Contract Location: Trenton, New Jersey
Work Arrangement: Onsite initially, then hybrid Engagement
Duration: Approximately 1–1.5 years (NO BENEFITS)
Worksite Requirement: Candidates must reside within a reasonable commuting distance of Trenton, NJ.
We are seeking a hands-on Google Gemini Enterprise Architect to provide technical consulting, architecture guidance, and implementation support for integrating Google Gemini Enterprise with enterprise applications, business workflows, and cloud platforms.
The ideal candidate will be a subject matter expert in Gemini Enterprise with strong cloud infrastructure knowledge and practical experience integrating AI capabilities with Microsoft 365, SharePoint, and other enterprise systems.
This is a hands-on technical consulting role, not a program or project management position. The successful candidate must be comfortable developing use cases, assessing business requirements, designing integration solutions, troubleshooting technical challenges, and guiding implementation activities.
Serve as a subject matter expert for Google Gemini Enterprise.
Provide technical consultation on enterprise AI capabilities, architecture, and implementation best practices.
Assess business processes and identify opportunities to integrate Gemini Enterprise into agency workflows.
Develop practical AI use cases that address business challenges and improve operational efficiency.
Recommend architecture patterns and implementation approaches aligned with enterprise requirements.
Design and implement integrations between Google Gemini Enterprise and enterprise applications.
Integrate Gemini Enterprise with Microsoft 365 applications, including SharePoint, Outlook, and Office 365.
Evaluate integration requirements across cloud platforms and existing enterprise systems.
Develop integration architectures that address security, compliance, authentication, and data protection.
Troubleshoot complex integration issues and deliver effective technical solutions.
Support implementation, testing, optimization, and deployment activities.
Apply knowledge of Google Cloud Platform (GCP), Microsoft Azure, and AWS to enterprise AI integration.
Assess infrastructure requirements and recommend suitable cloud-based architecture solutions.
Work with APIs, authentication protocols, and enterprise connectivity mechanisms.
Evaluate existing implementations and recommend improvements to performance, reliability, and efficiency.
Develop technical documentation, integration specifications, workflows, and architecture guidelines.
Create reusable implementation playbooks and libraries of common enterprise AI use cases.
Guide and mentor technical team members on Gemini Enterprise capabilities and integration approaches.
Collaborate with stakeholders to gather feedback and refine AI solutions.
Monitor emerging AI technologies and recommend improvements to enterprise AI capabilities.
3+ years of hands-on experience with Google Gemini Enterprise.
Experience integrating enterprise AI platforms with business workflows and enterprise systems.
Experience working as a technical consultant, architect, or subject matter expert in an enterprise environment.
Demonstrated experience implementing AI solutions that deliver measurable business value.
Strong understanding of Gemini Enterprise architecture, APIs, and integration capabilities.
Knowledge of cloud platforms, including GCP, Microsoft Azure, and AWS.
Strong knowledge of Microsoft 365 applications, including SharePoint, Outlook, and Office 365.
Experience translating business requirements into practical technical solutions.
Excellent communication skills and the ability to explain complex concepts to technical and nontechnical stakeholders.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work collaboratively across multiple teams and stakeholders.
Self-directed approach with strong organizational and delivery skills.
Google Cloud Platform certifications.
Hands-on integration experience across GCP, Azure, and AWS.
Experience with API integration, authentication protocols, and data security practices.
Programming or scripting experience with Python, JavaScript, or PowerShell.
Knowledge of AI governance, responsible AI, ethics, and compliance.
Experience supporting organizational change management and user adoption.
Familiarity with Agile methodologies and DevOps practices.
Previous consulting or technical advisory experience.
Ability to identify innovative, practical applications of enterprise AI technology.