Storage AI Expert

Storage AI ExpertThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.

What you’ll do:

• Design and build production-grade AI and Generative AI solutions using large language models (LLMs).
• Develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources.
• Fine-tune, evaluate, and optimize machine learning and foundation models for accuracy, performance, safety, and cost.
• Build scalable APIs, services, and platforms to serve AI models in production environments.
• Partner with cross-functional teams to identify high-impact AI opportunities and translate business requirements into technical solutions.
• Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.
• Mentor engineers and promote engineering excellence, code quality, and AI best practices.

What you need to bring:

Education and Experience Required:

• Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline.
• Typically, 9-12 years’ experience.

Programming

• Python
• SQL
• Java, Go

AI/ML

• PyTorch
• Scikit-learn
• LangChain

Generative AI

• GPT, Claude, Llama
• Prompt Engineering
• Fine-tuning
• RAG
• Agentic AI
• Vector Databases

Cloud & MLOps

• Public Cloud (AWS/Azure)
• Kubernetes
• Docker
• MLflow
• CI/CD

Good To Have Skills

• Storage Domain Skills (Block/Object/File Storage)
• MLOps and LLMOps platform experience.
• GPU orchestration, model optimization, and inference scaling.
• Enterprise AI governance and evaluation frameworks.
• Experience building platforms supporting multiple AI products and teams

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india

#hybridcloud

Job:

Engineering

Job Level:

TCP_04

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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