Senior AI/ML Architect for Enterprise Kubernetes Solutions

Red Hat Asia-Pacific PTE LTD; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

The Senior AI/ML Architect at Red Hat Asia-Pacific PTE LTD will serve as a highly consultative, customer-facing technical authority at the intersection of Enterprise AI and client infrastructure design.

You will craft production-ready architectural blueprints and guide scoping with strategic customers and partners to remove friction and accelerate adoption of Kubernetes-based platforms for high-scale AI workloads.

Qualifications

• Bachelor's degree or higher in CS/CE or related field.
• Proven consulting, design, or pre-sales experience with enterprise customers.
• Excellent English communication for executives and stakeholders.
• Expertise in Kubernetes-based container platforms and multi-tenant designs.
• Hands-on Python development and scripting experience.

Responsibilities

• Design and document production-ready system architecture blueprints and reference topologies.
• Lead technical scoping, discovery, and execution of deep-dive customer workshops.
• Develop Proofs-of-Concept and architectural walk-throughs for feasibility.
• Advise regional engineering teams and executives translating AI/ML requirements into outcomes.
• Collaborate with external tech ecosystems to validate joint-architecture solutions.
• Take ownership of complex enterprise opportunities and advise on platform maturity and adoption strategies.

Skills

Kubernetes

Python

AI/ML frameworks

Go/Java/Rust

Education

Bachelor's degree or higher in Computer Science / Computer Engineering

Tools

Docker

Ansible

Terraform

Jupyter

Job description

The Senior AI/ML Architect at Red Hat Asia-Pacific PTE LTD will serve as a highly consultative, customer-facing technical authority at the intersection of Enterprise AI and client infrastructure design.

You will craft production-ready architectural blueprints and guide scoping with strategic customers and partners to remove friction and accelerate adoption of Kubernetes-based platforms for high-scale AI workloads.