Multi-Agent Systems Architect

MICHAEL PAGE (PERSONNEL) PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Bonus opportunities

Competitive compensation

Job summary

MICHAEL PAGE (PERSONNEL) PTE. LTD. in Singapore seeks a Multi-Agent Systems Architect to build autonomous AI agents and scalable agentic AI platforms at enterprise scale.

You will deploy on Kubernetes, implement RAG workflows, and integrate with enterprise tools. The role offers high-impact AI initiatives and competitive compensation with bonus opportunities.

Qualifications

• 8+ years of experience in software engineering, AI/ML platforms or cloud infrastructure.
• Hands-on work with GenAI, Agentic AI or LLM-powered apps.
• Expertise in RAG, prompt engineering, tool calling, and agent orchestration.

Responsibilities

• Architect and develop autonomous AI agents with advanced reasoning and task execution.
• Design scalable multi-agent systems and Agentic AI frameworks.
• Build Retrieval-Augmented Generation (RAG) solutions with embeddings and vector search.
• Integrate LLMs with internal apps, APIs, databases and enterprise tools.
• Develop evaluation frameworks for agent performance and business impact.
• Lead deployment of AI platforms via Kubernetes, containers, and CI/CD pipelines.
• Monitor and optimize AI workloads for scalability and efficiency.
• Ensure AI security, governance, and access-control best practices.

Skills

AI/ML platforms

GenAI/Agentic AI

Distributed systems design

Cloud infrastructure

Prompt engineering

Agent orchestration

LangChain/LangGraph/CrewAI

Tools

Kubernetes

Docker

CI/CD

Job description

• Work on cutting-edge Agentic AI and Multi-Agent Systems at enterprise scale
• Join a global technology leader with significant investment in AI innovation

About Our Client

Join a leading global technology company as a Multi-Agent Systems Architect, building autonomous AI agents and multi-agent systems that drive intelligent automation and operational excellence. This role offers the opportunity to work on cutting-edge Agentic AI, LLM platforms, Kubernetes infrastructure, and production-scale AI deployments.

Job Description

• Architect and develop autonomous AI agents capable of advanced reasoning, planning, and task execution.
• Design and implement scalable multi-agent systems and Agentic AI frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions, including data ingestion, embeddings, vector search, and knowledge retrieval.
• Integrate LLMs with internal applications, APIs, databases, and enterprise tools.
• Develop evaluation frameworks to measure agent performance, reliability, and business outcomes.
• Drive AI platform deployment through Kubernetes, containerization, and CI/CD pipelines.
• Monitor, profile, and optimize AI workloads to improve scalability, efficiency, and performance.
• Implement AI security, governance, and access-control best practices.

The Successful Applicant

• At least 8 years of experience in software engineering, AI/ML platforms, cloud infrastructure, or related disciplines.
• Hands-on experience developing GenAI, Agentic AI, or LLM-powered applications.
• Strong knowledge of RAG, prompt engineering, tool calling, agent orchestration, and AI workflows.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, Microsoft Agent Framework, or similar technologies.
• Proven experience deploying cloud applications using Kubernetes, Docker, and CI/CD practices.
• Strong programming skills and experience building scalable distributed systems.
• Excellent communication, stakeholder engagement, and problem-solving capabilities.

What's on Offer

• Opportunity to architect and scale enterprise-grade Agentic AI solutions.
• High-impact role working on strategic AI initiatives.
• Exposure to cutting-edge AI frameworks, LLM platforms, and cloud technologies.
• Competitive compensation package with bonus opportunities.