Storage AI Expert
Hewlett Packard Enterprise (HPE)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and deliver enterprise-scale AI solutions incorporating large language models and generative AI focused on storage and cloud products.
Develop AI agents, copilots, and automation workflows to improve productivity and business outcomes across HPE's Hybrid Cloud platform.
Establish AI reliability, governance, performance standards and build scalable APIs and platforms for AI model deployment in production.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or closely related quantitative discipline.
9-12 years of professional experience.
Technical expertise with AI/ML technologies including Python, PyTorch, Scikit-learn, LangChain, Generative AI models (GPT, Claude, Llama).
Work model: Hybrid with on average 2 days per week onsite at HPE office (location: Not explicitly mentioned).
Ideal Candidate Profile
Experienced in the intersection of machine learning, generative AI, software engineering, and cloud technologies, particularly for storage domain solutions.
Proven ability to translate business requirements into scalable, production-grade AI solutions, with skills in RAG architectures and vector databases.
Capable of mentoring engineering teams and driving adoption of AI best practices, governance, and innovation across product lines.