AI Solution Engineer (LLM)

TL;DR

AI Solution Engineer (LLM): Architecting and delivering AI proof-of-concepts and demos for pre-sales engagements with an accent on the integration of hardware, software, and LLM frameworks. Focus on designing scalable AI outcomes, leading technical discussions with prospects, and optimizing deep learning model performance on GPU clusters.

Location: Remote (Must be based in the US)

Salary: $152,000 – $349,000

Company

Global edge-to-cloud company advancing the way people live and work by helping companies connect and analyze their data.

What you will do

• Architect and build AI solutions in the form of demos and proof-of-concepts for customers during pre-sales engagements.
• Lead technical discussions with prospects and partners to propose integrated AI solutions that address business challenges.
• Implement Proof-of-Concepts (PoCs) using a combination of HPE offerings, 3rd party tools, and open-source components.
• Develop prototypes that are expandable to full production deployments post-sales.
• Enable internal teams, partners, and prospects on the value of HPE's AI landscape and real-world problem solving.

Requirements

• Degree in Engineering, Computer Science, or a similar quantitative field.
• 4+ years of experience working with Machine Learning or Deep Learning.
• Proficiency in Python, PyTorch, and Unix-like systems.
• Experience with Kubernetes and LLM frameworks (e.g., LangChain, LlamaIndex, NVIDIA NeMo/NIM).
• Strong understanding of GPU clusters and hardware requirements for deep learning training and inference.
• Must be based in the United States.

Culture & Benefits

• Comprehensive suite of health, financial, and emotional wellbeing benefits.
• Specific personal and professional development programs to support career goals.
• Unconditionally inclusive culture celebrating individual uniqueness.
• Flexible work-from-home arrangement (Remote/Teleworker).