GenAI Solutions Architect – Pre-Sales (Hybrid)

Nutanix (old)

Singapore

Hybrid

SGD 180,000 - 300,000

Full time

48 hours ago
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Job summary

Nutanix is seeking an experienced Advisory Solutions Architect - AI to drive customer adoption of Enterprise AI and Cloud Native solutions in a hybrid model with in‑office presence in Singapore. You will lead pre‑sales efforts, architect GenAI environments on Kubernetes, optimize GPU usage, and guide MLOps practices, translating technical value into business impact.

You will interact with AI/ML engineers, data scientists, and executives, shaping reference architectures, running workshops, and

Qualifications

  • 7–9+ years in pre‑sales or solution architecture for AI/ML infrastructure.
  • Deep knowledge of GPU architectures and hardware acceleration.
  • Experience designing GenAI environments and enterprise Kubernetes platforms.

Responsibilities

  • Lead technical pre‑sales engagements and architecture discussions.
  • Design and present architectures for GenAI, LLMs, and high‑scale AI workloads on Kubernetes.
  • Execute high‑impact POCs and guide ROI and business case development.
  • Deliver technical workshops, labs, and demonstrations to prospects.
  • Engage with executives and data science teams to drive adoption and expansion.
  • Collaborate with Product and Engineering to influence AI solutions.

Skills

AI/ML infra
Kubernetes
GenAI workloads
MLOps
Pre‑sales
Leadership
Travel readiness

Education

Bachelor’s degree in CS/IT

Tools

LiteLLM
AI gateways

Job description

Nutanix is seeking an experienced Advisory Solutions Architect - AI to drive customer adoption of Enterprise AI and Cloud Native solutions in a hybrid model with in‑office presence in Singapore. You will lead pre‑sales efforts, architect GenAI environments on Kubernetes, optimize GPU usage, and guide MLOps practices, translating technical value into business impact.

You will interact with AI/ML engineers, data scientists, and executives, shaping reference architectures, running workshops, and

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