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Ai Automation Testing Jobs in Georgia (NOW HIRING)

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Support testing of model retraining, versioning, and deployment pipelines Automation & Engineering * Develop and maintain automated testing frameworks for data pipelines and AI models * Write and ...

Sr. Test Engineer

Atlanta, GA · On-site

$106K - $138K/yr

They are seeking a Sr. Test Engineer responsible for automation testing, unit testing, and ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Manager - AP AI Strategy & Execution

Atlanta, GA · On-site

$63K - $86K/yr

Identifying, evaluating, and prioritizing AI-enabled opportunities that improve AP Automation growth, operating efficiency, customer experience, or scalability. * Building, testing, or helping deploy ...

Manager - AP AI Strategy & Execution

Atlanta, GA · Hybrid

$63K - $86K/yr

Identifying, evaluating, and prioritizing AI-enabled opportunities that improve AP Automation growth, operating efficiency, customer experience, or scalability. * Building, testing, or helping deploy ...

Manager - AP AI Strategy & Execution

Atlanta, GA · Hybrid

$63K - $86K/yr

Identifying, evaluating, and prioritizing AI-enabled opportunities that improve AP Automation growth, operating efficiency, customer experience, or scalability. * Building, testing, or helping deploy ...

... Automation Testing of Unit/UI Tests using tools like Robolectric Company : InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must ...

Showing results 21-40

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

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

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

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

Infographic showing various Ai Automation Testing job openings in Georgia as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Lead Software Engineer

Alpharetta, GA • On-site

Virtusa Corporation
IT Services • 10K+ employees

Temporary

Posted 27 days ago


Job description

Quality Engineer - AI & Test Automation
Role Summary
The AI Automation Quality Engineer is responsible for developing intelligent and scalable test automation solutions using AI/GenAI, modern automation frameworks, and engineering practices to improve software quality, test coverage, and delivery speed.
This is a hands-on Quality Engineering and automation development role, not a primarily manual QA/testing position.
Key Responsibilities
Develop and maintain automated testing frameworks for UI, API, integration, regression, and end-to-end testing.
Build AI-assisted test automation using GenAI tools to generate test cases, test data, automation scripts, and validation scenarios.
Use AI to identify test coverage gaps, regression risks, defects, and potential failure scenarios.
Automate API testing for REST/SOAP services and validate integrations across enterprise applications.
Develop automated regression suites and integrate them into CI/CD pipelines.
Use AI to accelerate test-script generation, test maintenance, defect analysis, root-cause analysis, and test documentation.
Develop and manage test data required for automated testing.
Provide automated quality metrics and test results to support release-readiness decisions.
Pega Testing Experience
Experience with Pega application testing is highly preferred, including:
Pega case-management and workflow testing
Pega Constellation UI
Case Types, Stages, Assignments, SLAs and business rules
Experience or working knowledge of:
AI-assisted test-case generation
AI-assisted automation-code generation with github copilot
Automated test-data generation
AI-assisted identification of test-coverage gaps
AI-assisted defect/root-cause analysis
Using GenAI development tools to improve QE productivity
Testing AI/GenAI-enabled application capabilities
Understanding the challenges of validating non-deterministic AI-generated outputs
Must-Have Technical Skills
Reusable automation components
Preferred Domain Experience
Pega-based enterprise applications
Healthcare dental insurance claims clinical enrollment provider or contactmcenter applications
Java Spring Boot APIs and microservices
Large scale enterprise modernization programs
Candidate Expectations
Candidates whose recent experience is predominantly manual QA testing without significant hands-on automation development should not be submitted

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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