AI Test Automation Architect

Role Overview: As an AI Test Automation Architect, you will lead the AI-augmented testing and automation strategy by spearheading automation lifecycle phases through AI and GenAI capabilities. Your responsibilities will include requirement analysis, test design, automation scripting, execution, and self-healing, all while leveraging AI-based tooling. Your role will focus on building a custom AI-driven QA framework rather than adopting existing solutions. Key Responsibilities: - Lead automation architecture and strategy, with a focus on AI/GenAI integration in testing workflows. - Define and design an intelligent test automation ecosystem, incorporating AI-driven requirement analysis and test case generation. - Implement AI-assisted test script creation, self-healing automation, and automated execution orchestration with results analysis. - Evaluate and integrate various AI frameworks and tools such as Google Vertex AI, Gemini, or other LLMs. - Ensure system flexibility by remaining LLM-agnostic, capable of switching between Gemini, OpenAI, or other models with minimal rework. - Work on AI-based problem statement identification and solution design across multiple domains. - Collaborate with architects to define scalable, reusable automation frameworks integrated with CI/CD pipelines. - Drive performance, quality, and automation efficiency through intelligent test management and data evaluation. - Oversee a cross-domain QA team, consisting of approximately 56 members including architects, testers, and automation engineers. Qualifications Required: - Strong experience in test automation leadership and architecture. - Knowledge of AI/GenAI concepts applied in QA, such as prompt-based automation, self-healing, and intelligent test generation. - Hands-on experience with tools like Selenium, Playwright, Cypress, and Python/Java-based automation frameworks. - Familiarity with LLM APIs and AI orchestration, such as Vertex AI, Azure OpenAI, LangChain, etc. - Experience in designing frameworks adaptable across multiple domains and tools. - Excellent understanding of test data management, execution pipelines, and AI governance in QA. Additional Details of the Company: Our client is an innovative company headquartered in Pittsburgh, with a mission to enhance lives by transforming businesses through innovation. With a global presence across 23 locations and a team of 4,200+ employees, including 1,000+ trained in AI and GenAI, we help organizations modernize through a unique blend of engineering excellence, proprietary IP, and proven execution models. The delivery methodology is built on a strong operational framework and a mature governance model that fosters true partnership and joint ownership through equal investments. Role Overview: As an AI Test Automation Architect, you will lead the AI-augmented testing and automation strategy by spearheading automation lifecycle phases through AI and GenAI capabilities. Your responsibilities will include requirement analysis, test design, automation scripting, execution, and self-healing, all while leveraging AI-based tooling. Your role will focus on building a custom AI-driven QA framework rather than adopting existing solutions. Key Responsibilities: - Lead automation architecture and strategy, with a focus on AI/GenAI integration in testing workflows. - Define and design an intelligent test automation ecosystem, incorporating AI-driven requirement analysis and test case generation. - Implement AI-assisted test script creation, self-healing automation, and automated execution orchestration with results analysis. - Evaluate and integrate various AI frameworks and tools such as Google Vertex AI, Gemini, or other LLMs. - Ensure system flexibility by remaining LLM-agnostic, capable of switching between Gemini, OpenAI, or other models with minimal rework. - Work on AI-based problem statement identification and solution design across multiple domains. - Collaborate with architects to define scalable, reusable automation frameworks integrated with CI/CD pipelines. - Drive performance, quality, and automation efficiency through intelligent test management and data evaluation. - Oversee a cross-domain QA team, consisting of approximately 56 members including architects, testers, and automation engineers. Qualifications Required: - Strong experience in test automation leadership and architecture. - Knowledge of AI/GenAI concepts applied in QA, such as prompt-based automation, self-healing, and intelligent test generation. - Hands-on experience with tools like Selenium, Playwright, Cypress, and Python/Java-based automation frameworks. - Familiarity with LLM APIs and AI orchestration, such as Vertex AI, Azure OpenAI, LangChain, etc. - Experience in designing frameworks adaptable across multiple domains and tools. - Excellent understanding of test data management, execution pipelines, and AI governance in QA. Additional Details of the Company: Our client is an innovative company headq