Storage AI Specialist

Role Overview: As a Storage AI Specialist within the HPE Hybrid Cloud team, you will contribute to the innovation agenda and technology roadmap for HPE, specifically focusing on the Green Lake cloud platform. You will be responsible for designing and building production-grade AI and Generative AI solutions to help customers reimagine their IT needs.

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 to improve productivity.
• 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.
• Establish monitoring, observability, and governance mechanisms for responsible AI deployment.
• Drive experimentation and adoption of emerging AI technologies.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related quantitative discipline.
• Typically 6-9 years of experience.
• Proficiency in Python, SQL, Java, and Go.
• Experience with AI/ML frameworks like PyTorch and Scikit-learn, and tools like LangChain.
• Expertise in Generative AI techniques including prompt engineering, fine-tuning, RAG, and agentic AI.
• Experience with cloud platforms (AWS/Azure), containerization (Kubernetes, Docker), and MLOps tools (MLflow, CI/CD).

Preferred Skills:

• Knowledge of storage domain skills (Block/Object/File Storage).
• Experience with MLOps and LLMOps platforms.
• Expertise in GPU orchestration, model optimization, and inference scaling.
• Experience building platforms supporting multiple AI products and teams.