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Google Artificial Intelligence Jobs (NOW HIRING)

Long Finch Technologies

Artificial Intelligence Architect Java 21+, Spring Boot, Spring AI Microservices, event-driven ... Google ADK, A2A, MCP. Prompt Engineering, prompt caching, Token optimization. AWS

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and ... We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ...

Scatr

Artificial Intelligence Engineer

Cleveland, OH · On-site

$110K - $133K/yr

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and ... Job Overview We are looking to add an experienced Artificial Intelligence (AI) Engineer to our ...

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Google Artificial Intelligence information

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How much do google artificial intelligence jobs pay per year?

As of Sep 13, 2026, the average yearly pay for google artificial intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a Google Artificial Intelligence?

A Google Artificial Intelligence job involves working on cutting-edge AI research, development, and applications within Google's AI and machine learning teams. Roles may include AI research scientists, machine learning engineers, data scientists, and product managers focused on AI-driven solutions. Employees work on projects like Google Search, Google Assistant, TensorFlow, and deep learning models to advance AI capabilities. These jobs require strong technical skills in machine learning, programming, and data analysis, often with experience in Python, TensorFlow, or PyTorch.

What types of projects do professionals in Google Artificial Intelligence typically work on?

Professionals in Google Artificial Intelligence often work on cutting-edge projects such as developing machine learning models, natural language processing applications, computer vision systems, or optimizing large-scale data pipelines. Many roles involve both research and applied development, requiring close collaboration with product managers, software engineers, and data scientists. Teams are typically interdisciplinary, supporting a culture of innovation and rapid experimentation. Employees also have opportunities to contribute to open-source projects and publish research, which can accelerate personal and career growth.

What are the key skills and qualifications needed to thrive in the Google Artificial Intelligence position, and why are they important?

To thrive in a Google Artificial Intelligence role, you need a strong background in computer science, machine learning, and mathematics, typically supported by an advanced degree in a relevant field. Expertise with tools such as TensorFlow, Python, cloud platforms, and familiarity with large-scale data processing systems are essential; certifications in AI or data science can be advantageous. Excellent problem-solving abilities, strong communication skills, and the capacity to work collaboratively within cross-functional teams are critical soft skills. These competencies enable professionals to develop innovative AI solutions that drive impactful business outcomes at scale.

How to get a job in Google Artificial Intelligence?

To get a job in Google Artificial Intelligence, candidates should have a strong background in computer science, machine learning, or related fields, with skills in programming languages like Python and experience with AI frameworks such as TensorFlow. Relevant experience through research, projects, or internships, along with a solid understanding of algorithms and data structures, is also important. Applying through Google's careers portal and preparing for technical interviews are essential steps.
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Google Artificial Intelligence jobs near you
Infographic showing various Google Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

Artificial Intelligence Architect

Cottleville, MO

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

Posted 16 days ago

Job description

NEED ONLY USC/GC. CAN WORK FROM ANY NEARBY OFFICE. NO NEED TO RELOCATE TO A DIFFERENT PLACE

WE ARE LOOKING FOR ARCHITECT FOR THIS POSITION NOT DEVELOPER.

Artificial Intelligence Architect

Java 21+, Spring Boot, Spring AI
Microservices, event-driven architecture (Kafka, SQS/SNS)
REST/GraphQL API design, gRPC
Design patterns, Enterprise architecture and scaling
AI / ML Integration
Experience with Agentic AI / multi-agent frameworks at enterprise scale.
LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
Model serving, inference optimization, prompt engineering
Spring AI, Langgraph, Google ADK, A2A, MCP.
Prompt Engineering, prompt caching, Token optimization.
AWS

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