Principal Quality Assurance Engineer - Generative AI & LLM Platforms

Principal Quality Assurance Engineer - Generative AI & LLM Platforms

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

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.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Job Family Definition:

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.

Management Level Definition:

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.

Role Overview:

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.

Responsibilities:


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


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


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


* Test AWS deployments, distributed systems, traffic behavior, s...