Enterprise GenAI Solutions Architect (Data Science)

NVIDIA Corporation; Australia; Remote; AUD 180,000 - 240,000; Full time

Job summary

NVIDIA Corporation is seeking a Solutions Architect (Data Science) to drive deep technical engagement with enterprise customers and partners across industries in Australia and beyond. You’ll connect real-world workloads to NVIDIA’s AI platform, acting as a trusted advisor, architecting scalable GenAI solutions, and leading proofs-of-concept.

You will co-design advanced architectures, collaborate with AI engineering and sales teams, and enable customers through hands-on demos, training, and

Qualifications

• Professional, long-term experience as a Data Scientist focusing on AI/DL/ML.
• Strong customer-facing or presales/consulting experience with AI/ML/Big Data.
• 5+ years in deep learning, data science or software development with GPU parallel computing.
• Experience with building agentic AI apps and RAG workflows.

Responsibilities

• Lead technical engagements and proof-of-concept demonstrations.
• Co-design scalable architectures with customers and partners.
• Collaborate with engineering, product, and sales to build GenAI solutions.
• Deliver training, whitepapers, and demos; write code for data pipelines.
• Plan deployments and provide guidance across stakeholders.

Skills

AI/ML/DS expertise

Python development

Presales/consulting

Customer-facing engagement

Distributed systems

Education

BS/MS/PhD in CS/EE/Physics/Math/Engineering

Tools

Kubernetes

LangChain

LangGraph

NVIDIA Nemo

NIM

Job description

NVIDIA Corporation is seeking a Solutions Architect (Data Science) to drive deep technical engagement with enterprise customers and partners across industries in Australia and beyond. You’ll connect real-world workloads to NVIDIA’s AI platform, acting as a trusted advisor, architecting scalable GenAI solutions, and leading proofs-of-concept.

You will co-design advanced architectures, collaborate with AI engineering and sales teams, and enable customers through hands-on demos, training, and