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As an AI/ML Enterprise Solution Architect – HPE and NVIDIA Alliance (APAC) for the HPE | NVIDIA Alliance in APAC, you will serve as the technical face of the partnership across the region. This role bridges strategic business development with deep technical engagement to accelerate joint HPE-NVIDIA solutions like AI Factory, RAG frameworks, and GPU-accelerated infrastructure. You’ll work closely with NVIDIA solution architects, HPE business units, and regional sales teams to drive adoption of cutting-edge AI and HPC platforms across enterprise, public sector, and research institutions.
Job Responsibility:
Act as the technical lead for NVIDIA solutions (HGX, NVIDIA AI Enterprise, CUDA stack) within the HPE alliance GTM in APAC
Collaborate with regional sales teams to position HPE-NVIDIA joint solutions in key customer opportunities
Support lighthouse accounts and pilot programs by providing architecture guidance, proof-of-concept oversight, and solution differentiation
Partner with NVIDIA and HPE technical teams to localize and scale global offerings such as AI Factory, RAG blueprints, and PCAI
Deliver technical enablement across HPE and NVIDIA field sellers, presales engineers, and partner ecosystems
Serve as a trusted advisor to customers on emerging AI infrastructure needs, workload optimization, and deployment patterns
Drive technical alignment with NVIDIA’s solution architects and GPU-accelerated software stack teams
Provide feedback from the field to influence joint solution roadmaps, content development, and strategic investments
Requirements:
8+ years in technical architecture, presales, or solution architecture roles within AI, HPC, or data infrastructure
Strong working knowledge of NVIDIA technologies (DGX, HGX, NVLink, CUDA, NGC, Ai tool with nim, nemo, Omniverse platform, etc.)
Experience architecting AI or HPC solutions in enterprise or cloud/hybrid environments
Comfortable engaging both technical and executive stakeholders, from CIOs to principal engineers
Familiarity with AI frameworks (TensorFlow, PyTorch), container orchestration (Kubernetes), and MLOps a strong plus
Ability to influence regional teams across multiple cultures and time zones
Exceptional communication and storytelling skills to translate technical value into business outcomes
Bachelor’s or master’s degree in computer science, Engineering, or related field
MBA a plus
Nice to have:
Prior experience working in or with NVIDIA or HPE ecosystems
Existing HPE platforms (ProLiant, Cray, GreenLake, PCAI) or similar technology knowledge
APAC market knowledge with an understanding of enterprise buying cycles, key verticals (FSI, public sector, manufacturing)
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