Google Cloud Platform Gemini Enterprise Cloud Architect
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Job description
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., 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
Requirements
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
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