Senior AI Infrastructure Architect

A*STAR Research; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR Research in Singapore seeks a Senior AI Engineer to lead design, implementation and scaling of AI infrastructure, bridging data science and software engineering to build robust, automated pipelines and lifecycle practices.

You will drive high-performance ML platforms, champion privacy-first architectures, and collaborate with cross-disciplinary teams to deliver scalable, developer-friendly systems that support national AI initiatives.

Qualifications

• 1–6+ years in software/platform/devops with 3+ years in MLOps or AI infrastructure.
• Experience designing, building and maintaining end-to-end ML platforms.
• Proficiency in Python and at least one high-performance backend language (Go, C++, Rust or Java).
• Cloud-native architectures and container orchestration (AWS/GCP/Azure; Docker, Kubernetes).

Responsibilities

• Lead the design, implementation, and scaling of AI infrastructure.
• Build automated pipelines and lifecycle practices for model development, deployment and monitoring.
• Bridge data science and software engineering to establish robust, reusable AI systems.
• Architect privacy-first data infrastructures and high-velocity data processing.

Skills

MLOps

ML Platform

Python

Go

Rust

Java

Tools

Docker

Kubernetes

Helm

AWS

GCP

Azure

Job description

A*STAR Research in Singapore seeks a Senior AI Engineer to lead design, implementation and scaling of AI infrastructure, bridging data science and software engineering to build robust, automated pipelines and lifecycle practices.

You will drive high-performance ML platforms, champion privacy-first architectures, and collaborate with cross-disciplinary teams to deliver scalable, developer-friendly systems that support national AI initiatives.