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Ai Automation Testing Jobs in Arizona (NOW HIRING)

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Integrate MCP into AI-enabled automation workflows * Develop and maintain BDD test suites * Execute functional, regression, and API automation testing * Collaborate with development teams to improve ...

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Integrate MCP into AI-enabled automation workflows * Develop and maintain BDD test suites * Execute functional, regression, and API automation testing * Collaborate with development teams to improve ...

Experience conducting security testing, attack simulation, validation, or purple team activities. Strong troubleshooting, analytical, and documentation skills Experience with AI, automation, or ...

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

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

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

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

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

What cities in Arizona are hiring for Ai Automation Testing jobs?

Cities in Arizona with the most Ai Automation Testing job openings:

Infographic showing various Ai Automation Testing job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Test Automation Engineer

Select Minds LLC

Phoenix, AZ • On-site

$76K - $90K/yr

Full-time

Posted 14 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Job Title: Test Automation Engineer (Python + GenAI + LLMs)
Location: Phoenix, AZ (Hybrid | Day 1 Onsite | Minimum 3 Days/Week)
Duration: Long Term Contract
Experience Required: 5+ Years
We are seeking an experienced Test Automation Engineer with strong expertise in Python, Generative AI, Large Language Models (LLMs), and Playwright to support enterprise automation initiatives at American Express.
This role requires candidates with hands-on experience building automation solutions that leverage AI technologies. Candidates with only Python automation experience will not be considered. Experience with GenAI and LLMs is mandatory.

Required Skills
  • 5+ years of Test Automation experience
  • Strong Python programming skills
  • Hands-on experience with Large Language Models (LLMs)
  • Practical experience with Generative AI
  • Playwright Automation
  • Model Context Protocol (MCP)
  • BDD Frameworks
  • TestNG
  • TestX
  • Java
  • API Automation experience
  • Git and CI/CD knowledge
Responsibilities
  • Design and develop automated test frameworks using Python and Playwright
  • Build AI-assisted test automation solutions using LLMs and Generative AI
  • Integrate MCP into AI-enabled automation workflows
  • Develop and maintain BDD test suites
  • Execute functional, regression, and API automation testing
  • Collaborate with development teams to improve software quality

Flexible work from home options available.