Storage AI Engineer

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. Job Family Definition: We are looking for a Storage AI Engineer who will have to deliver enterprise-scale AI solutions, build complex agent ecosystems. You will work at the intersection of machine learning, generative AI, software engineering, and cloud technologies to build scalable AI-powered products and platforms. You will collaborate with data scientists, and engineering teams to bring advanced AI capabilities into real-world Storage applications. The role requires strong technical expertise, creativity, and a passion for solving complex business challenges using state-of-the-art AI technologies. Management Level Definition: Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Exercises independent judgment and consults with tech leads to determine best method for accomplishing work and achieving objectives. What You'll Do Key Responsibilities Design and build production-grade AI and Generative AI solutions using large language models (LLMs). Develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes. Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources. Fine-tune, evaluate, and optimize machine learning and foundation models for accuracy, performance, safety, and cost. Build scalable APIs, services, and platforms to serve AI models in production environments. Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.