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# Google Gemini AI Architect

- **Company:** Centraprise Corp
- **Location:** Cleveland, OH, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Python (Programming Language), Machine Learning, Performance Tuning, Systems Integration, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Kubernetes, Terraform, Automation Anywhere, Data Generation
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/ce7f4701-76e2-4c98-a567-0edeabc9dab5

## About the Role

* Experience: Requires 6+ years in solutions architecture, AI/ML engineering, or technical consulting. The experience should include at least 1-2+ years focused specifically on LLMs and Generative AI in production.
 * Technical skills: Requires deep knowledge of Vertex AI, Python, Big Query, and Google Kubernetes Engine (GKE), Vector databases
 * Cloud proficiency: Requires strong experience with Google Cloud Platform (Google Cloud Platform) and infrastructure-as-code (Terraform).
 * Certifications: Google Cloud Professional Certifications, such as Professional Cloud Architect or Machine Learning Engineer.
 * Demonstratable experience on Google Cloud Platform
 * Verbal and written communication skills, * Coordination and collaboration with multiple stakeholders
 * Guiding and leading the team members
 * Strong communication skills

## Description

* AI architecture and design: Architecting end-to-end Generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and prompt engineering strategies.
 * Vertex AI and Gemini integration: Integrating Gemini Pro/Ultra models into enterprise applications, managing fine-tuning, evaluation, and inference optimization.
 * Security and governance: Implementing AI guardrails, ensuring security, data privacy, and compliance within AI workflows (e.g., managing data residency and access controls).
 * Strategic advisory: Acting as a technical advisor to C-level stakeholders, defining roadmaps, ROI, and best practices for adopting Google Gemini Enterprise.
 * Prototyping and development: Leading hands-on development of Proofs of Concept (PoCs) and Minimum Viable Products (MVPs) to validate designs.

Innovation and Experimentation

 * Evaluate and prototype new tools and techniques in autonomous agents, synthetic data generation, multi-modal models, and AI orchestration.
 * Collaborate with product and business teams to conceptualize AI-powered assistants, copilots, and automation flows.

Leadership and Mentorship

 * Provide technical leadership to data scientists, prompt engineers, and AI developers.
 * Promote a culture of innovation, experimentation, and measurable business impact through AI.


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