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Weekend Google Cloud Ai Jobs (NOW HIRING)

Agentic AI Architect-Google Cloud

Boston, MA ยท On-site

$163.10 - $191.90/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 ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Lead Cloud AI Engineer - Travel role

Tampa, FL ยท On-site

$120K - $150K/yr

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 ...

Showing results 21-40

Weekend Google Cloud Ai information

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$23

$62

$87

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.

More about Weekend Google Cloud Ai jobs

What cities are hiring for Weekend Google Cloud Ai jobs?

Cities with the most Weekend Google Cloud Ai job openings:

What are the most commonly searched types of Google Cloud Ai jobs?

The most popular types of Google Cloud Ai jobs are:

What states have the most Weekend Google Cloud Ai jobs?

States with the most job openings for Weekend Google Cloud Ai jobs include:

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.

Cloud AI Engineer - TS/SCI clearance - travel role

PGTEK

Tampa, FL โ€ข On-site

$105K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Cloud AI Engineer (Mid-Level)

Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $105,000 - $115,000 (DOE)
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required. U.S. Citizenship is required.

About PGTEK

PGTEK is a trusted provider of enterprise cloud modernization, AI, and infrastructure solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're looking for a Cloud AI Engineer to help lead the migration of mission-critical applications into secure Google Cloud environments.

This role is ideal for engineers with Google Cloud or comparable cloud platform experience who enjoy solving complex technical challenges while working with the latest cloud and AI technologies.

Position Summary

As a Cloud AI Engineer, you will design, implement, and manage secure, scalable Google Cloud solutions supporting federal customers migrating legacy infrastructure into Google Cloud and Gemini for Government environments. You'll own cloud migration projects from architecture through deployment while providing technical guidance to Associate Cloud AI Engineers.

Working within highly secure FedRAMP and DoD environments, you'll help build modern cloud platforms using automation, Infrastructure as Code, Kubernetes, enterprise AI, and Google Cloud best practices.

Responsibilities
  • Design secure, scalable Google Cloud Platform (GCP) solutions for federal customers
  • Lead cloud migration planning and execution from legacy infrastructure to Google Cloud
  • Architect highly available cloud infrastructure supporting mission-critical workloads
  • Design and deploy Google Cloud networking, storage, compute, and security services
  • Implement Google Cloud Assured Workloads environments
  • Design VPCs, hybrid connectivity, load balancing, storage lifecycle policies, and secure network architectures
  • Configure IAM, Cloud KMS, Organization Policies, VPC Service Controls (VPC-SC), and encryption services
  • Deploy and support Google Kubernetes Engine (GKE), Cloud Run, and serverless workloads
  • Design and administer Gemini Enterprise applications, AI services, and Model Garden integrations
  • Build Infrastructure as Code (Terraform) and CI/CD deployment pipelines
  • Utilize Google Cloud SDK, automation tools, and scripting to deploy cloud resources
  • Implement monitoring, logging, observability, and operational best practices
  • Support FedRAMP High, DoD IL4/IL5, and secure government cloud environments
  • Mentor Associate Cloud AI Engineers and provide technical guidance throughout project delivery
  • Collaborate with architects and customer stakeholders to deliver successful cloud modernization initiatives

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related STEM field (or equivalent practical experience)
  • 3-5 years of experience designing and supporting Google Cloud Platform or comparable enterprise cloud environments
  • Experience migrating enterprise workloads from on-premises infrastructure to public cloud
  • Strong understanding of cloud networking, identity management, storage, compute, and security principles
  • Hands-on experience with Infrastructure as Code (Terraform preferred)
  • Experience with CI/CD pipelines and automation
  • Familiarity with Google Cloud SDK (gcloud) or comparable cloud administration tools
  • Experience supporting Kubernetes or containerized environments
  • Strong troubleshooting and problem-solving skills
  • Excellent communication and customer-facing abilities
Preferred Qualifications

Experience with any of the following is highly desirable:

  • Google Cloud Platform (GCP)
  • Google Cloud Well-Architected Framework
  • Google Kubernetes Engine (GKE)
  • Gemini for Government
  • Google AI APIs
  • Gemini Enterprise Agent Platform
  • Model Garden
  • Terraform
  • Hybrid and multi-cloud environments
  • Cloud Observability
  • Reliability Engineering
  • FedRAMP, RMF, NIST 800-53, or DoD cloud environments
  • Google Distributed Cloud (GDC)
Required Certifications
  • Google Cloud Certified - Professional Cloud Architect (PCA) (Required at hire or within 60 days of employment)
  • Google Cloud Certified - Associate Cloud Engineer (ACE) (Required if actively pursuing PCA certification)
Security Clearance
  • Active TS/SCI clearance or eligibility to obtain a TS/SCI clearance is required.

Benefits

Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered.ย  Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance.ย ย  An Employee Assistance Program is available at no cost to all employees.ย  PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment.

ABOUT PGTEK

PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family.

EOE, including disability/veterans