Why This Role Stands Out
As a Google Gemini Enterprise Architect, you'll be at the forefront of AI integration, shaping innovative solutions for a reputable company with significant growth potential. This role is ideal for a hands-on technologist with deep cloud infrastructure knowledge and a passion for building impactful AI use cases, offering a hybrid work model for excellent flexibility after an initial onboarding period. You'll gain invaluable experience by driving strategic initiatives and integrating cutting-edge technology, so we encourage you to apply and contribute to this exciting project.
Quick Overview
Job Description
Job: Google Gemini Enterprise Architect
Onsite Location: Trenton, NJ; Candidates must be based within a 1-hour commute with traffic First 120 days are onsite; then hybrid 3-days onsite, 2 days remote
ONSITE INTERVIEW IS REQUIRED - NO EXCEPTIONS Indicate the candidate's current location (city, state) on all resumes
Duration: 1 year engagement
Must be able to get hands dirty; Gemini SME; this person must have understand the cloud infrastructure; early stage project will be soft work building use cases in how the agencies can use Gemini, assisting with use case. How will it be integrated into the agency.
Implementation/integration how do you tie to O365, SharePoint, etc.
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 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
Similar jobs
- IG
Enterprise Architect with Security Clearance
NewInsight Global, Inc.
San Antonio, TX🇺🇸Hybrid23 hours agoAWSAgileAzureTechnology - PE
MDM Architect
NewPeopleNTech
Dallas, TX🇺🇸On-site23 hours agoSnowflakeOnboardingReconciliation - QW
Adobe Architect
NewQuantum World Technologies Inc.
New York, NY🇺🇸Hybrid23 hours agoReact - SS
ServiceNow GRC Architect
NewSpear Staffing
United States🇺🇸Remote23 hours agoComplianceServiceNowTechnology - AT
PLM Teamcenter Architect
NewApar Technologies
Phoenix, AZ🇺🇸Remote23 hours agoPHPAgileSAP - P2
AUTOMATION ARCHITECT
NewP2PSoftTek Inc
Pleasanton, CA🇺🇸Hybrid23 hours agoAzureGitGitHub Actions+5 - LT
Lead, Systems Engineer
NewL3Harris Technologies
Palm Bay, FL🇺🇸Hybrid23 hours agoAgileTechnology - AN
Enterprise Architect
NewAnblicks
Richardson, TX🇺🇸Hybrid23 hours agoAWSETLSnowflake+3Technology - SE
Senior Application Architect (Onsite)
NewSerigor
Pikesville, MD🇺🇸On-site23 hours agoSQLComplianceTechnology - BO
Vehicle Management Systems Architect (Lead or Principal)
NewBoeing
Berkeley, MO🇺🇸$164.9k - $223.1k/yrOn-site23 hours agoAutomotive - BO
Flight Simulation Software Engineers (Associate, Experienced, and Senior)
NewBoeing
Berkeley, MO🇺🇸$94.5k - $134.6k/yrHybrid23 hours agoAgileC#C+++3Technology - AP
Google Gemini Enterprise Architect
NewApton Inc
Trenton, NJ🇺🇸On-site23 hours agoAWSAzureGenerative AI+3Technology