Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
Leverage expertise in cloud architectures and AI technologies to design scalable, high-performance, and cost-effective solutions
Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
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
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
Assist in any product or technical issue towards an initial sale or renewal of a customer
Maintain excellent communication with customer, focusing on IT managers, administrators, and specialists
Work in collaboration with other Solution Engineers / Solution Architects to integrate the full solution pipeline
Assess the impact of new technologies on the company’s technical solution portfolio and translate this into practice and knowledge sharing
Actively monitor competitive activities and anticipate competitive threats
Increase company share of wallet through competitive takeout and leveraging other company services for better TCO/ROI
Requirements
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
Understand the correlation of model, parameter density, data density - with resulting compute and storage requirements
Understand the correlation between CPU, GPUs, memory for different types of models
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
Additional Skills: Accountability, Active Learning, Active Listening, Assertiveness, Bias, Building Rapport, Buyer Personas, Coaching, Complex Sales, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Interactions, Design Thinking, Empathy, Financial Acumen, Follow-Through, Growth Mindset, Identifying Sales Opportunities, Industry Knowledge, Intellectual Curiosity, Long Term Planning, Managing Ambiguity
Benefits
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.
Hybrid working arrangement: role designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
Accessibility: Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals.
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