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Weekend Google Cloud Ai Jobs (NOW HIRING)

Devoteam

Google Cloud AI Engineer

Alexis, NC

$52.25 - $69.75/hr

Responsabilidades * Disenar, desarrollar e implementar agentes conversacionales inteligentes utilizando Vertex AI Agent Builder. * Integrar LLMs de Google Cloud y de terceros en agentes ...

PGTEK

Lead Cloud AI Engineer

Kansas City, MO · On-site

$120 - $150/hr

As we expand our Google Cloud and AI practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for enterprise cloud migration and AI platform modernization ...

West Monroe

Agentic AI Architect-Google Cloud

Boston, MA · On-site

$70.50 - $90/hr

Agentic AI Architect-Google Cloud West Monroe is seeking an experienced Agentic AI Architect to join our Technology & Experience (TechEx) practice within the Software discipline. This highly client ...

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Weekend Google Cloud Ai information

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How much do weekend google cloud ai jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for weekend google cloud ai in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What does a Weekend Google Cloud AI specialist do?

A Weekend Google Cloud AI specialist is responsible for managing, deploying, and optimizing artificial intelligence solutions using Google Cloud services, typically on weekends or during non-traditional hours. Their duties may include setting up machine learning models, maintaining cloud infrastructure, troubleshooting issues, and supporting teams with AI-driven projects. These professionals ensure the smooth operation and performance of AI applications hosted on Google Cloud, often providing support outside of regular business hours to meet project deadlines or maintain 24/7 services.

What are some common challenges faced by professionals working weekend shifts on Google Cloud AI projects?

Professionals working weekend shifts on Google Cloud AI projects often encounter unique challenges, such as collaborating with team members who primarily work weekdays and managing critical updates or incidents with limited real-time support. Additionally, they may need to work independently, troubleshoot production issues, and ensure continuous service availability during off-peak hours. However, these shifts can offer valuable experience in high-responsibility scenarios and may provide opportunities for skill development and career advancement within cloud and AI operations.

What are the key skills and qualifications needed to thrive as a Weekend Google Cloud AI specialist, and why are they important?

To thrive as a Google Cloud AI Specialist, you need strong knowledge of cloud computing, AI/ML concepts, programming (Python, TensorFlow), and a relevant degree or certifications such as Google Cloud Professional Machine Learning Engineer. Familiarity with Google Cloud Platform (GCP) tools like Vertex AI, BigQuery, and AI APIs is essential. Excellent problem-solving, communication, and time-management skills help you deliver solutions effectively, especially during weekend shifts. These skills ensure efficient implementation and support of AI solutions, maintaining system performance and client satisfaction during off-peak hours.

What is the difference between Weekend Google Cloud Ai vs Weekend Data Analyst?

AspectWeekend Google Cloud AiWeekend Data Analyst
Required CredentialsGoogle Cloud certifications, technical skillsData analysis certifications, Excel, SQL
Work EnvironmentCloud platforms, remote or on-siteOffice, remote, data-focused teams
Industry UsageTech, cloud services, AI projectsBusiness, finance, marketing analysis
Search & Comparison IntentUnderstanding cloud AI roles, skills neededComparing data analysis roles, skills, and tasks

Weekend Google Cloud Ai roles focus on cloud-based AI solutions, requiring technical certifications and cloud platform experience. Weekend Data Analysts analyze data sets to inform business decisions, often using Excel and SQL. While both roles involve data and analytics, Google Cloud Ai emphasizes cloud AI tools and technical skills, whereas Data Analysts focus on data interpretation and reporting. The choice depends on your technical background and career goals in data and AI fields.

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Weekend Google Cloud Ai jobs near you
Infographic showing various Weekend Google Cloud Ai job openings in the United States as of August 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Google Cloud AI Solutions Architect, Gemini Enterprise

The Data Sherpas

Atlanta, GA • On-site

$61 - $83.75/hr

Full-time

Re-posted 4 days ago

Job description

Google Cloud AI Solutions Architect, Gemini Enterprise
Overview
We are seeking a hands-on Google Cloud AI Solutions Architect to design, build, configure, and implement Gemini Enterprise and agentic AI solutions for end clients. This is a client-facing technical delivery role focused on applied AI/ML implementation, not sales.
The right candidate will have strong Google Cloud experience, hands-on Gemini Enterprise or Google Cloud generative AI implementation experience, and the ability to translate client workflows into secure, scalable, production-ready AI solutions. This person should be comfortable moving between architecture, coding, prototyping, configuration, integration, and client-facing technical delivery.
Responsibilities
  • Design, build, configure, and implement Gemini Enterprise solutions for end clients.
  • Develop AI agent workflows that support business use cases, internal processes, enterprise automation, and operational workflows.
  • Build prototypes and proofs of concept that can be iterated into production-ready solutions.
  • Design and implement applied AI/ML solutions using Gemini Enterprise, Vertex AI, and related Google Cloud AI services.
  • Build and deploy LLM-powered applications, AI agents, retrieval-augmented generation workflows, and enterprise AI integrations.
  • Evaluate model options, agent patterns, grounding strategies, retrieval approaches, and integration paths based on client use cases.
  • Configure and deploy Gemini Enterprise agents, integrations, and related Google Cloud AI services.
  • Integrate AI agents with enterprise systems, data sources, APIs, and business applications.
  • Lead technical discovery with clients and translate requirements into solution architecture and implementation plans.
  • Develop scripts, connectors, workflows, or lightweight applications needed to support AI agent implementation.
  • Support model evaluation, prompt optimization, testing, validation, troubleshooting, and production readiness.
  • Apply best practices for cloud security, IAM, data governance, responsible AI, monitoring, and enterprise deployment.
  • Communicate technical recommendations clearly to client engineering, data, security, cloud, and business stakeholders.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Machine Learning, or a related field; equivalent practical experience will also be considered.
  • 5+ years of experience in cloud architecture, AI/ML solution architecture, technical consulting, solution architecture, software engineering, or hands-on client-facing technical delivery.
  • 3+ years of experience working with Google Cloud Platform.
  • Google Cloud Professional Cloud Architect or Google Cloud Professional Machine Learning Engineer certification.
  • Hands-on experience implementing Gemini Enterprise or Google Cloud generative AI solutions.
  • Hands-on experience designing or implementing AI/ML solutions using Google Cloud AI services, including Vertex AI, Gemini, Gemini Enterprise, Agent Builder, Agent Development Kit, or related tools.
  • Experience building, configuring, deploying, or integrating AI agents, generative AI applications, LLM-powered applications, or enterprise AI workflows.
  • Experience building agentic AI workflows using Google Cloud Agent Development Kit, Vertex AI Agent Engine, Agent Builder, or related agent development tools.
  • Experience with core agentic AI implementation patterns such as retrieval-augmented generation, prompt engineering, tool use/function calling, API integrations, enterprise system integration, and/or multi-agent workflows.
  • Experience with LLM application development, embeddings, model evaluation, prompt optimization, and production AI/ML implementation patterns.
  • Strong understanding of Google Cloud AI and data services, such as Vertex AI, Gemini, Gemini Enterprise, BigQuery, BigQuery ML, Cloud Functions, Cloud Run, APIs, IAM, and related services.
  • Ability to code, script, prototype, and troubleshoot technical solutions in client environments.
  • Experience working directly with enterprise clients or internal business stakeholders to gather requirements and implement technical solutions.
  • Strong understanding of cloud security, IAM, data governance, responsible AI, and enterprise deployment best practices.
  • Excellent communication skills with the ability to explain complex technical concepts clearly.
  • Must be a U.S. Citizen.

Preferred Skills
  • Google Cloud Generative AI Leader certification.
  • Experience as a Forward Deployed Engineer, Solutions Architect, AI Architect, ML Engineer, Customer Engineer, Technical Consultant, or hands-on implementation architect.
  • Experience with Python, JavaScript, TypeScript, or similar programming languages.
  • Experience with data integration, workflow automation, enterprise applications, embeddings, vector search, semantic search, model grounding, enterprise search, or retrieval-augmented generation pipelines.
  • Experience in consulting, systems integration, professional services, or client-facing technical delivery.
  • Familiarity with infrastructure as code, CI/CD, containers, serverless architecture, and cloud-native application deployment.

Additional Information
This position is open to direct candidates only. We are not working with third-party agencies, subcontractors, or C2C arrangements for this role.
Candidates must be U.S. Citizens.

Apply