Storage AI Specialist

Storage AI Specialist 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. What you’ll do: 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. Drive experimentation, innovation, and adoption of emerging AI technologies across the organization. What you need to bring: Education and Experience Required: Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline. Typically, 6-9 years’ experience. Programming Python SQL Java, Go AI/ML PyTorch Scikit-learn LangChain Generative AI GPT, Claude, Llama Prompt Engineering Fine-tuning RAG Agentic AI Vector Databases Cloud & MLOps Public Cloud (AWS/Azure) Kubernetes Docker MLflow CI/CD Good To Have Skills Storage Domain Skills (Block/Object/File Storage) MLOps and LLMOps platform experience. GPU orchestration, model optimization, and inference scaling. Experience building platforms supporting multiple AI products and teams Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.