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Ai Agent Jobs in Arizona (NOW HIRING)

3B Staffing LLC

Java AI Engineer

Phoenix, AZ

$51.50 - $70.50/hr

AI Agent Development * Design and implement Agentic AI workflows that automate engineering tasks such as code analysis, PR validation, test orchestration, Results analysis and CI/CD operations.

3B Staffing LLC

Java AI Engineer

Phoenix, AZ

$51.50 - $70.50/hr

AI Agent Development * Design and implement Agentic AI workflows that automate engineering tasks such as code analysis, PR validation, test orchestration, Results analysis and CI/CD operations.

Apex Systems

Manager- Application & AI Security

Scottsdale, AZ · On-site

$59.50 - $79.50/hr

Secure MCP and AI-agent runtimes: per-tool-call authorization, guardrails, and containment. Required Qualifications * Bachelor's degree in Computer Science, Cybersecurity, or a related field, or a ...

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$13

$28

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How much do ai agent jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai agent in Arizona is $28.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $36.97 per hour, depending on experience, location, and employer.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

What are the most commonly searched types of Ai Agent jobs in Arizona?

The most popular types of Ai Agent jobs in Arizona are:

What are popular job titles related to Ai Agent jobs in Arizona?

For Ai Agent jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Agent jobs in Arizona look for?

The top searched job categories for Ai Agent jobs in Arizona are:

What cities in Arizona are hiring for Ai Agent jobs?

Cities in Arizona with the most Ai Agent job openings:

Ai Agent jobs near you
Infographic showing various Ai Agent job openings in Arizona as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $58,431 per year, or $28.1 per hour.

Senior Software Engineer - Fullstack (Node js, Typescript, React & Agent AI Tools) || Hybrid in Phoe

Value Spectrum Technologies LLC

Phoenix, AZ • On-site

Other

Posted 4 days ago

Key responsibilities

  • Design, develop, test, and maintain full-stack applications using Node.js, TypeScript, and React.

  • Develop functionality for API discovery, API inventory, API analysis, and API rationalization.

  • Leverage AI Agent tools / AI-powered developer tools for automation, code analysis, and documentation.

Job description

Title: Senior Software Engineer - FullStack
Experience Required: 11+ Years

Location: Phoenix, AZ, Plano, TX & Remote

Employment Type: Contract W2 & C2C
Job Description:

We are looking for a highly skilled Full Stack Software Engineer with strong hands-on experience in Node.js, TypeScript, and React and experience using AI Agent tools to join an enterprise API Discovery, Inventory, and Rationalization workstream.

The engineer will design, develop, and maintain scalable full-stack applications that help discover, catalog, analyze, and rationalize APIs across an enterprise environment.

The ideal candidate will have strong experience building modern web applications and APIs and should have practical experience using AI Agent tools / AI-powered developer tools to improve software development, automation, code analysis, or application workflows.

Key Responsibilities
  • Design, develop, test, and maintain full-stack applications using Node.js, TypeScript, and React.
  • Develop scalable backend services, REST APIs, and microservices using Node.js and TypeScript.
  • Build responsive and user-friendly React applications, dashboards, and API inventory interfaces.
  • Develop functionality for API discovery, API inventory, API analysis, and API rationalization.
  • Integrate with existing APIs, API gateways, repositories, application platforms, and enterprise systems.
  • Develop capabilities to collect and manage API metadata such as API name, endpoint, owner, version, consumers, dependencies, usage, and lifecycle status.
  • Build features to identify duplicate, obsolete, unused, or redundant APIs.
  • Support API consolidation, modernization, deprecation, and retirement recommendations.
  • Work with OpenAPI/Swagger specifications and RESTful APIs.
  • Develop data processing and analysis workflows to support API discovery and inventory.
  • Leverage AI Agent tools / Agentic AI / AI-powered developer tools for automation, code analysis, API analysis, documentation, and engineering productivity.
  • Integrate AI-powered capabilities into application workflows where appropriate.
  • Write clean, maintainable, reusable, and well-tested code.
  • Participate in code reviews, technical discussions, debugging, and performance optimization.
  • Collaborate with architects, product owners, API teams, application teams, and other engineers.
  • Follow secure coding, CI/CD, testing, and modern software engineering practices.
Required Skills
  • Strong hands-on experience with Node.js.
  • Strong experience with TypeScript.
  • Strong experience with React / React.js.
  • Experience developing REST APIs and microservices.
  • Strong understanding of full-stack application development.
  • Experience working with API specifications such as OpenAPI / Swagger.
  • Experience integrating multiple APIs and enterprise applications.
  • Experience with Git and modern software development practices.
  • Experience with AI Agent tools, Agentic AI, AI coding assistants, or AI-powered developer tools.
  • Strong problem-solving and communication skills.
Preferred Skills
  • Experience with API Management platforms such as Apigee, Kong, MuleSoft, Azure API Management, or AWS API Gateway.
  • Experience with API catalogs, API portals, or API governance.
  • Experience with API discovery, API inventory, API modernization, or API rationalization.
  • Experience with microservices and cloud-native application development.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker/Kubernetes.
  • Experience with CI/CD pipelines.
  • Experience with OAuth 2.0, JWT, API security, and authentication.
  • Experience with databases such as PostgreSQL, MongoDB, or similar.
  • Experience working with LLMs, AI Agents, or agentic development frameworks.

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