Overview

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. AI is a high-growth market for HPE, and we believe we are uniquely suited to bring our end-to-end technologies spanning compute technologies from Edge to Cloud, purpose-built AI software, interconnect, and services, to support our customers' AI journey. This is an incredibly exciting time to join a dynamic and rapidly growing team where you can play a key role in understanding the needs of our customers and enabling them to deliver their mission critical AI initiatives.

In a typical day as a Solution Architect in AI & HPC, you will:

Responsibilities

• Solution Design and Architecture: Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs. Leverage your expertise in cloud architectures and AI technologies to design scalable, high-performance, and cost-effective solutions that meet customer objectives.


• Pre-Sales Support: Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts, to showcase the capabilities and benefits of our AI-at-Scale solutions. Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively.


• Product Expertise: Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends. Continuously build and maintain deep knowledge of our product portfolio, enabling you to articulate the value proposition and differentiators of our offerings to customers.


• Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases.


• Architect reusable end-to-end AI solutions for HPE customers and prospects


• Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions to address business challenges and opportunities through the use of AI.


• Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements. Recommend configurations and settings for different types of hardware and interconnect fabrics to be used by HPE customers along with AI and HPC Solution Architects and Pre Sales Engineers.


• Assist in any product or technical issue towards an initial sale or renewal of a customer.


• Maintains excellent communication with customer, with key focus on IT managers, administrators, and specialists.


• Work in collaboration with other Solution Engineers / Solution Architects to integrate the full solution pipeline.


• Assesses the impact of new technologies on the company's technical solution portfolio and translates this understanding into practice and knowledge sharing activities for broader presales peers, account managers and partners.


• Actively monitors competitive activities and their client advocates within accounts to anticipate and plans for competitive threats. Increases the company share of wallet through competitive takeout, demonstrating technical superiority, and leveraging other company services for better TCO/ROI.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred.


• Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.


• Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud. Certification in cloud services is highly desirable.


• Strong understanding of AI technologies, including machine learning, deep learning, and neural networks. Familiarity with popular AI frameworks and libraries is a plus.


• Experience participating in solution configurations and the creation of PoCs to meet customer requirements.


• Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization. Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous.


• Demonstrates expert technical skills in assigned area of specialization.


• Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility.


• Expert level written and verbal communication skills and mastery over English and local language.


• Demonstrates expert consultative selling techniques, including active listening, framing, white boarding, storytelling etc.


• Broad knowledge of partner´s and non-standard partner´s offerings and how/when to leverage them for deals within area of specialization.


• Strong project management knowledge or experience with excellent analytical and problem solving skills, including appropriate due diligence.


• Understand the correlation of model, parameter density, data density - with resulting compute and storage requirements (i.e. GPUs required for LSTM?)


• Understand the correlation between CPU, GPUs, memory for different types of models (i.e. instances where 8 GPUs better address the specific use case rather than 16 GPUs?)


• Ability to assess when is on-prem better than Cloud, or not.


• Understanding of how infrastructure scales as the model scales.


• Strong communicator, presenter and technologist evangelist


• Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI.

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.