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Ai Automation Testing Jobs in Atlanta, GA (NOW HIRING)

Bennett Thrasher LLP

IT Intern - AI & Automation

Atlanta, GA · On-site

$14.25 - $19/hr

The AI & Automation Intern will support internal AI pilot programs and automation initiatives by ... Support testing and quality assurance for AI agents, workflows, and integrations to ensure ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

We are looking for an experienced AI Engineer with a background in software engineering, QA, automation testing, or business systems analysis. The ideal candidate should have at least one year of ...

Georgia IT

QA Automation Tester

Atlanta, GA · On-site

Role: QA Automation Tester - Hybrid position Start date: 9/14/2026 End date: 3/31/2027 Rate: DOE ... to have AI usage in QA · Experience or knowledge of testing web applications and web services ...

AT and T

Senior Applications Development

Alpharetta, GA · On-site

$116K - $175K/yr

This role is focused on hands-on software development, application enhancements, automation, testing, and production support. What You'll Do * Develop, test, deploy, and support AI-enabled ...

Invesco

Principal Automation & AI Engineer

Atlanta, GA · Hybrid

Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: * Solid Experience: Minimum 6-9 years of ...

Mativ

AI Delivery Manager

Alpharetta, GA · On-site

... intelligent automation solutions. * Establish repeatable delivery practices for AI intake, estimation, planning, backlog management, testing, deployment, release management, and continuous ...

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Ai Automation Testing information

See Atlanta, GA salary details

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How much do ai automation testing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai automation testing in Atlanta, GA is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $56.15 per hour, depending on experience, location, and employer.

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 Atlanta, GA?

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

What job categories do people searching Ai Automation Testing jobs in Atlanta, GA look for?

The top searched job categories for Ai Automation Testing jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Ai Automation Testing jobs?

Cities near Atlanta, GA with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $102,566 per year, or $49.3 per hour.

QA Automation Engineer

Prophecy Technologies

Atlanta, GA • On-site

Full-time

Re-posted 17 days ago

Job description

We are seeking a highly skilled Senior SDET (Software Development Engineer in Test) with strong expertise in test automation, quality engineering, and AI-enabled testing solutions. The ideal candidate will have extensive experience in designing and implementing automation frameworks, integrating AI-driven testing capabilities, and driving quality engineering best practices across the software development lifecycle.
This role requires a hands-on automation professional who can leverage AI tools and intelligent automation techniques to improve test coverage, accelerate release cycles, and enhance overall product quality.
Key Responsibilities
* Design, develop, and maintain scalable test automation frameworks.
* Create and execute automated test scripts for web, API, and enterprise applications.
* Integrate AI-powered testing tools and solutions to improve test efficiency and defect detection.
* Collaborate with developers, business analysts, and product teams to define quality requirements.
* Develop automated regression, functional, integration, and end-to-end test suites.
* Analyze test results, identify root causes, and drive defect resolution.
* Implement quality engineering best practices within Agile and DevOps environments.
* Enhance CI/CD pipelines by incorporating automated testing and quality gates.
* Mentor junior QA engineers and promote automation-first testing strategies.
Required Skills
Mandatory Skills
* 8+ years of experience in Quality Engineering and Test Automation.
* Strong SDET background with hands-on automation expertise.
* Experience with Selenium, Playwright, Cypress, or similar automation tools.
* Strong programming skills in Java, Python, JavaScript, or C#.
* Experience with API testing tools such as Postman, Rest Assured, or Karate.
* Hands-on experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.
* Strong knowledge of Agile, DevOps, and software testing methodologies.
AI & Automation Skills
* Experience leveraging AI tools for test case generation, test optimization, and defect analysis.
* Knowledge of AI-assisted testing platforms and intelligent automation solutions.
* Experience with Generative AI tools such as GitHub Copilot, ChatGPT, Microsoft Copilot, or equivalent.
* Understanding of AI/ML concepts and their application in Quality Engineering.
* Ability to drive AI adoption and automation enablement initiatives within QA teams.
Preferred Skills
* Experience with performance and security testing.
* Cloud testing experience on AWS, Azure, or GCP.
* Containerization knowledge using Docker and Kubernetes.
* Experience working in Banking, Financial Services, or Capital Markets domains.
Education
* Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.
Key Competencies
* Strong analytical and problem-solving skills.
* Excellent communication and stakeholder management abilities.
* Leadership and mentoring capabilities.
* Ability to drive automation transformation and AI adoption initiatives.
* Strong focus on quality, innovation, and continuous improvement.
Keywords: SDET, Automation Testing, Selenium, Playwright, Cypress, Java, Python, API Testing, Quality Engineering, AI Testing, Generative AI, GitHub Copilot, Test Automation Framework, CI/CD, DevOps, Agile.

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