Storage AI Engineer
Hewlett Packard Enterprise (HPE)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design and deliver enterprise-scale AI and Generative AI solutions focused on storage applications, including developing complex AI agents and copilots.
Implement and optimize Retrieval-Augmented Generation (RAG) architectures and fine-tune large language models for production use.
Build scalable AI service platforms with monitoring and governance to ensure responsible AI deployment and drive innovation within the organization.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or a closely related quantitative discipline.
3-5 years of relevant work experience in AI/ML and software engineering.
Proficiency in programming languages such as Python, SQL, Java, or Go, and experience with AI/ML frameworks like PyTorch and Scikit-learn.
Ability to work hybrid with onsite presence at an HPE office approximately 2 days per week.
Ideal Candidate Profile
Experienced in building AI-powered products within cloud and storage domains, specifically with large language models and generative AI technologies.
Strong engineering background with skills in scalable API and platform development, MLOps/LLMOps, and cloud-native technologies (AWS/Azure, Kubernetes, Docker).
Capable of independently solving complex technical problems while collaborating across data science and engineering teams to integrate AI capabilities into real-world storage solutions.