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Solutions Architect - Data Science

NVIDIA•Australia•🌍 Remote
Full-timeSenior
👁️ 0 views•📝 0 applications•Posted 10/9/2026•Expires 12/8/2026
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Job Description

We’re hiring a Solutions Architect (Data Science) to drive technical engagement with Enterprise customers and partners across a variety of industries. In this role, you’ll connect real-world customer workloads to NVIDIA ’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms.

We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support.

This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships and enablement with a strong presales focus.

This role will help inspire our customers to reimagine, reinvent and operate enterprise business processes using Agentic AI, leveraging the NVIDIA platform.

This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), Ai Frameworks and scalable software engineering practices, but also requires a focus on successfully managing projects and strong personal and organisational skills orchestrating both internal and external relationships with support from the broader ANZ NVIDIA team.

The NVIDIA Solution Architecture team is the first line of technical engagement and expertise between NVIDIA and our customer ecosystem.

Your duties will vary from trusted advisor and enablement to proof-of-concept demonstrations, driving relationships with key executives and managers to evangelize accelerated computing to leverage AI.

Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you What you'll be doing: Becoming an NVIDIA AI expert and en

Required Skills

generative AIlarge language modelsAI Frameworksscalable software engineeringtechnical partnershipspresalesproject managementtechnical engagementproof-of-concept demonstrationsaccelerated computing

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