AI Testing Specialist

AI Testing Specialist

Location:

New York, NY

Job Type: Full-Time

Salary Range: $100,000 – $115,000 per year

We are seeking an innovative AI Testing Specialist to lead the adoption of AI-powered Quality Engineering practices across the Software Development Life Cycle (SDLC). The ideal candidate will design and implement intelligent testing frameworks, leverage AI for automated test generation, defect prediction, synthetic test data creation, and optimize testing processes to support rapid software delivery. This role requires expertise in automation, continuous testing, CI/CD integration, and modern quality engineering methodologies to ensure reliable, secure, and high-quality software releases.

• 6–8 years of experience in Software Testing, Test Automation, or Quality Engineering.
• Strong experience in AI-driven testing frameworks and intelligent test automation.
• Hands-on experience with automated test generation and self-healing test frameworks.
• Experience integrating continuous testing into CI/CD pipelines using Jenkins, Git Hub Actions, Git Lab CI, Azure Dev Ops, or similar tools.
• Strong knowledge of test automation tools such as Selenium, Playwright, Cypress, TestNG, JUnit, or similar.
• Experience using AI/ML techniques for defect prediction, test optimization, and synthetic test data generation.
• Strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
• Experience with Agile, Scrum, and Dev Ops methodologies.
• Knowledge of Test-Driven Development (TDD), Behavior-Driven Development (BDD), and User Acceptance Testing (UAT).
• Experience with API testing using Postman, REST Assured, or similar tools.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong programming or scripting skills in Java, Python, JavaScript, or similar languages.
• Excellent analytical, troubleshooting, and communication skills.

Design, develop, and maintain AI-driven testing frameworks with automated test generation and self-healing capabilities. Integrate continuous testing into CI/CD pipelines to enable rapid and reliable software delivery. Leverage AI and machine learning techniques for synthetic test data generation, defect prediction, and test optimization. Develop and execute automated functional, regression, integration, API, and end-to-end test suites. Establish and enforce Quality Engineering best practices across the SDLC.

Define and implement testing standards including TDD, BDD, and UAT methodologies. Collaborate with development, Dev Ops, product, and business teams to ensure quality is embedded throughout the development lifecycle. Analyze test results, identify quality risks, and recommend improvements to enhance software reliability. Monitor test execution, automate reporting, and continuously improve testing efficiency. Support shift-left testing initiatives by integrating quality validation early in the development process.

Evaluate emerging AI testing tools and recommend innovative testing solutions. Ensure applications meet security, performance, scalability, and compliance standards. Mentor team members on AI-enabled testing practices and automation strategies.