCP Generative AI ecosystem
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Strong knowledge of GCP infrastructure, IAM, networking, security, governance, and observability
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Experience designing or implementing agentic AI platforms and managing AI agents at scale
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Strong expertise in GKE, Kubernetes, containers, and cloud-native compute platforms
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Experience configuring AI platform infrastructure, data layers, connectors, APIs, and enterprise integrations
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Knowledge of Terraform, CI/CD, MLOps, or LLMOps practices within GCP environments
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Google Cloud certification such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer
Nice to have
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Prior experience with Gemini Enterprise connectors and integrations
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Background in production support for enterprise AI platforms
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Familiarity with agentic AI use cases such as lead qualification or customs and clearance
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
