GCP Gemini Enterprise Platform Architect
Posted:
9 September 2026 (3 hours ago)
Application Deadline:
7 December 2026
Vacancies:
1 Vacancy
Job Summary
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
Required Experience:
Manager