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Google Gemini Enterprise Architect Position Description
We are seeking a Google Gemini Enterprise Architect to join our team. The selected candidate will work onsite in Trenton, NJ alongside the project team.
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.
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
- Prior integration experience with cloud platforms, particularly Google Cloud Platform, Microsoft Azure, and AWS -is highly desired
- Experience with API integration, authentication protocols, and data security practices
- Proficiency 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
Physical Demands:
- Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
- Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
- Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
*** Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.***