About this role
The Storage AI Specialist will work within the HPE Hybrid Cloud team to lead the innovation agenda and technology roadmap for the Green Lake cloud platform. This role focuses on designing and building production-grade AI and Generative AI solutions to help customers reimagine their IT needs. Responsibilities include developing AI agents, copilots, and workflow automation systems, implementing RAG architectures using vector databases, and fine-tuning foundation models for performance, safety, and cost. The specialist will also build scalable APIs and services, establish monitoring and governance for responsible AI, and drive the adoption of emerging AI technologies. Required qualifications include a bachelor's or master's degree in computer science, engineering, or a related quantitative discipline, with typically 6-9 years of experience. Proficiency in Python, SQL, Java, and Go is required, along with experience in PyTorch, Scikit-learn, LangChain, and various Generative AI models like GPT, Claude, and Llama. Cloud and MLOps experience with AWS/Azure, Kubernetes, Docker, and MLflow is essential. Preferred skills include expertise in storage domains (Block/Object/File), LLMOps, GPU orchestration, and model optimization. This is a hybrid role requiring an average of 2 days per week in the office.