Principal Quality Assurance Engineer – Generative AI & LLM Platforms

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

Contributions have visible technical impact on a product or major subcomponent.  Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

We are seeking a Senior Quality Engineer to own quality strategy and hands-on validation for enterprise products built with Generative AI, large language models, distributed systems, and modern React-based user interfaces.

This role combines strong software testing fundamentals with AI evaluation expertise. The successful candidate will design automated quality frameworks, test deterministic and probabilistic behaviour, uncover complex cross-layer defects, influence architecture for testability, and help engineering teams deliver secure, reliable, accessible, high-performance products at speed.

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  Define risk-based test strategies, quality gates, release criteria, traceability, and measurable objectives across AI, UI, API, cloud, and network layers.

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  Evaluate model quality, groundedness, safety, privacy, robustness, tool use, permissions, failure recovery, latency, and cost.

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  Validate React interfaces, web standards, accessibility, security, APIs, asynchronous workflows, and enterprise integrations.

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  Test AWS deployments, distributed systems, traffic behavior, scaling, failover, disaster recovery, and adverse network conditions.

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  Build reusable Python and pytest frameworks and execute performance, scale, reliability, and end-to-end testing with CI/CD integration.

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  Use telemetry, incidents, and user feedback to detect regressions, strengthen coverage, and improve preventive controls.

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  Partner across disciplines, use AI-assisted testing responsibly, mentor engineers, and promote shared ownership of quality.

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline.

• 12+ years’ experience with at least 3 years of experience in a lead role

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.