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
