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Solutions Architect

NVIDIA· Architect, Solutions
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Hybrid (Remote - Australia)Full-timePosted 7mo ago

About the role

NVIDIA is seeking a Solutions Architect (Data Science) in ANZ to enable GSI partners and AI consulting firms with NVIDIA Nemo/NIM and GenAI full-stack solutions. The role combines technical authority with partner enablement, focusing on generative AI, LLMs, and scalable software engineering, while managing projects and cross-functional relationships.

Responsibilities

  • Becoming an NVIDIA AI expert and enabling GSI developers to adopt NVIDIA Nemo and NIMs for Generative AI offerings, platforms and client services.
  • Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.
  • Work with Business Managers to craft vision and strategies for the GSI group and partner with Solutions Architects, engineering, product and business teams to build GenAI full stack solutions for industry verticals and enterprises.
  • Encourage industry executives and GSI leaders by articulating the business value of Generative AI advances.
  • Create or run Proof of Concept and Demos requiring presentation, explanation of complex topics, Python data pipelines, ML/DL model training and deployment on container orchestrators.
  • Answer questions and mentor the GSI ecosystem; collaborate with Partner Business Managers to assist partners and customers on mission-critical projects and GPU-enabled datacenters.
  • Partner with APAC Regional and HQ Engineering, Product and Sales to develop and plan solutions for Partners; enable product feature growth through customer feedback and PoCs.
  • Run NVIDIA Deep Learning Institute and Skills Transfer sessions with GSI’s, Customers, OEMs and partners.

Qualifications

  • Professional, long-term experience as a Data Scientist focused on AI/DL/ML with customer-facing projects (computer vision, Conversational AI, or data analytics, especially in RAG and Agentic AI workflows).
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience).
  • Strong customer-facing or presales/consulting experience with AI/ML/Big Data frameworks.
  • 5+ years of experience in deep learning, data science, or software development with knowledge of GPU-based parallel computing.
  • Good planning and long-term strategic engagement/orchestration with a broad ecosystem of stakeholders.
  • Clear written and oral communication skills; ability to collaborate with management and engineering; share knowledge.
  • Self-starter with growth mindset; strong presentation, verbal and written communication skills; remote-work capable with team collaboration.
  • Ability to work remotely with a small team and grow with it.

Skills

Required:Data Science / AI / ML
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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