Senior AI Infrastructure Architect - GPU-Scale Platform

Kerry Consulting Pte Ltd

Singapore

On-site

SGD 180,000 - 320,000

Full time

9 days ago

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Job summary

Unknown is seeking an experienced Solutions Architect to drive the architecture of AI data infrastructure and shape next-generation AI platforms. Reporting to the CTO, you will lead architecture, evaluate technologies and collaborate with internal engineering teams and enterprise customers to deliver scalable, high-performance solutions.

You will design storage, memory, caching and data movement strategies for GPU-based AI workloads, benchmark technologies, and contribute to platform strategy

Qualifications

  • Minimum 10 years of experience in solutions architecture, AI infrastructure, HPC, enterprise storage, or related discipline.
  • Strong expertise in high-performance storage platforms, software-defined and parallel storage, NVMe, NVMe-oF, object and file systems.
  • Excellent communicator with ability to engage with technical and business stakeholders and mentor multidisciplinary teams.

Responsibilities

  • Lead architecture and technical direction of data infrastructure for large-scale AI environments.
  • Design and optimise storage, memory, caching, and data movement to maximise GPU workloads performance.
  • Benchmark new technologies, influence platform strategy, and establish best practices across storage, networking and compute.

Skills

Communication skills

Tools

NVMe
NVMe-oF
RDMA
RoCEv2
InfiniBand
CXL
Memory disaggregation
AI caching

Job description

Unknown is seeking an experienced Solutions Architect to drive the architecture of AI data infrastructure and shape next-generation AI platforms. Reporting to the CTO, you will lead architecture, evaluate technologies and collaborate with internal engineering teams and enterprise customers to deliver scalable, high-performance solutions.

You will design storage, memory, caching and data movement strategies for GPU-based AI workloads, benchmark technologies, and contribute to platform strategy

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