Storage Artificial Intelligence Engineer

Hewlett Packard Enterprise India Private Limited; Bengaluru; Hybrid; INR 2,000,000 - 3,200,000; Full time

Benefits offered by this job

Health & Wellbeing

Professional Development

Inclusive Culture

Job summary

Hewlett Packard Enterprise is hiring a Storage AI Engineer to innovate the AI-driven storage stack. You will design production-grade AI and Generative AI solutions, build AI agents and COPILOT workflows to boost productivity, and implement RAG architectures using vector databases.

You will collaborate with data scientists and engineering teams to bring advanced AI capabilities into storage applications. You will fine-tune models, deploy scalable APIs, and establish governance to ensure

Qualifications

• Bachelor's or Master's degree in computer science, engineering or closely related quantitative discipline.
• Typically, 3-5 years’ experience.

Responsibilities

• 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.
• Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.

Skills

Python

SQL

Java

Go

AI/ML

PyTorch

Scikit-learn

LangChain

Generative AI

GPT/ Claude / Llama

RAG

Vector Databases

Kubernetes

Docker

CI/CD

Education

Bachelor's or Master's degree in computer science, engineering or closely related quantitative discipline

Tools

Vector Databases

LangChain

GPT/Claude/Llama

Kubernetes

Docker

MLflow

CI/CD

Job description

Storage AI Engineer

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

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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.

Job Family Definition

We are looking for a Storage AI Engineer who will have to deliver enterprise-scale AI solutions, build complex agent ecosystems. You will work at the intersection of machine learning, generative AI, software engineering, and cloud technologies to build scalable AI-powered products and platforms. You will collaborate with data scientists, and engineering teams to bring advanced AI capabilities into real-world Storage applications. The role requires strong technical expertise, creativity, and a passion for solving complex business challenges using state-of-the-art AI technologies.

Management Level Definition

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Exercises independent judgment and consults with tech leads to determine best method for accomplishing work and achieving objectives.

Key Responsibilities

• 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.
• Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.

Education and Experience Required

• Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline.
• Typically, 3-5 years’ experience.

What You Need to Bring Knowledge and Skills

• 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.

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.

What We Can Offer You

• 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.

Job

Engineering Job Level: TCP_02

Equal Employment Opportunity Statement

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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.