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# AI Automation Tester

- **Company:** KARTHIK CONSULTING, LLC
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Coverage, Python (Programming Language), Software Testing Automation Framework
- **Published:** June 24, 2026
- **Apply:** https://www.karthikconsulting.com/jobs/ai-automation-tester/

## About the Role

* Minimum Experience: 2-3 years of specialized AI development experience within technology or software development environments.
 * Preferred Education: Degree from an accredited college or university in Computer Science, Software Engineering, Data Science, or a related field.

## Description

Are you ready to bridge the gap between cutting-edge Generative AI and robust software quality assurance? This role will spearhead modernization of the testing ecosystem by applying AI-driven engineering to requirements analysis, test case preparation, and automated testing., The AI Developer will build an AI-driven engine focused on automating requirements and test case preparation. The role will leverage GitHub Copilot, Databricks, advanced LLMs, Python, Visual Studio Code, and Selenium to create self-healing test automation frameworks that accelerate the development lifecycle while meeting approved security and environmental constraints., * AI-Driven Automation: Design and develop advanced test automation scripts using Selenium with Python, leveraging AI models and LLMs to accelerate script creation, maintenance, and self-healing capabilities.

 * Solution Architecture: Build and optimize solutions within Visual Studio Code using Python to harness generative AI tools, including GitHub Copilot and Databricks.
 * Framework Integration: Integrate existing Python test automation frameworks with new AI-based solutions to boost test coverage, reliability, and efficiency.
 * Security & Compliance: Ensure AI scripts and programs are executable and optimized for postal-issued laptops within approved security and environmental constraints.
 * Knowledge Transfer: Train designated team members to execute, troubleshoot, and maintain newly deployed AI scripts and programs.
 * Documentation: Develop training materials, user guides, and technical documentation to support long-term maintenance.


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