AI Solution Engineer

Overview

AI Solution Engineer This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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:

Please note: this role can be hired from any US location.

• 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.

• 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. Lang Chain, Lllama Index) 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.

• Accountability

• Action Planning

• Active Learning

• Active Listening

• Bias

• Business

• Business Development

• Business Growth

• Business Planning

• Coaching

• Commercial Acumen

• Creativity

• Critical Thinking

• Cross-Functional Teamwork

• Customer Experience Strategy

• Customer Relationship Management (CRM)

• Data Analysis Management

• Data Collection Management

• Data Controls

• Design Thinking

• Empathy

• Follow-Through

• Growth Mindset

• Intellectual Curiosity

• 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.

• Let's Stay Connected

• Follow the career channel at HPE to see the latest on people, culture and tech at HPE.

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