Senior AI Test Automation Engineer

Sree vidhya

Senior AI Test Automation Engineer

Email- **************@*****.***

Phone- +1-732-***-****

AI Test Automation Engineer with 5+ years of IT experience in Software Testing, Test Automation, AI Testing, API Testing, and Quality Engineering.

Strong experience with Generative AI, Google Gemini, and Vertex AI for AI application testing, test scenario generation, and response validation.

Expert in Selenium, Java, Python, JUnit, TestNG, Postman, JMeter, and SQL for functional, automation, API, and performance testing.

Experienced in improving test coverage, identifying defects early, and delivering reliable, scalable, and high-quality applications.

Testing Experience:

•QA and Test Automation professional with 5 years of experience in software testing and quality engineering.

•Strong experience in AI application testing, Generative AI validation, and test automation.

•Hands-on experience with Google Gemini and Vertex AI for AI-based testing and quality validation.

•Experienced in designing functional, regression, integration, API, and end-to-end testing strategies.

•Strong knowledge of Selenium WebDriver using Java and Python for web application automation.

•Experienced in developing reusable automation frameworks using Page Object Model and testing best practices.

•Skilled in REST API testing using Postman and Java-based automation frameworks.

•Experience validating AI-generated responses for accuracy, consistency, relevance, and business requirements.

•Strong experience creating test scenarios, test cases, test data, and automated test scripts.

•Experienced in performance, load, and stress testing using JMeter.

•Skilled in database validation using SQL and backend data verification.

•Experienced with JUnit, TestNG, Maven, Git, GitHub, and GitLab for test development and code management.

•Strong experience in defect tracking, root-cause analysis, test reporting, and release validation.

•Effective collaborator with developers, business analysts, QA teams, and stakeholders to deliver high-quality applications.

Technical Skills:

AI & Generative AI: Generative AI, Google Gemini, Vertex AI, AI Application Testing, Prompt Testing, AI Response Validation, AI Evaluation, Test Data Generation

Test Automation: Selenium WebDriver, Java, Python, Page Object Model, Test Automation Frameworks, JUnit, TestNG

Functional Testing: Functional Testing, Manual Testing, Smoke Testing, Sanity Testing, Regression Testing, End-to-End Testing, UAT

API & Integration Testing: REST API Testing, Postman, API Automation, JSON, XML, Integration Testing, Authentication & Authorization Testing

Performance Testing: JMeter, Load Testing, Stress Testing, Performance Testing, Response Time Analysis, Throughput Testing

Database Testing: SQL, Database Validation, Data Verification, JDBC

Build & Code Management: Maven, Git, GitHub, GitLab, Eclipse

Defect & Test Management: JIRA, Confluence, Test Case Management, Defect Tracking, Test Execution Reporting

Web Technologies: HTML, CSS, JavaScript, Web Applications, Cross-Browser Testing

Testing Practices: Test Planning, Test Case Design, Test Data Preparation, Defect Life Cycle, Root Cause Analysis, Release Validation

Professional Experience:

Client: Wells Fargo Jan 2026 – Present

Role: Senior AI Test Automation Engineer

Responsibilities:

•Designed AI-enabled testing solutions for web and enterprise applications.

•Used Generative AI and Google Gemini to create test scenarios, test data, and automation scripts.

•Leveraged Vertex AI to support AI application validation and quality testing.

•Developed Selenium automation frameworks for end-to-end application testing.

•Created reusable automation components using Java and Python.

•Integrated automated test execution into application delivery workflows.

•Used AI-assisted analysis to identify patterns in application and test failures.

•Automated test-data generation for positive, negative, and boundary test scenarios.

•Built automated validation for critical business workflows.

•Developed reporting mechanisms to track automated test execution and failures.

•Collaborated with developers to identify defects early in the development lifecycle.

•Improved test coverage by converting repetitive manual scenarios into automated tests.

Environment: Generative AI, Google Gemini, Vertex AI, Selenium WebDriver, Java, Python, JUnit, TestNG, Git, GitHub, REST APIs, Postman, JSON, Maven, JIRA.

Client: Cognizant Apr 2023 – June 2024

Role: AI Quality Engineer

Responsibilities:

•Validated Generative AI applications using structured functional and quality-testing approaches.

•Created prompts and evaluation scenarios to validate AI-generated responses.

•Used Google Gemini to assist with test-case creation and test documentation.

•Designed test datasets to evaluate accuracy, consistency, and response behavior.

•Performed AI response validation against predefined business requirements.

•Developed automated API tests for AI-enabled application services.

•Created JUnit and TestNG test suites for application and service validation.

•Implemented automated smoke tests for newly deployed application features.

•Analyzed test results and identified recurring application quality issues.

•Worked with development teams to reproduce and document defects.

•Created test execution reports for functional and AI application testing.

•Supported continuous improvement of AI testing processes and quality standards.

Environment: Generative AI, Google Gemini, Vertex AI, AI Application Testing, Java, Python, Selenium, TestNG, JUnit, Postman, REST API, JSON, GitLab, Maven, Eclipse, JIRA.

Client: LTI Solutions Private Limited Apr 2022 – Nov 2022

Role: Test Automation Engineer

Responsibilities:

•Developed Selenium WebDriver scripts for functional testing of web applications.

•Created Page Object Model-based automation frameworks for maintainable test scripts.

•Automated login, navigation, form validation, and transaction-based test scenarios.

•Executed cross-browser testing across supported application environments.

•Designed reusable test methods for common application components.

•Maintained automated test suites as application functionality changed.

•Performed regression testing after application enhancements and defect fixes.

•Analyzed automation failures and separated application defects from script issues.

•Created test cases based on functional and business requirements.

•Participated in sprint planning and reviewed requirements from a testing perspective.

•Documented defects with reproduction steps, screenshots, and expected results.

•Maintained automation code and test documentation using Git.

Environment: Selenium WebDriver, Java, Python, TestNG, JUnit, Page Object Model, Maven, Git, GitHub, ChromeDriver, REST API, Postman, SQL, Eclipse, JIRA.

Client: Covalense Global Aug 2021– Apr 2022

Role: QA Automation Engineer

Responsibilities:

•Designed REST API test scenarios for application services and backend components.

•Used Postman to validate API requests, responses, headers, and status codes.

•Created automated API tests using Java-based testing frameworks.

•Validated JSON and XML request and response payloads.

•Performed integration testing between frontend, backend, database, and third-party services.

•Verified authentication and authorization behavior across application APIs.

•Created positive and negative API test scenarios to validate error handling.

•Performed data validation between APIs and backend databases.

•Tested service dependencies and identified integration failures.

•Created collections and reusable API test scripts for regression execution.

•Investigated API failures using application logs and request/response details.

•Worked with developers to resolve service-level defects and integration issues.

Environment: REST API, Postman, Java, Selenium, JUnit, TestNG, JSON, XML, SQL, JDBC, GitLab, Maven, Eclipse, JIRA, Confluence.

Client: Accenture Apr 2018 – Dec 2020

Role: QA Engineer – Performance & Regression Testing

Responsibilities :

Developed performance test scenarios to evaluate application response times and stability.

Conducted load and stress testing for critical application workflows.

Analyzed response times, throughput, error rates, and system behavior under load.

Created performance test scripts using JMeter.

Identified performance bottlenecks and shared findings with development teams.

Established regression test suites for frequently used application functionality.

Performed compatibility testing across browsers, operating systems, and devices.

Validated application behavior after database and configuration changes.

Executed end-to-end test cycles for major application releases.

Prepared test execution summaries and defect metrics for project teams.

Participated in defect triage meetings and helped prioritize testing activities.

Supported release readiness activities by validating critical business scenarios.

Environment : JMeter, Selenium WebDriver, Java, TestNG, JUnit, Performance Testing, Load Testing, Stress Testing, Regression Testing, SQL, Git, Maven, Chrome, Firefox, JIRA.

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