Payer Solutions Architect coordinating rollout of State and Payer solutions for homecare technology platform. Ensuring customer engagement and timely project implementations while managing multiple stakeholder needs.
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Hybrid Enterprise Solution Architect – Artificial Intelligence, HPE, NVIDIA Alliance
Posted 4 months ago
About the role
- Technical lead for NVIDIA solutions at HPE, collaborating with sales and technical teams in APAC. Driving AI solutions adoption in enterprise and public sectors.
Responsibilities
- 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 localise 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 optimisation, 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 Artificial Intelligence, High-Performance Computing, or Data Infrastructure.
- Working knowledge or familiarity with NVIDIA technologies (DGX, HGX, NVLink, CUDA, NGC, AI tool with nim, nemo, Omniverse platform, etc.)
- Experience in architecting Artificial Intelligence or High-Performance Computing 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 is 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.
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. We make bold moves, together, and are a force for good.
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