Genai Test Architect

**Job Summary**:
**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.
- 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.
- 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**

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