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Ai Test Engineer Jobs in Arizona (NOW HIRING)

Test Engineer

Tucson, AZ ยท On-site

$80K - $100K/yr

By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ... The Test Engineer will work closely across all engineering teams to develop and conduct tests on ...

Test Engineer Tucson, AZ Company Overview Ondas Holdings Inc (NASDAQ:ONDS) is building a new kind ... By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ...

By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ... The Test Engineer will work closely across all engineering teams to develop and conduct tests on ...

Title: Test Engineer Belong, Connect, Grow, with KBR! Program Summary KBR's Defense Systems ... engineering, AI, C6ISR, and missile defense for the Department of Defense and Intelligence ...

Title: Test Engineer Belong, Connect, Grow, with KBR! Program Summary KBR's Defense Systems ... engineering, AI, C6ISR, and missile defense for the Department of Defense and Intelligence ...

Title: Test Engineer Belong, Connect, Grow, with KBR! Program Summary KBR's Defense Systems ... engineering, AI, C6ISR, and missile defense for the Department of Defense and Intelligence ...

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Showing results 1-20

Ai Test Engineer information

See Arizona salary details

$16

$41

$69

How much do ai test engineer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ai test engineer in Arizona is $41.23, according to ZipRecruiter salary data. Most workers in this role earn between $31.15 and $48.85 per hour, depending on experience, location, and employer.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

What are AI Test Engineers?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are some common challenges AI Test Engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What are the key skills and qualifications needed to thrive as an AI Test Engineer, and why are they important?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.
What are popular job titles related to Ai Test Engineer jobs in Arizona? For Ai Test Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Test Engineer jobs in Arizona look for? The top searched job categories for Ai Test Engineer jobs in Arizona are:
What cities in Arizona are hiring for Ai Test Engineer jobs? Cities in Arizona with the most Ai Test Engineer job openings:
Infographic showing various Ai Test Engineer job openings in Arizona as of July 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $85,759 per year, or $41.2 per hour.

AI Test Automation Engineer - Regrello

Cayuse Holdings

Phoenix, AZ โ€ข On-site

$80 - $90/hr

Contractor

Posted 15 days ago


Job description

Job Title: AI Test Automation Engineer - Regrello
Location: Hybrid - Phoenix, AZ

Job Type: Independent Contract (Contractor / Non-Employee)
Start Date: ASAP

Pay Rate: $80-$90 per hour C2C/1099

Contract Length: 12+ Months 

We are seeking a highly motivated QA/Test Automation Engineer to support the testing, validation, and quality assurance of solutions built on the Regrello platform. This role will be responsible for developing and executing test strategies, automating business process testing, validating integrations, and ensuring high-quality workflow automation solutions across enterprise environments.

The ideal candidate will have experience in test automation, API testing, workflow validation, and enterprise application quality assurance. This individual will work closely with Product Owners, Software Engineers, Technical Leads, and business stakeholders to ensure that Regrello workflows, integrations, and platform enhancements meet business, functional, and performance requirements.

Regrello is a workflow orchestration platform that coordinates complex business processes, enterprise applications, documents, and cross-functional teams across manufacturing, supply chain, engineering, quality, and operational environments.


Key Responsibilities

Quality Assurance & Testing

  • Develop and execute comprehensive test plans, test cases, and test scripts.
  • Validate business process workflows configured within the Regrello platform.
  • Ensure all product features meet functional and business requirements.
  • Participate in requirement reviews and provide testability assessments.
  • Track, document, and verify defect resolution.

Test Automation

  • Design and implement automated testing frameworks.
  • Develop and maintain automated regression test suites.
  • Automate workflow execution and business process validation scenarios.
  • Create reusable test assets and automation libraries.
  • Integrate automated testing into CI/CD deployment pipelines.

Workflow Validation

  • Test end-to-end workflow orchestration processes.
  • Validate task routing, approvals, notifications, escalations, and exception handling.
  • Verify workflow configurations align with business requirements.
  • Ensure workflow execution accuracy across multiple environments.
  • Support validation of complex cross-functional business processes.

Integration Testing

  • Test integrations between Regrello and enterprise systems, including:
    • SAP
    • Oracle
    • Salesforce
    • ServiceNow
    • Jira
    • Microsoft Dynamics
    • MES Platforms
    • PLM Systems
    • Data Warehouses
  • Validate data integrity and synchronization processes.
  • Perform API, middleware, and interface testing.
  • Verify error handling and recovery processes.

API & Data Testing

  • Develop automated API test cases.
  • Validate REST API functionality and performance.
  • Test JSON and XML data transactions.
  • Verify authentication, authorization, and security controls.
  • Ensure accurate data processing across integrations.

Agile Delivery Support

  • Participate in sprint planning, backlog refinement, and release activities.
  • Collaborate with developers and product teams during development cycles.
  • Review user stories and acceptance criteria.
  • Support User Acceptance Testing (UAT) and production validation efforts.

Performance & Reliability Testing

  • Execute performance and load testing activities.
  • Identify workflow bottlenecks and scalability concerns.
  • Validate system reliability under expected business volumes.
  • Support stress and endurance testing initiatives.

Defect Management

  • Identify, document, prioritize, and track defects.
  • Perform root cause analysis in collaboration with engineering teams.
  • Verify fixes and validate production readiness.
  • Measure and report quality metrics throughout the SDLC.

Documentation & Reporting

  • Create test plans, test scripts, and execution reports.
  • Maintain traceability between requirements and test cases.
  • Develop quality metrics dashboards and status reports.
  • Document testing procedures and best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 3+ years of Quality Assurance or Test Automation experience.
  • Experience testing enterprise software platforms and workflow applications.
  • Experience with Agile/Scrum development methodologies.
  • Strong analytical and troubleshooting skills.
  • Excellent written and verbal communication skills.

Required Technical Skills

Test Automation

  • Selenium
  • Playwright
  • Cypress
  • TestNG
  • JUnit
  • PyTest

API Testing

  • Postman
  • REST Assured
  • SOAP UI
  • API Automation Frameworks

Programming/Scripting

  • Java
  • Python
  • JavaScript
  • TypeScript

CI/CD & DevOps

  • Azure DevOps
  • Jenkins
  • GitHub Actions
  • Git

Databases

  • SQL Server
  • Oracle
  • PostgreSQL
  • SQL Query Development

Preferred Qualifications

  • Experience testing workflow automation or business process management (BPM) platforms.
  • Direct experience with Regrello implementations.
  • Experience validating enterprise integrations and complex business workflows.
  • Knowledge of manufacturing, supply chain, engineering, or quality business processes.
  • Familiarity with cloud-based applications and SaaS platforms.
  • ISTQB, CSTE, or equivalent QA certification.

Preferred Industry Experience

  • Manufacturing
  • Supply Chain Operations
  • Engineering Program Management
  • Product Development
  • Quality Management
  • Enterprise Software Platforms
  • Digital Transformation Initiatives

These industries commonly use workflow orchestration platforms such as Regrello to automate and manage complex operational processes. [regrello.com], [aventure.vc]

Deliverables

  • Test Strategy and Test Plan Documentation
  • Functional Test Cases and Scripts
  • Automated Regression Test Suites
  • API Test Automation Frameworks
  • Integration Test Results
  • End-to-End Workflow Validation Reports
  • Defect Logs and Resolution Tracking
  • Performance Test Reports
  • Release Readiness Assessments
  • Quality Metrics Dashboards
  • UAT Support Documentation

Success Metrics

  • High test automation coverage across Regrello workflows
  • Reduction in production defects
  • Successful validation of workflow releases
  • Improved regression testing efficiency
  • Timely defect identification and resolution
  • Reliable integration and API testing outcomes
  • Successful support of Agile release cycles
  • Increased stakeholder confidence in platform quality

Ideal Candidate Profile

A successful Regrello QA/Test Automation Engineer combines strong test automation expertise with an understanding of workflow orchestration, enterprise integrations, and business process automation. They are capable of validating complex end-to-end workflows, ensuring high-quality releases, and supporting scalable digital transformation initiatives built on the Regrello platform


USD $80.00 - USD $90.00 /Hr.