[Hiring] AI System Architect @HPE

Role Description

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

HPC & AI Business Unit - AI System Architect

Distinguished Technologist. - AI & Machine Learning

Focusing on the AI system architecture needs for customers deploying high performance computing and AI systems, the work consists of architecting, designing, developing, analyzing, troubleshooting and debugging systems, software and solutions for research and/or research development of product, services, and solutions for HPE’s portfolio. Requires a broad knowledge and application of engineering disciplines, methodologies and tools.

Responsibilities:

• Responsible for the overall AI system architecture of in the HPC & AI Infrastructure systems Solutions within HPE Business Unit.
• Develops strategy and technology roadmaps for addressing AI system architecture across multiple platforms and products in the HPC and AI Business unit.
• Ability to work collaboratively with AI and system experts across the company.
• Communicates strategy and technology roadmaps to executive staff, industry partners, and customers.
• Leverages recognized technical and business expertise to influence, guide, and shape business strategy and decision making at the highest organizational levels.
• Provides consultation, design input, and feedback for development and design reviews across multiple organizations and architectures.
• Guides and mentors less-experienced staff members to set an example of AI system design and development innovation and excellence.
• Participates in and provides input on process for selection of future technical leaders.

Qualifications

• Bachelor's, Master's or PHD degree in Computer Science, Information Systems, or equivalent.
• 10+ years experience in AI & HPC technologies.
• Typically 15+ years total experience.
• Industry standards body participation preferred.

Requirements

• Proven track record of delivering AI systems/solutions to solve real-world problems.
• Specific knowledge in AI-for-science use cases would be beneficial.
• Deep understanding of AI system technologies.
• Ability to present internally and externally on AI system architecture.
• Ability to work across business unit teams to deliver complex solution requirements, and drive strategic engagements.
• Industry expert regarding development of AI systems/solutions.
• History of innovation and successful deployment of solutions in the field of advanced AI systems.
• Outstanding analytical and problem solving skills.
• Experience in overall architecture of HPC and AI systems.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate architectures, design proposals, and negotiate options at the most senior organizational levels.

Benefits

• Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
• Personal & Professional Development: Investment in your career with specific programs catered to helping you reach any career goals.
• Unconditional Inclusion: Commitment to an inclusive work environment that celebrates individual uniqueness.