Senior AI Infrastructure Solutions Architect (Hybrid/Remote)

Nuage Technology Group; Melbourne; Hybrid; AUD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonus

Hybrid/Remote work

Job summary

Nuage Technology Group is seeking a senior AI Solutions Architect to own the technical design behind every customer deal, from first conversation to go-live. This is a hands-on leadership role designing GPU cluster networks and AI infrastructure with direct customer engagement.

You'll work in Sydney or Melbourne, with hybrid or remote options from Australia, and you'll deliver end-to-end network, compute and storage designs, BOMs, and acceptance testing to ensure successful deployments at scale.

Qualifications

• Hands-on design of high-performance data centre networks (RoCE v2, lossless Ethernet, leaf-spine topology).
• Hands-on AI or GPU networking experience.
• Customer-facing solution architecture or pre-sales on large infra deals, incl. BOMs.
• Experience with commissioning or acceptance testing.
• NVIDIA networking, Cisco/Arista, Kubernetes certs highly regarded.

Responsibilities

• Understand customer technical requirements.
• Design GPU cluster solutions end-to-end and produce BOM.
• Define and run acceptance testing through go-live.
• Be the customer’s senior technical contact during delivery.
• Produce the network design and BOM yourself; hands-on role.

Skills

GPU networking

Data centre design

RoCE v2

Kubernetes

Customer-facing architect

Tools

Cisco

Arista

NVIDIA networking

Job description

Nuage Technology Group is seeking a senior AI Solutions Architect to own the technical design behind every customer deal, from first conversation to go-live. This is a hands-on leadership role designing GPU cluster networks and AI infrastructure with direct customer engagement.

You'll work in Sydney or Melbourne, with hybrid or remote options from Australia, and you'll deliver end-to-end network, compute and storage designs, BOMs, and acceptance testing to ensure successful deployments at scale.