AI-Driven Gemini Enterprise Architect

Compunnel Inc.; Trenton (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Compunnel, Inc. seeks a Google Gemini Enterprise Architect to lead enterprise‑scale integration strategies and align Gemini implementations with business goals. You will collaborate with internal agencies, study processes, design secure architectures, and mentor teams on Gemini capabilities and best practices.

The role emphasizes delivering measurable value through scalable AI‑enabled solutions. Remote/onsite flexibility may apply in line with project needs, and staying current with Gemini

Qualifications

• 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.

Responsibilities

• 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.

Skills

Google Gemini Enterprise

Enterprise AI integration

Cross-team collaboration

Communication skills

Project management

Cloud platforms (GCP/AWS/Azure)

Tools

SharePoint

Outlook

Office 365

Python

JavaScript

PowerShell

Job description

Google Gemini Enterprise Architect

Key Responsibilities
- 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

Required Qualifications
- 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 Qualifications
- 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