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Google Gemini Enterprise Architect In Trenton, NJ - Hybrid - Locals Only

Amtex EnterprisesTrenton, NJ🇺🇸United StatesPosted 3 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role : Google Gemini Enterprise Architect
Location: Trenton, NJ (Hybrid – First 120 days onsite, then 3 days onsite / 2 days remote)
Duration: 12–18 Months Contract
 
Local candidates only. Must reside within approximately one hour of Trenton, NJ. Onsite interview required.

Job Summary

We are seeking a Google Gemini Enterprise Architect with deep hands-on experience implementing and integrating Google Gemini Enterprise across enterprise environments. This role requires a technical SME who can architect AI solutions, build enterprise use cases, integrate Gemini with Microsoft 365 and other business platforms, and provide strategic guidance on AI adoption. The ideal candidate combines strong cloud architecture expertise with hands-on implementation experience and the ability to drive enterprise AI initiatives from concept through deployment.

Required Skills

  • 3+ years of hands-on Google Gemini Enterprise experience
  • Proven experience implementing and integrating enterprise AI solutions
  • Deep expertise with Google Gemini Enterprise architecture, APIs, and integration capabilities
  • Experience integrating Gemini with Microsoft 365 (Office 365, SharePoint, Outlook) and enterprise applications
  • Strong understanding of Google Cloud Platform (Google Cloud Platform), Microsoft Azure, and AWS
  • Experience designing enterprise AI use cases and implementation strategies
  • Strong knowledge of enterprise cloud infrastructure and architecture
  • Experience with API integrations, authentication, and enterprise security
  • Experience serving as an AI Subject Matter Expert (SME) or Enterprise Architect
  • Strong communication and stakeholder management skills
  • Experience creating technical documentation, implementation playbooks, and solution designs
  • Ability to troubleshoot complex integration challenges and optimize enterprise AI solutions

Skills

AWS
Azure
Google Cloud
Stakeholder Management

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