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Google Architect Internship Jobs (NOW HIRING)

Project Architect

Oakland, CA · On-site

$95K - $127K/yr

Qualifications * 5-10 years of experience (excluding internships) from conceptual through ... Software Revit, Bluebeam, Adobe Creative Suite, Google Workspace, Procore (or similar). Why This ...

Cloud Solutions Architect

Phoenix, AZ · Remote

$110K - $120K/yr

... and internship opportunities, AHCCCS offers meaningful career opportunities in a competitive ... Google Certified Professional Cloud Architect- Azure Solutions Architect. Excellent knowledge of ...

Java Architect - Capital Markets

Boston, MA · On-site

$68.50 - $92.25/hr

Direct experience with major cloud providers (AWS, Azure, or Google Cloud Platform) and cloud ... Total years of experience (excluding internships): * Current/Most recent Employer (also mention ...

Certifications in leading cloud platforms such as AWS, Azure, or Google Cloud Platform, showcasing ... We offer an attractive stipend for our interns, recognizing the value and contributions of our team ...

Sr Cloud Architect

Chicago, IL · On-site

$90K - $130K/yr

Certifications in leading cloud platforms such as AWS, Azure, or Google Cloud Platform, showcasing ... We offer an attractive stipend for our interns, recognizing the value and contributions of our team ...

Contribute to system architecture decisions, helping shape the future of Clerkie's technology ... Intro Screen w/ People team (20-30 minutes via Google meet) * Take-Home Challenge & Live Review w ...

Join architectural discussions and observe decision-making processes. * Other duties as assigned ... Knowledge of Rhino, Adobe Premiere Pro, Google Sketchup, and Procore desirable * Ability to be ...

Join architectural discussions and observe decision-making processes. * Other duties as assigned ... Knowledge of Rhino, Adobe Premiere Pro, Google Sketchup, and Procore desirable * Ability to be ...

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

... Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect ... Prior experience mentoring junior engineers or interns in AI/ML domains.

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Google Architect Internship information

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How much do google architect internship jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for google architect internship in the United States is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $26.68 per hour, depending on experience, location, and employer.

What is a Google Architect Internship?

A Google Architect Internship is a temporary role offered to students or recent graduates interested in gaining hands-on experience in designing and building large-scale systems at Google. Interns work alongside experienced architects and engineers, contributing to projects involving cloud computing, infrastructure design, and software architecture. The internship typically lasts for several months and provides opportunities to learn industry best practices, develop technical skills, and gain insight into Google’s innovative engineering culture. Applicants usually need a strong background in computer science, software engineering, or related fields.

What is the difference between Google Architect Internship vs Google Software Engineer Intern?

AspectGoogle Architect InternshipGoogle Software Engineer Intern
Required CredentialsRelevant coursework, technical skills, possibly some certificationsStrong coding skills, computer science fundamentals, relevant coursework
Work EnvironmentProject-based, collaborative, focus on architecture design and planningHands-on coding, development, debugging, and implementation
Employer & Industry UsageUsed in tech companies for designing system architecturesCommon in software development teams for coding and implementation

The Google Architect Internship focuses on designing and planning system architectures, requiring skills in system design and technical planning. In contrast, the Google Software Engineer Intern role emphasizes coding, software development, and implementation. Both internships are valuable in tech, but they target different skill sets and responsibilities within Google's ecosystem.

What are the key skills and qualifications needed to thrive as a Google Architect Intern, and why are they important?

To thrive as a Google Architect Intern, you need a solid understanding of computer science fundamentals, cloud architecture principles, and relevant coursework or a related degree. Familiarity with Google Cloud Platform (GCP), programming languages (such as Python or Java), and tools like Kubernetes or Terraform is typically expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in team-based projects and dynamic environments. These skills ensure interns can contribute meaningfully to projects, learn quickly, and adapt to the fast-paced, innovative culture at Google.

What types of projects do Google Architect Interns typically work on, and how do they contribute to the larger team?

As a Google Architect Intern, you'll often be assigned to real, impactful projects involving system architecture, cloud infrastructure, or large-scale software design. You'll collaborate closely with senior architects and engineers, contributing to the development of scalable and reliable solutions. Interns typically participate in design discussions, code reviews, and may help prototype new features or optimize existing systems. This hands-on experience helps interns understand Google's architectural standards and prepares them for potential full-time roles.
More about Google Architect Internship jobs
What cities are hiring for Google Architect Internship jobs? Cities with the most Google Architect Internship job openings:
What are the most commonly searched types of Google Architect jobs? The most popular types of Google Architect jobs are:
What states have the most Google Architect Internship jobs? States with the most job openings for Google Architect Internship jobs include:
Infographic showing various Google Architect Internship job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $47,818 per year, or $23 per hour.

Other

Posted 9 days ago


Job description

AI Architect Google AI & Generative Intelligence
Location: [Jersey City, NJ / Hybrid]
Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence
Job Description:
We are seeking a highly experienced AI Architect with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Required Qualifications
10 15 years of overall software engineering experience.
5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
Proficiency in Python (primary) and familiarity with Node.js.
Strong background in cloud-native development on Google Cloud Platform.
Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.
Preferred Qualifications
Google Cloud Professional certifications ( Professional ML Architect, Professional Cloud Architect).
Contributions to open-source AI/ML projects.
Experience with edge AI deployments and hybrid cloud-edge inference.
Familiarity with synthetic data generation pipelines.
Prior experience mentoring engineers or interns in AI/ML domains.