Senior AI-Driven Automation QA Engineer - Onsite

Job description

Job Type: Full time / Onsite

Location: Lahore Office

Role Overview

We’re looking for a forward-thinking QA Engineer who can lead an Al First testing Strategy and build next-generation automation frameworks. As a Senior AI-Driven Automation QA Engineer, you will architect intelligent testing systems that leverage LLMs, AI coding assistants, and machine learning to accelerate and enhance the QA l ifecycle across mobile and web platforms.

Responsibilities:

• Architect and implement AI-augmented automation frameworks for mobile and web applications, utilizing LLMs and AI coding assistants to accelerate development.

• Drive the "AI-First" testing strategy, ensuring that all test programs, scripts (unit, integration, regression, API, and UI), and documentation are generated or optimized using AI tools.

• Lead the integration of AI-powered quality gates into CI/CD pipelines to provide predictive analysis and automated defect discovery.

• Perform cross-platform automation on Android, iOS, and web, using AI to manage selector stability and self-healing test scripts.

• Review PRDs and requirements using AI analysis to identify edge cases and ensure early test coverage.

• Analyze complex test results using machine learning models to generate high-level quality metrics and trend reports for stakeholders.

• Act as the AI Subject Matter Expert (SME) by training and mentoring junior QA staff on prompt engineering, AI-assisted coding, and the ethical use of AI in testing.

• Stay at the bleeding edge of AI in QA, constantly evaluating new tools to further automate the SDLC.

Your Qualifications:

• Bachelor’s degree in Computer Science, AI, or a related technical field.

• 5+ years of total QA experience, with a primary focus on automation and a proven track record of integrating AI tools into the workflow.

• 3-4 years of hands-on experience in mobile automation (Appium, Selenium) with specialized knowledge in AI-driven testing platforms.

• Strong programming skills (JavaScript, Python, or similar) with proficiency in using GitHub Copilot, Cursor, or similar AI coding assistants.

• Expertise in Prompt Engineering for the creation of robust, scalable automation frameworks from scratch.

• Experience integrating AI-validated tests with CI/CD tools (e.g., Jenkins, GitHub Actions, Bitbucket Pipelines).

• Deep understanding of AI testing methodologies, including model validation and the use of AI for synthetic data generation.

• Experience with API automation tools (e.g., Postman, RestAssured) augmented by AI-generated test collections.

• Proven leadership and mentoring capabilities, specifically in transitioning traditional QA teams into AI-proficient units.

• Strong verbal and written communication skills in English.

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