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نوع العقددوام كامل
طبيعة الوظيفةبالموقع
الموقعالرياض

وصف الوظيفة

About the Role

Systems Arabia is seeking an AI Solution Architect specializing in Agentic AI to join our team in Riyadh, Saudi Arabia. This full-time role involves architecting multi-agent and agentic workflow systems, focusing on the orchestration layer, memory design, and tool-use permissioning to ensure autonomous systems are reliable and safe.

Key Responsibilities

  • Design multi-agent architectures, including agent roles, coordination patterns, and handoff logic using frameworks such as LangGraph, AutoGen, and CrewAI.
  • Lead agentic workflow design, covering task decomposition, tool-calling, and memory/state management, including knowledge graphs for structured reasoning and long-term memory.
  • Define guardrails for agentic systems, including tool-use permissioning, kill switches, and escalation paths for agent failures.
  • Architect the evaluation framework for agentic systems in collaboration with AI Assurance/QA teams.
  • Lead technical design reviews for agent-based solutions prior to implementation.
  • Design fallback and human-in-the-loop patterns for high-stakes agent decisions.
  • Mentor GenAI Engineers on architecture patterns and review their designs.
  • Present agentic system risk/benefit tradeoffs to client technical and business stakeholders.
  • Own architecture governance for agentic builds across the practice.
  • Facilitate cross-team design reviews involving Security, Governance, and Platform Engineering.

Qualifications and Experience

  • 10-15+ years of experience in software/AI architecture, with at least 2 years specifically in agentic/multi-agent systems.
  • Deep knowledge of agent orchestration frameworks and their failure modes, such as loops, deadlocks, and drift.
  • Experience evaluating and architecting on managed agentic platforms, including Microsoft Azure AI Foundry Agent Service, AWS Bedrock Agents/Strands Agents, and Google Vertex AI Agent Builder, as well as open-source orchestration tools like LangGraph, AutoGen, and CrewAI.
  • Strong fundamentals in systems design, including distributed systems, state machines, and event-driven architecture.
  • Experience designing memory architectures (vector + graph-based) for long-running agents.
  • Familiarity with agent evaluation methodologies and benchmarking approaches.
  • Working knowledge of guardrail/governance tooling for agentic systems.

Required Skills

  • Ability to defend architecture decisions under adversarial technical challenge from client architects.
  • Proficiency in writing clear Architecture Decision Records (ADRs) and architecture documentation that is accessible to both engineers and executives.
  • Experience mentoring and leading a technical team, beyond individual design contributions.
  • Comfortable serving as the accountable technical owner when an agentic system fails in production.

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia, working within a team focused on advanced AI solutions.

Application Process

Qualified candidates are invited to apply. Salary details will be discussed during the interview process.


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