Multi-Agent Systems Architect

About the role

A global technology company is looking for a Multi-Agent Systems Architect to build autonomous AI agents and multi-agent systems that drive intelligent automation and operational excellence. The role covers Agentic AI, LLM platforms, Kubernetes infrastructure and production-scale AI deployments.

Key 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 optimise 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, containerisation and CI/CD pipelines.
• Monitor, profile and optimise AI workloads for scalability, efficiency and performance.
• Implement AI security, governance and access-control best practices.

Required profile

• At least 8 years of experience in software engineering, AI/ML platforms, cloud infrastructure or related fields.
• Hands-on experience developing GenAI, Agentic AI or LLM-powered applications.
• Proven experience deploying cloud applications with Kubernetes, Docker and CI/CD.
• Strong programming skills and experience building scalable distributed systems.
• Excellent communication, stakeholder engagement and problem-solving abilities.

Required skills

• RAG, prompt engineering, tool calling, agent orchestration and AI workflows.
• Frameworks such as LangChain, LangGraph, CrewAI, Microsoft Agent Framework or similar.
• Kubernetes, Docker and CI/CD.

What we offer

• The chance to architect and scale enterprise-grade Agentic AI solutions.
• A high-impact role on strategic AI initiatives.
• Exposure to cutting-edge AI frameworks, LLM platforms and cloud technologies.
• Competitive compensation with bonus opportunities.