GCP Gemini Enterprise Platform Architect

Job description

*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 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 **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.)