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Multi-Agent Systems Architect

Multi-Agent Systems Architect

Michael Page
8-10 Years
Not Disclosed
  • Posted a day ago
  • Be among the first 10 applicants

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.

Contact: Lydia Chen (Lic No: R22108104 / EA no: 18C9065)


Quote job ref: JN-092026-7106055

© Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.

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Key Skills

LangChain

CrewAI

embeddings

vector search

LLMs

LangGraph

Agentic AI

knowledge retrieval

Multi-Agent Systems

Retrieval-Augmented Generation (RAG)

data ingestion

CI/CD

Microsoft Agent Framework

About Company

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8-11 yrs
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Skills:
Apis, Docker, Kubernetes, LangChain, CrewAI, LangGraph, Agentic AI, Multi-Agent Systems, LLMs, Microsoft Agent Framework