AI/ML Enterprise Solution Architect – HPE and NVIDIA Alliance (APAC) at Hewlett Packard Enterprise

Singapore, Singapore, Singapore

Hewlett Packard Enterprise Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, High Performance ComputingIndustries

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
  • Preferred Skills
  • 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)

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 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

Skills

Key technologies and capabilities for this role

AI/MLNVIDIA HGXNVIDIA AI EnterpriseCUDAHPCRAGGPUAI FactorySolution Architecture

Questions & Answers

Common questions about this position

Is this role remote or does it require office work?

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

What is the salary for this position?

This information is not specified in the job description.

What experience and skills are required for this role?

Candidates need 8+ years in technical architecture, presales, or solution architecture roles within AI, HPC, or data infrastructure, along with strong working knowledge of NVIDIA technologies such as DGX, HGX, NVLink, CUDA, NGC, AI tools with nim and nemo, and Omniverse platform.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports career growth.

What makes a strong candidate for this AI/ML Solution Architect role?

A strong candidate will have 8+ years of experience in technical architecture, presales, or solution architecture in AI, HPC, or data infrastructure, plus deep knowledge of NVIDIA technologies like DGX, HGX, CUDA, and Omniverse.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters
1939Year Founded
IPOCompany Stage
Hardware, Enterprise Software, AI & Machine LearningIndustries
10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.
Competition from startups like Flywheel could impact HPE's AI and cloud services.
HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.
HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.
HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.
OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.
Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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