Google Gemini Enterprise Architect

Amtex Enterprises Inc

Trenton (NJ)

Hybrid

USD 130,872 - 162,556

Full time

14 days+

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Job summary

Amtex Enterprises Inc is seeking a Google Gemini Enterprise Architect for a 1–1.5 year contract in Trenton, NJ. Initial 120 days onsite, followed by hybrid work 3 days onsite and 2 days remote.

Strong experience with Gemini Enterprise and enterprise AI integrations is required to guide and implement AI-driven solutions across business workflows. The role demands SME-level expertise, strategic consulting, and hands-on design of integration architectures with robust security and compliance

Qualifications

  • 3+ years hands-on with Google Gemini Enterprise.
  • Experience integrating enterprise AI platforms with workflows and systems.
  • SME or technical consultant in an enterprise environment.
  • Track record of AI solutions delivering measurable value.
  • Knowledge of Gemini Enterprise architecture, APIs, and integration.
  • Cloud platforms: Google Cloud, Azure, AWS.
  • Microsoft 365 including SharePoint/Outlook/Office 365.
  • Excellent communication; strong analytical and organizational skills.
  • Ability to collaborate across multiple teams.

Responsibilities

  • Serve as SME for Google Gemini Enterprise across internal agencies.
  • Provide strategic consultation on AI-driven business solutions.
  • Assess opportunities for Gemini Enterprise integration.
  • Lead and support integration with enterprise workflows and systems.
  • Design and implement integration architectures with security/compliance.
  • Troubleshoot issues and develop integration solutions.
  • Create technical docs, workflows, and specs.
  • Develop playbooks and use case libraries.
  • Mentor team members on Gemini capabilities.
  • Stay current on Gemini enhancements and industry best practices.
  • Identify innovative AI applications to solve business challenges.
  • Evaluate and optimize existing implementations.
  • Collaborate with stakeholders for feedback and improvements.

Skills

Google Gemini Enterprise
Enterprise integration
Subject matter expert
AI-driven solutions
APIs and integration
Cloud platforms
Microsoft 365
Communication skills
Analytical skills
Project management

Tools

Python
PowerShell

Job description

Job Title : Google Gemini Enterprise Architect
Location: Trenton, NJ; Candidates must be based within a 1-hour commute with traffic
Duration: 1 – 1 ½ year engagement
Rate: $95-100/hr on W2 or $110-118/hr on 1099 or C2C

First 120 days are onsite; then hybrid 3-days onsite, 2 days remote

Interviews: automated screening questionnaire, CAI recruiter (30 minutes), Account Manager (15 minutes), Client video, Client Onsite

ONSITE INTERVIEW IS REQUIRED – NO EXCEPTIONS

Resumes should not exceed 4-pages

Job Description

We are looking for a Google Gemini Enterprise Architect to provide strategic guidance, technical expertise, and hands-on support for integrating Google Gemini Enterprise with business workflows, Microsoft 365 ecosystem products, and enterprise systems. This position will be full-time contract and hybrid. Please note: the first 120 days will be 100% onsite. After that, it will be hybrid with 3-days onsite in Trenton and 2-days remote. Candidates must currently reside a reasonable, commutable distance to Trenton.

What You’ll Do
  • Serve as the primary subject matter expert for Google Gemini Enterprise across internal agencies
  • Provide strategic consultation on AI-driven business solutions and implementation best practices
  • Conduct assessments to identify opportunities for Gemini Enterprise integration across business processes
  • Lead and support integration efforts between Google Gemini Enterprise and enterprise workflows and systems
  • Design and implement integration architectures that align with organizational security and compliance requirements
  • Troubleshoot complex technical issues and develop effective integration solutions
  • Create and maintain technical documentation, workflows, and integration specifications
  • Develop implementation playbooks and use case libraries for common business scenarios
  • Mentor team members on Gemini Enterprise capabilities and integration techniques
  • Stay current on Gemini Enterprise enhancements, emerging technologies, and industry best practices
  • Identify innovative applications of AI technology to solve business challenges
  • Evaluate and optimize existing implementations to improve performance and efficiency
  • Collaborate with stakeholders to gather feedback and continuously enhance solutions
  • Monitor industry trends and recommend strategic improvements to enterprise AI capabilities
What You’ll Need

Required:

  • 3+ years of hands-on experience with Google Gemini Enterprise
  • Experience integrating enterprise AI platforms with business workflows and systems
  • Experience serving as a subject matter expert or technical consultant in an enterprise environment
  • Demonstrated success implementing AI solutions that deliver measurable business value
  • Deep understanding of Google Gemini Enterprise architecture, APIs, and integration capabilities
  • Knowledge of cloud platforms including Google Cloud Platform, Microsoft Azure, and AWS
  • Strong knowledge of Microsoft 365 applications including SharePoint, Outlook, and Office 365
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
  • Strong analytical, problem-solving, and organizational skills
  • Ability to work collaboratively across multiple teams and stakeholders
  • Self-motivated with strong project management capabilities
Preferred
  • Google Cloud Platform certifications
  • Experience with API integration, authentication protocols, and data security practices
  • Experience with programming or scripting languages such as Python, JavaScript, or PowerShell
  • Knowledge of AI governance, ethics, and responsible AI practices
  • Experience supporting organizational change management and user adoption initiatives
  • Familiarity with Agile methodologies and DevOps practices
  • Experience in a consulting or advisory capacity
  • Passion for AI technology and practical business applications
  • Creative approach to identifying innovative solutions and use cases
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