Storage AI Specialist

Design and develop production-grade AI and Generative AI solutions using large language models (LLMs) focusing on user productivity and business outcomes.

Implement advanced AI architectures like Retrieval-Augmented Generation (RAG) and fine-tune foundation models for accuracy, safety, and cost efficiency.

Build scalable APIs and platforms to serve AI models in production with monitoring and governance to ensure responsible AI deployment.

Bachelor's or master's degree in computer science, engineering, or a closely related quantitative discipline.

6-9 years of relevant experience in AI/ML development or related fields.

Proficiency in programming languages including Python, SQL, Java, Go and AI/ML frameworks such as PyTorch and Scikit-learn.

Experience with Generative AI, LLMs (e.g., GPT, Claude, Llama), Prompt Engineering, RAG architectures, vector databases, and cloud technologies (AWS/Azure, Kubernetes, Docker).

Hybrid work model requiring approximately 2 days per week at HPE office.

Experienced AI/ML engineer with a strong background in building and deploying scalable AI solutions, especially in production environments.

Capabilities in developing AI agents, workflow automation, and innovating with emerging AI technologies within cloud platforms.

Candidates with knowledge of storage domain (block/object/file storage), MLOps, LLMOps, GPU orchestration, and multi-product AI platform development are preferred.