# Storage AI Engineer at Hewlett Packard Enterprise

AI Level 3, AI centrality 70 out of 100. Remote (Bengaluru, Karnātaka, India).

## Details

- Company: [Hewlett Packard Enterprise](https://jobsbylevel.com/companies/hewlett-packard-enterprise)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Remote (Bengaluru, Karnātaka, India)
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/a1f4f50f-c0e6-496c-a8c0-a58208e81141

## Description

Storage AI Engineer 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 What You Need to Bring Required Skills 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/storage-ai-engineer-at-hewlett-packard-enterprise-820810

Source: https://jobsbylevel.com/jobs/storage-ai-engineer-at-hewlett-packard-enterprise-820810

## Cite this page

Level. https://jobsbylevel.com/jobs/storage-ai-engineer-at-hewlett-packard-enterprise-820810.

Get job alerts: https://jobsbylevel.com/newsletter