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Agentic AI Architect

Unlock employer Riyadh, Saudi Arabia Under an hour ago · 04 Sep 2026

Financial

  • Estimate: $120k - $150k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional
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Position

We have an immediate opportunity for an Agentic AI Architect with over 15 years of experience at the company in Saudi Arabia. This on-site contract role involves architecting and implementing agentic AI systems utilizing frameworks such as LangChain, CrewAI, LangGraph, or LlamaIndex.

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Your key responsibilities will include:

  • Integrating Camel AI for intelligent message routing, event-driven orchestration, and agent communication.
  • Designing modular, cloud-native architectures preferably on AWS or Azure using microservices and containerization (Docker, Kubernetes).
  • Enabling multi-agent collaboration through protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
  • Leading backend orchestration with Python, Node.js, or Java (Camel DSL).
  • Collaborating with frontend teams to ensure seamless integration via REST/gRPC APIs.
  • Optimizing system performance, scalability, and maintainability.
  • Mentoring engineering teams and defining best practices for agentic workflows.

Required Skills:

  • Deep understanding of agentic AI principles, including autonomous reasoning, memory management, tool use, and multi-step planning.
  • Hands-on experience with Camel AI or Apache Camel for routing, mediation, and integration.
  • Proficiency in LLM orchestration tools (LangChain, AutoGen, MetaGPT, etc.).
  • Strong knowledge of event-driven architecture and containerized deployments (ECS/EKS).
  • Experience with secure API design, RBAC, OAuth, and identity management.
  • Familiarity with frontend-backend integration in SaaS environments (React, Next.js, Vue.js).

Preferred Qualifications:

  • Exposure to Retrieval-Augmented Generation (RAG) and multimodal AI systems.
  • Experience with plugin/tool execution pipelines (e.g., ReAct pattern).
  • Knowledge of vector stores, episodic memory, and context-aware agent design.
  • Prior work in enterprise-grade AI platforms or intelligent task management systems.

This position requires a candidate with a passion for innovation and a commitment to excellence. If you possess the skills and drive to make a significant impact, we would love to hear from you.

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