AI/ML Architect - Enterprise Kubernetes Leader

Red Hat, Inc.

Singapore

Hybrid

SGD 170,000 - 250,000

Full time

36 hours ago
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Job summary

Red Hat, Inc. in Singapore invites an AI/ML Architect to design production-grade, enterprise Kubernetes blueprints and lead client scoping sessions.

You will craft proofs-of-concept, advise executives, and collaborate with partner ecosystems to validate joint-architecture solutions for large-scale AI workloads. You will leverage your cloud-native expertise, Python, and AI/ML tooling experience to drive secure, multi-tenant environments and contribute to regional product roadmaps.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
  • Proven track record delivering technical consulting, system design, or pre-sales architecture for enterprise customers.
  • Excellent English communication, with ability to present complex architectures to technical and non-technical stakeholders.

Responsibilities

  • Design production-ready architecture blueprints and reference topologies for enterprise-grade Kubernetes environments.
  • Lead technical scoping, discovery, and Proofs-of-Concept with customers and partners.
  • Advise regional engineering teams and executives on AI/ML platform strategies and roadmaps.
  • Collaborate with ecosystem partners to validate joint-architecture solutions and drive adoption.
  • Serve as a technical advisor on platform maturity, security, and compliant deployments.

Skills

Kubernetes
Python
AI/ML
Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Git
Ansible
Terraform

Job description

Red Hat, Inc. in Singapore invites an AI/ML Architect to design production-grade, enterprise Kubernetes blueprints and lead client scoping sessions.

You will craft proofs-of-concept, advise executives, and collaborate with partner ecosystems to validate joint-architecture solutions for large-scale AI workloads. You will leverage your cloud-native expertise, Python, and AI/ML tooling experience to drive secure, multi-tenant environments and contribute to regional product roadmaps.

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