Google Cloud Platform Gemini Enterprise Architect

Remote • Posted 7 hours ago • Updated 4 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Cloud Architecture
  • Cloud Computing
  • Computer Networking
  • Continuous Delivery
  • Continuous Integration
  • Enterprise Architecture
  • Generative Artificial Intelligence (AI)
  • GitHub
  • Good Clinical Practice
  • Enterprise Networks
  • Google Cloud
  • Google Cloud Platform
  • Kubernetes
  • Management
  • Jenkins
  • Data Flow
  • Virtual Private Network
  • Microsoft

Summary


Google Cloud Platform Gemini Enterprise Cloud Architect
Location: Dallas, TX United States

Role Summary

This role architects and delivers enterprise-grade Google Cloud Platform (Google Cloud Platform) solutions centered on Gemini Enterprise, Google''s agentic AI platform for building, scaling, and governing enterprise agents. The architect partners with delivery, engineering, and client stakeholders to design secure, scalable cloud and agent architectures, working onsite in Dallas, TX. In the first 90 days, success looks like completing a current-state assessment of client cloud environments, standing up an initial Gemini Enterprise pilot or proof-of-concept agent, and establishing governance and security guardrails for agent deployment.

Key Responsibilities
Design and architect end-to-end Google Cloud Platform solutions that integrate the Gemini Enterprise Agent Platform for enterprise clients
Lead technology adoption of agentic AI capabilities, translating business requirements into scalable cloud and agent architectures
Build and maintain Infrastructure as Code (Terraform) for repeatable, auditable environment provisioning
Guide client stakeholders through migration and modernization strategies, evaluating design tradeoffs and rollout roadmaps
Collaborate with cross-functional engineering, data, and delivery teams to implement and scale enterprise-grade AI agents

Required Qualifications
8+ years of experience in cloud architecture or solutions engineering, with substantial hands-on Google Cloud Platform experience
Demonstrated experience designing and deploying enterprise AI/agentic platforms (Gemini Enterprise, Vertex AI, or equivalent)
Proficiency with Infrastructure as Code (Terraform) and scripting (Python, Bash)
Solid understanding of cloud security, IAM, data governance, and responsible AI practices

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91122985
  • Position Id: 9034493
  • Posted 7 hours ago
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Abdul Rahim

Abdul Rahim

Recruiter @ Fusion Global Solutions
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