AI Test Automation Architect

Job Description

Strategic Leadership: Own the AI-driven test automation roadmap and champion AI integration into testing frameworks and pipelines across product teams.

AI Innovation & Enablement: Harness Gen AI and Agentic AI technologies to build self-healing tests, intelligent test data generation, predictive QA analytics, and autonomous test agents.

Architecture & Framework Development: Design and evolve scalable AI-powered automation frameworks that integrate seamlessly with CI/CD and DevOps processes, covering UI, API, and data layers.

Governance & Standards: Establish standards, KPIs, and governance models for AI test automation to ensure quality, security, transparency, and measurable ROI.

Collaboration & Mentorship: Partner closely with product teams, QE engineers, data scientists, and DevOps to embed AI-driven automation practices. Mentor engineers to adopt AI capabilities effectively and responsibly.

Performance & Investment Metrics: Define and track KPIs, total cost of ownership (TCO), and effectiveness metrics to guide AI automation investments and demonstrate continuous value.

Risk Management & Ethical AI Use: Ensure AI initiatives conform to ethical guidelines, data privacy laws, and organizational risk policies.

Required Skills

• Proven experience in enterprise test automation architecture, with a focus on AI-powered solutions.
• Deep expertise in Gen AI, Agentic AI, machine learning models applicable to test automation, natural language processing (NLP), and AI orchestration platforms.
• Strong software engineering background with proficiency in modern test automation tools and frameworks (Playwright, Katalon, Selenium, Appium, REST-Assured, etc.).
• Experience with AI-powered testing tools or developing custom AI solutions for automated testing, test data generation, defect prediction, or autonomous testing agents.
• Familiarity with DevOps practices, CI/CD pipelines, cloud-native applications, and infrastructure-as-code.
• Exceptional problem-solving, architectural design, and communication skills, with demonstrated ability to lead cross-functional AI initiatives.