Multi-Agent Systems Architect | Fortune 500 Company

Michael Page International; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Michael Page International in Singapore seeks a seasoned Multi-Agent Systems Architect to design and scale autonomous AI agents and multi-agent workflows for enterprise deployments.

You will build Agentic AI solutions, integrate LLMs with internal systems, and drive Kubernetes-based deployments, RAG pipelines, and CI/CD into production.

The role emphasizes strong programming, distributed systems, and stakeholder engagement to translate innovative AI capabilities into measurable business outcomes.

Qualifications

• 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.

Responsibilities

• 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.

Skills

GenAI

Agentic AI

LLM

RAG

prompt engineering

tool calling

agent orchestration

AI workflows

Kubernetes

Docker

CI/CD

distributed systems

LangChain

LangGraph

CrewAI

Microsoft Agent Framework

Tools

LangChain

LangGraph

CrewAI

Microsoft Agent Framework

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.