Senior AI/ML Enterprise Architect & Open-Source Quickstarts

Red Hat

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Red Hat is seeking an AI/ML Engineer in Singapore to design production-grade architecture blueprints and open-source AI quickstarts for APAC customers. You will work within Customer Engineering to deliver end-to-end solutions with a strong emphasis on security, scalability, and compliant deployments.

The role emphasizes deep technical execution, autonomous problem-solving, and a flat progression based on engineering impact rather than management responsibilities.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related quantitative field.
  • Software Engineering Foundations: Clean code, TDD, CI/CD automation, and Git workflows.
  • Communication: Clear verbal and written English for technical stakeholders.

Responsibilities

  • Design and build production-ready architecture blueprints with enterprise requirements and security boundaries.
  • Package repeatable AI quickstarts and reference codebases for real-world industry problems.
  • Collaborate with external engineering teams to validate joint-architecture blueprints and integrations.
  • Design automated tests, evaluation harnesses, and system telemetry for performance metrics.
  • Incorporate data privacy, secure perimeters, and local hosting considerations for regulated environments.

Skills

Python
Go/C++
PyTorch
NLP frameworks
CI/CD
Git
TDD

Education

Bachelor's or Master's in CS/CE

Tools

Kubernetes
MLflow
Kubeflow
LangChain

Job description

Red Hat is seeking an AI/ML Engineer in Singapore to design production-grade architecture blueprints and open-source AI quickstarts for APAC customers. You will work within Customer Engineering to deliver end-to-end solutions with a strong emphasis on security, scalability, and compliant deployments.

The role emphasizes deep technical execution, autonomous problem-solving, and a flat progression based on engineering impact rather than management responsibilities.

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