AI Test Automation Architect

The AI Architect will lead and own the strategic vision and execution of AI-powered test automation initiatives across the Quality Engineering (QE) organization. This role requires a strong blend of in-depth test automation expertise, architectural leadership, and advanced knowledge in AI technologies—especially Generative AI and Agentic AI—to revolutionize testing frameworks and enable predictive, intelligent, and adaptive automation solutions. The architect will define best practices, frameworks, and governance to embed AI capabilities across UI, API, and data testing layers, ensuring scalable, maintainable, and outcome-driven automation at enterprise scale.

Responsibilities

• Strategic Leadership: Own the AI-driven test automation road map 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.