Google Gemini Enterprise Architect

Google Gemini Enterprise Architect (AI Integration & Cloud Solutions)

Location: Trenton, NJ (Hybrid)
Duration: Long-Term Contract (12–18+ Months)
Interview Process: Multiple rounds including video and onsite interview

Job Summary

We are seeking an experienced Google Gemini Enterprise Architect to lead the design, integration, and implementation of Google Gemini Enterprise across enterprise environments. The ideal candidate will possess deep expertise in AI platforms, cloud technologies, enterprise architecture, and Microsoft 365 integrations while providing strategic guidance on AI adoption and business transformation.

This role requires a hands-on technical leader who can collaborate with business stakeholders, architects, and development teams to deliver scalable AI-powered solutions.

Key Responsibilities

• Serve as the primary technical expert for Google Gemini Enterprise implementations.
• Design and implement enterprise AI solutions aligned with business objectives.
• Develop AI use cases and implementation strategies across multiple business functions.
• Integrate Google Gemini Enterprise with Microsoft 365, SharePoint, Outlook, and other enterprise applications.
• Architect secure and scalable integrations using APIs and cloud services.
• Collaborate with business and technical teams to gather requirements and recommend AI-driven solutions.
• Create technical documentation, architecture diagrams, implementation guides, and best practices.
• Troubleshoot complex integration and performance issues.
• Mentor technical teams on Gemini Enterprise capabilities and enterprise AI adoption.
• Stay current with emerging AI technologies, cloud innovations, and industry best practices.

Required Skills

• 3+ years of hands-on experience with Google Gemini Enterprise.
• Strong understanding of Google Gemini Enterprise architecture, APIs, and integration capabilities.
• Experience implementing enterprise AI platforms and business workflow automation.
• Strong knowledge of cloud platforms including Google Cloud Platform (Google Cloud Platform), Microsoft Azure, and AWS.
• Experience integrating Microsoft 365 applications including SharePoint, Outlook, and Office 365.
• Experience designing enterprise integration architectures.
• Knowledge of REST APIs, authentication protocols, and secure integration practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work with cross-functional technical and business teams.
• Strong documentation and technical leadership experience.

Preferred Qualifications

• Google Cloud Platform (Google Cloud Platform) certifications.
• Experience with Python, JavaScript, or PowerShell.
• Knowledge of AI governance, responsible AI, and security best practices.
• Experience with Agile, Scrum, or DevOps environments.
• Background in enterprise consulting or solution architecture.
• Experience driving AI adoption and digital transformation initiatives.

Nice to Have

• Experience with enterprise portals and collaboration platforms.
• Familiarity with cloud-native architectures and enterprise security.
• Strong stakeholder management and presentation skills.
• Experience building reusable AI implementation frameworks and use-case libraries.

Why Join?

• Long-term enterprise AI transformation initiative.
• Opportunity to work with cutting-edge Generative AI technologies.
• Exposure to enterprise-scale cloud and AI integrations.
• Collaborative environment with cross-functional architecture and engineering teams.

Interested candidates, please share your updated resume along with your current location, work authorization, and availability for interviews.