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

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what's next for you.

Role Overview

We are looking for a skilled Storage AI Engineer to help ensure the quality, reliability, and safety of our AI-powered products. The ideal candidate has a strong testing mindset, experience with software quality processes, and a passion for evaluating AI systems, including large language models (LLMs), recommendation systems, and intelligent automation features.

As a QA Engineer on our AI product team, you will design and execute testing strategies for both traditional software features and AI-specific behaviors such as model accuracy, hallucination detection, prompt reliability, safety, bias, performance, and user trust. You will work closely with product managers, engineers, data scientists, and designers to validate product quality from concept to production.

This role is ideal for engineers with strong software development fundamentals and a passion for Generative AI technologies.

What You'll Do

Key Responsibilities

Design, develop, and execute test plans for AI-driven products and features
Evaluate model behavior across real-world scenarios, edge cases, and adversarial inputs
Test prompt flows, agent behaviors, recommendations, summarization, search, classification, and generative outputs
Identify and document issues related to hallucinations, inaccurate outputs, bias, unsafe content, latency, and poor user experience
Build automated test frameworks for regression testing and continuous quality assurance
Conduct manual exploratory testing for new AI features and workflows
Create evaluation metrics and quality rubrics for AI product performance
Collaborate with ML engineers and product teams to define success criteria for AI features
Monitor production issues, analyze root causes, and drive quality improvements
Maintain test documentation, defect tracking, and reporting to stakeholders
Partner with cross-functional teams to improve product quality and release readiness

Required Skills

What You Need to Bring

2-4 years of software QA, quality engineering, or related roles
Basic understanding of LLMs, prompt engineering, embeddings, and RAG.
Familiarity with Git, Docker, and cloud environments.
Strong analytical and problem-solving skills.
Ability to learn and work with emerging AI technologies.
Strong understanding of QA methodologies, testing lifecycle, and defect management
Experience with test case design, exploratory testing, and regression testing
Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, Postman, or similar
Familiarity with API testing, DB and backend validation
Ability to think critically about edge cases and user behavior
Excellent communication and documentation skills
Experience with bug tracking tools such as Jira, Azure DevOps, or similar

Preferred Qualifications

Experience testing AI, ML, or GenAI applications
Knowledge of LLM evaluation techniques, prompt testing, RAG systems, or model benchmarking
Familiarity with Python, JavaScript, or automation scripting
Understanding of metrics such as precision, recall, latency, user satisfaction, and error rates
AI observability and evaluation tools.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

Health & Wellbeing

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.

Personal & Professional Development

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.

Unconditional Inclusion

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.

Let's Stay Connected

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Job

Engineering

Job Level

TCP_02

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

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.

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