Job description:

GenAI Test Architect
Description -
Job Summary:
The GenAI Test Architect will orchestrate the design, development, and deployment of a GenAI-based QA automation strategy across disparate software development teams. This role is crucial for creating a cohesive, AI-driven automation framework that spans our varied product lines, ensuring superior product quality and streamlined development processes. The ideal candidate will combine technical expertise in QA automation with strategic insight into General AI applications to revolutionize testing efficiency, accuracy, and scope.
Key Responsibilities:
Design and implement a robust, scalable GenAI-based QA automation strategy that supports Windows, iOS, cloud services, and firmware development, ensuring seamless integration and scalability across these platforms.
Standardize QA processes and tools across all teams, integrating GenAI technologies to automate testing tasks, minimize manual effort, and identify issues earlier in the development lifecycle.
Align technical architecture, design and implementation with existing and future requirements by gathering inputs from multiple stakeholders - product and program management, users, engineers and analysts, and those in IT operations - and developing processes and products based on the inputs.
Play a key role in defining the AI architecture and selecting appropriate technologies and tools from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
Evaluate and select third-party GenAI QA automation tools and services, ensuring they align with our technological environment and testing requirements.
Create and maintain comprehensive documentation of the QA automation framework, tools, and best practices, promoting knowledge sharing and uniform implementation across teams.
Educate and mentor team members in GenAI-based testing techniques, tools, and best practices, elevating the QA capabilities within the organization.
Assess and enhance the performance of the QA automation framework to guarantee high efficiency, effectiveness, and reliability of testing operations.
Promote cooperation among software development, QA, and IT operations teams to ensure an integrated approach to product quality and release cycles.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or a relevant field, with a significant focus on software quality assurance.
Between 5-8 years of experience in QA automation, including substantial expertise in formulating and executing QA automation strategies.
Proven track record with GenAI tools technologies and their application in QA automation.
Proficiency in automation tools and frameworks, with a comprehensive understanding of testing in Windows, iOS, cloud platforms, and firmware environments.
In-depth knowledge of software development life cycles, Agile methodologies, and DevOpsMLOps practices.
Strong problem-solving abilities and creativity in a dynamic work setting.
Exceptional communication and leadership skills, with the capacity to guide cross-functional teams and spearhead initiatives.
Education Experience Recommended
Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 10+ years of work experience, preferably in systems engineering, computer programming language, or a related field.
Preferred Qualifications:
Advanced degree in Computer Science or a related field.
Certifications relevant to QA methodologies, Agile, or project management.
Experience with machine learning models and applying