Job Information
HP Inc. GenAI Test Architect in Vancouver, Washington
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.
Collaborate with data scientists, software development teams and other AI professionals gather insights into their testing needs and challenges, guaranteeing that the AI based approach in driving Ecosystem quality.
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 implementaion with existing and future requirements by gathering inputs from multiple stakeholders - product and program management, users, data scientists and 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.
Keep up with advancements in AI, machine learning, and QA technologies to continually refine our QA automation strategy with state-of-the-art tools and methods.
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 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 DevOps/MLOps 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 them in testing scenarios.
Knowledge of QA automation processes and practices.
Knowledge & Skills
Experience in design and development of software and cloud systems
Designing and testing of highly scalable, reliable systems
Should have lead test automation framework design and deployment.
Thorough knowledge of AI concepts (NLP, deep learning, ML and related adjacencies)
Proficiency in AI frameworks like PyTorch and languages like Python, Java, C++ Data Engineering and distributed computing frameworks
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
- Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
- Provides highly innovative solutions to complex problems within established policy.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
HP offers a comprehensive benefits package, including:
Dental insurance
Disability insurance
Employee assistance program
Flexible schedule
Flexible spending account
Health insurance
Life insurance
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $137,000.00 -- $211,000.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
Equal Opportunity Employer (EEO):
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).