Lead AI Architect for Scalable Agent Systems

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD; Kuching; On-site; MYR 250,000 - 500,000; Full time

Job summary

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD is seeking a Lead AI Architect to design end-to-end production-quality agentic AI systems. You will establish reference architectures, drive complex multi-team initiatives, and enforce security, guardrails, and policy compliance across runtimes.

Responsibilities include leading architecture reviews, shaping engineering standards, and guiding collaborations with AI scientists to continuously improve agent quality via telemetry and evaluation

Qualifications

• Masters/PhD in Computer Science, AI or ML with 5+ years in AI-focused role.
• Ability to lead complex, multi-workstream AI or software programmes with architecture ownership.
• Experience designing high-throughput, low-latency systems across software and hardware.
• Security, guardrails, auditability and policy enforcement in agent runtimes.

Responsibilities

• Design production-quality architecture for agentic AI systems end to end.
• Set reference architectures and engineering standards for lead engineers.
• Architect data flywheels with AI Scientists to improve agent quality.
• Embed security and auditability into agent runtimes.
• Drive build-versus-use decisions on OSS and third-party platforms.
• Lead strategic AI programmes across teams and sites.
• Negotiate customer AI requirements and manage vendor partnerships.

Skills

C++

Python

CUDA

Kubernetes

Education

Master’s/PhD in Computer Science/AI/ML

Tools

Kubernetes

Job description

SARAWAK ARTIFICIAL INTELLIGENCE CENTRE SDN BHD is seeking a Lead AI Architect to design end-to-end production-quality agentic AI systems. You will establish reference architectures, drive complex multi-team initiatives, and enforce security, guardrails, and policy compliance across runtimes.

Responsibilities include leading architecture reviews, shaping engineering standards, and guiding collaborations with AI scientists to continuously improve agent quality via telemetry and evaluation