Description

Define and lead the AI strategy for enterprise testing, designing scalable AI-enabled solutions to transform quality engineering.

This role is remote.

Responsibilities

• Define AI adoption roadmaps and best practices for QA teams, driving enterprise-scale testing modernization.
• Design and implement AI-powered solutions for test case generation, defect prediction, root cause analysis, and intelligent regression testing.
• Architect scalable testing frameworks supporting functional, API, UI, performance, and security testing.
• Integrate AI capabilities into CI/CD pipelines and collaborate with QA, Engineering, and DevOps teams.
• Mentor engineers on AI-assisted testing practices and establish governance standards for AI adoption.

Required Skills

• 10+ years of industry experience in Software Testing, QA Automation, and Test Architecture.
• Minimum 3+ years implementing Artificial Intelligence, Machine Learning, or Generative AI solutions.
• Hands-on experience with Large Language Models (LLMs), Natural Language Processing (NLP), and Prompt Engineering.
• Proficiency in Java and SQL; experience with Python or JavaScript is advantageous.
• Expertise in testing tools such as Selenium and Playwright.
• Strong understanding of SDLC, STLC, CI/CD pipelines, and quality engineering best practices.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.

Preferred Skills

• Experience building AI copilots, AI agents, or Retrieval-Augmented Generation (RAG) solutions.
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern DevOps practices.

Key Skills

Education

Bachelor's degree