Storage AI Engineer
Hewlett Packard Enterprise (HPE)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design and build production-grade AI and generative AI solutions leveraging large language models (LLMs) for enterprise storage applications.
Develop AI agents, copilots, and workflow automation to enhance user productivity and business outcomes in storage platforms.
Implement and optimize Retrieval-Augmented Generation architectures and build scalable APIs to deploy AI models with monitoring and responsible governance.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or related quantitative discipline.
Work Experience Required: Typically 3-5 years in relevant fields.
Technical expertise in Python, AI/ML frameworks (PyTorch, Scikit-learn), cloud technologies (AWS/Azure), Kubernetes, Docker, and MLops tools.
Hybrid working mode with average 2 days/week onsite at HPE office; Storage domain expertise is good to have but not mandatory.
Ideal Candidate Profile
Experience at the intersection of machine learning, generative AI, software engineering, and cloud technologies focused on scalable AI products.
Demonstrated ability to lead design and deployment of AI solutions in enterprise-scale or cloud platform environments.
Strong knowledge in working with large language models, vector databases, RAG architectures, and building AI-driven automation within storage or related domains.