Google Gemini AI Architect

Veriipro; Cleveland (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Veriipro is looking for a seasoned Google Gemini AI Architect to work in Cleveland, Ohio. You will design and deploy AI and data platforms for industrial enterprises, leveraging Generative AI, LLMs, and Google Cloud technologies.

The ideal candidate has over 6 years of experience in solutions architecture, primarily within manufacturing. Responsibilities include architecting AI solutions, leading technical workshops, and advising C-level executives on AI technology adoption.

Qualifications

• 6+ years in solutions architecture, AI/ML engineering, or technical consulting.
• 1-2+ years specifically in LLMs and Generative AI in production.
• Experience delivering GCP-based AI/ML solutions at enterprise scale.

Responsibilities

• Architect end-to-end Generative AI solutions.
• Lead integration of Vertex AI and Gemini models into enterprise applications.
• Act as a trusted technical advisor to C-level stakeholders.
• Lead development of PoCs and MVPs for AI solutions.
• Provide technical leadership to data scientists and engineers.

Skills

AI/ML engineering

Google Cloud Platform (GCP)

Vertex AI

Python

BigQuery

Google Kubernetes Engine (GKE)

Terraform

Generative AI

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field

Job description

We are seeking a seasoned Google Gemini AI Architect with a strong manufacturing domain expertise and a consulting mindset. You will partner with industrial enterprises to design, deploy, and scale AI and data platforms across plants and enterprise systems, leveraging Generative AI, LLMs, and Google Cloud technologies to drive tangible business impact.

Required Skills

• Experience: 6+ years in solutions architecture, AI/ML engineering, or technical consulting, including 1–2+ years specifically in LLMs and Generative AI in production.
• Technical Expertise:
  • Deep knowledge of Vertex AI, Python, BigQuery, Google Kubernetes Engine (GKE), and vector databases.
  • Experience with cloud-native architecture and infrastructure-as-code (Terraform).
• Cloud Proficiency: Strong experience in Google Cloud Platform (GCP) and production deployments.
• Certifications: Google Cloud Professional Certifications, preferably Professional Cloud Architect or Machine Learning Engineer.
• Other Skills: Strong verbal and written communication skills, with the ability to advise senior executives.

Primary Responsibilities

AI Architecture & Solution Design

• Architect end-to-end Generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and prompt engineering strategies.
• Lead Vertex AI and Gemini Pro/Ultra model integration into enterprise applications, including fine-tuning, evaluation, and inference optimization.
• Ensure AI security, governance, and compliance, including data residency, privacy, and access controls.

Strategic Advisory & Consulting

• Act as a trusted technical advisor to C-level and enterprise stakeholders.
• Define roadmaps, ROI, and best practices for adopting Google Gemini Enterprise and other AI technologies.

Prototyping & Innovation

• Lead hands-on development of PoCs and MVPs to validate AI solutions.
• Evaluate and prototype cutting-edge tools and techniques, including 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 workflows.

Leadership & Mentorship

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

Qualifications & Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Demonstrable experience delivering GCP-based AI/ML solutions at enterprise scale.
• Hands-on experience in industrial or manufacturing AI applications is highly desirable.
• Ability to work in fast-paced, client-facing environments and lead technical workshops.