AI Solution Engineer

Who We Are

Hewlett Packard Enterprise is 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

As an AI Solution Engineer, your role will be to architect, build, and deliver AI solutions in the form of demos and proof-of-concepts for customers during the pre-sales stage of customer engagements. These solutions will include a combination of hardware, software, and services that aim to deliver an AI outcome in pursuit of a sales opportunity. Given the broad range of options available for each level of the solution stack, you will be expected to have an understanding of the most popular options and capabilities to make the appropriate recommendations based on prospects' use cases and expected outcomes. You will be working closely with HPE Sales, Architects, and Partners to solution and implement proof-of-concepts that can not only be used as prototypes during pre-sales but also expandable to production deployments post-sales.

In a typical day as an AI Solution Engineer, your responsibilities would include:

• 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.

Your Profile

• 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, LlamaIndex) 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.

What We Can Offer You

• 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.

Key Skills/Competency

• Machine Learning
• Deep Learning
• Kubernetes
• LLM Frameworks
• PyTorch
• Python
• Solution Architecture
• Pre-sales Engineering
• GPU Clusters
• AI Strategy