Storage AI Specialist

Hewlett Packard Enterprise India Private Limited; Bengaluru; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

Hewlett Packard Enterprise India Private Limited seeks a Storage AI Specialist to design and implement production-grade AI and Generative AI solutions. You will build AI agents, copilots, and automation, and apply RAG architectures using vector databases to scale enterprise knowledge workflows.

The role emphasizes fine-tuning, evaluating models, and deploying scalable APIs with strong governance and monitoring. Hybrid work model with Bengaluru offices supports collaboration and growth.

Qualifications

• Bachelor's or master's degree in CS/engineering or related quantitative discipline.
• Typically, 6–9 years' experience.
• Proficiency in Python, SQL, Java, Go.
• Proficiency in PyTorch, Scikit-learn, LangChain, and Generative AI models (GPT, Claude, Llama).
• Proficiency in Prompt Engineering, Fine‑tuning, RAG, Agentic AI.
• Experience with Vector Databases.
• Cloud & MLOps: AWS/Azure, Kubernetes, Docker, MLflow, CI/CD.
• Good to have: Storage domain skills and MLOps/LLMOps platforms, GPU orchestration, model optimization, and scalable inference.

Responsibilities

• Design and build production-grade AI and generative AI solutions using large language models (LLMs).
• Develop AI agents, copilots, and workflow automation systems to boost productivity and outcomes.
• Implement Retrieval-Augmented Generation (RAG) using vector databases and knowledge sources.
• Fine-tune, evaluate, and optimize models for accuracy, performance, safety, and cost.
• Build scalable APIs, services, and platforms to serve AI models in production.
• Establish monitoring, observability, and governance for responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the org.

Skills

Python

SQL

Java

Go

PyTorch

Scikit-learn

LangChain

Generative AI GPT

Claude

Llama

Prompt Engineering

Fine-tuning

RAG

Agentic AI

Vector Databases

AWS

Azure

Kubernetes

Docker

MLflow

CI/CD

Block/Object/File Storage

LLMOps

GPU orchestration

Model optimization

Inference scaling

Platform building

Education

Bachelor's or Master's degree in CS/engineering or related quantitative discipline

Job description

Storage AI Specialist

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:

We are 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.

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

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, 6-9 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, 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.

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_03

Equal Employment Opportunity

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.

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