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Google Gemini Jobs (NOW HIRING)

Hudson Data LLC

Google Gemini Enterprise Architect

Trenton, NJ · On-site

$69.25 - $89.25/hr

Google Gemini Enterprise Architect Location: Trenton, NJ Duration: 12+Months Contract Job Summary As the Google Gemini Enterprise Architect, you will provide strategic guidance, technical expertise ...

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CAI

Google Gemini Enterprise Architect

Trenton, NJ

$69.25 - $89.25/hr

Google Gemini Enterprise Architect Req number: R8181 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly ...

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Dew Softech Inc

Google Gemini Enterprise Architect

Trenton, NJ · On-site

$69.25 - $89.25/hr

Google Gemini Enterprise Architect Location: Trenton, NJ (On site) Position Type: Contract In Person Interview Must be able to get hands dirty; Gemini SME; this person must have understand the cloud ...

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Zenosys

Google Gemini Enterprise Architect

Trenton, NJ · On-site

$69.25 - $89.25/hr

Hello, Zenosys is looking Google Gemini Enterprise Architect client Trenton, NJ If you are available and interested in the below opportunity, please send me updated resume. Thanks Job Title Google ...

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3B Staffing LLC

Google Gemini AI Architect

Bay Village, OH · On-site

$58.25 - $76.75/hr

Google Gemini AI Architect Location: Cleveland, OH Duration: Fulltime Must Have Technical/Functional Skills • Experience: Requires 6+ years in solutions architecture, AI/ML engineering, or ...

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How much do google gemini jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for google gemini in the United States is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $18.75 per hour, depending on experience, location, and employer.

What is a Google Gemini job?

A Google Gemini job typically refers to roles related to Google's Gemini AI, an advanced family of AI models designed for tasks like natural language understanding and multimodal processing. These roles may involve research, development, or deployment of AI-powered applications within Google. Positions can range from machine learning engineers and AI researchers to product managers and ethical AI specialists. Working in a Google Gemini job requires expertise in AI, deep learning, and large-scale model optimization.

What are the key skills and qualifications needed to thrive in the Google Gemini position, and why are they important?

To thrive as a Google Gemini, you need strong expertise in artificial intelligence, cloud computing, and software engineering, often backed by a degree in computer science or a related field. Familiarity with advanced machine learning frameworks, Google Cloud Platform tools, and experience with collaborative code repositories such as Git are typically required. Excellent problem-solving skills, teamwork, and clear communication are key soft skills for success in this role. These abilities are crucial for developing, integrating, and scaling innovative AI solutions within Google's fast-paced, cross-functional teams.

What are the typical career growth opportunities available for someone in a Google Gemini position?

As a Google Gemini, you can look forward to a range of career advancement opportunities, including moving into senior engineering or product management roles, leading project teams, or specializing further in cutting-edge AI research and development. Many employees also pursue opportunities in cross-functional leadership or transition to roles in technical strategy or innovation management. Google provides abundant resources for professional development, ongoing training, and participation in major tech conferences. This environment is designed to help you continuously expand your skill set and take on greater responsibilities as your expertise grows.

More about Google Gemini jobs
What cities are hiring for Google Gemini jobs? Cities with the most Google Gemini job openings:
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Google Gemini jobs near you
Infographic showing various Google Gemini job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $38,000 per year, or $18.3 per hour.
Google Gemini Enterprise Architect

Google Gemini Enterprise Architect

Hudson Data LLC

Trenton, NJ • On-site

$69.25 - $89.25/hr

Other

Posted 2 days ago

Job description

Job Title: Google Gemini Enterprise Architect
Location: Trenton, NJ
Duration: 12+Months Contract

Job Summary

As the Google Gemini Enterprise Architect, you will provide strategic guidance, technical expertise, and hands-on support for integrating Google Gemini Enterprise.

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 full-time 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.

Only work authorizations not requiring sponsorship now or in the future will be considered.

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

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 stationary 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

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