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 integrating large language models for enterprise-scale storage applications.
Develop AI agents, copilots, and automation systems to improve user productivity and business outcomes within HPE Hybrid Cloud's storage platform.
Implement Retrieval-Augmented Generation architectures, optimize AI models for performance and safety, and establish monitoring and governance for responsible AI deployment.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related quantitative discipline.
3-5 years of relevant experience in AI/ML and software engineering.
Proficiency in Python, SQL, Java/Go, and AI/ML frameworks such as PyTorch and Scikit-learn; hands-on experience with Generative AI technologies including GPT, Claude, Llama, prompt engineering, fine-tuning, RAG, and agentic AI.
Hybrid work model requiring approximately 2 days per week onsite at an HPE office.
Ideal Candidate Profile
Strong expertise operating at the intersection of machine learning, generative AI, software engineering, and cloud technologies to deliver scalable AI-powered products.
Experience working on large-scale AI model deployment, including vector databases and MLOps/LLMOps platforms, ideally within storage or cloud infrastructure domains.
Ability to independently solve complex technical challenges and collaborate with cross-functional teams like data scientists and engineers in an enterprise environment.