AI Solution Engineer

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. As an AI Solution Engineer, you will architect, build, and deliver AI solutions for customers during the pre-sales stage, working closely with sales and partners to implement proof-of-concepts that can expand to production deployments.

Responsibilities:

• Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI
• Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes
• Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components
• Assist in any product or technical issue towards an initial sale or renewal of a customer
• Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems

Requirements:

• Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus
• 4 years + experience working with Machine Learning or Deep Learning
• Experience working with Kubernetes
• Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM)
• Competency writing ML code (for example, using PyTorch)
• Experience with Python, Unix-like systems
• Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc
• Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it
• Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities
• Experience working with on-premise hardware / GPU clusters
• Strong communicator, presenter and technologist evangelist
• Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI
• Artificial Intelligence Technologies
• Cross Domain Knowledge
• Data Engineering
• Data Science
• Design Thinking
• Development Fundamentals
• Full Stack Development
• IT Performance
• Machine Learning Operations
• Scalability Testing
• Security-First Mindset