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 using large language models and implement Retrieval-Augmented Generation architectures with vector databases.
Develop AI agents, copilots, and workflow automation systems to improve user productivity and business outcomes in Storage applications.
Build scalable APIs and platforms for AI model deployment with monitoring and governance to ensure responsible AI usage.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or closely related quantitative discipline.
3-5 years of relevant experience in AI, machine learning, or software engineering.
Proficiency in Python, SQL, Java or Go; experience with PyTorch, Scikit-learn, LangChain, and Generative AI frameworks (e.g., GPT, Claude, Llama).
Hybrid work model requiring average 2 days/week onsite at HPE office.
Ideal Candidate Profile
Strong technical expertise at the intersection of machine learning, generative AI, software engineering, and cloud technologies focused on scalable AI-powered Storage products.
Experience building and optimizing AI models for accuracy, performance, safety, and cost in production environments.
Familiarity with cloud platforms (AWS/Azure), MLOps/LLMOps, Kubernetes, Docker, and Storage domain knowledge (Block/Object/File Storage) is highly advantageous.