jobs in Systems Limited - APAC

全职 AI Solution Architect - Agentic AI 工作, 薪水, Systems Limited - APAC Federal Territory 公司招聘中 - Ricebowl

AI Solution Architect - Agentic AI

Undisclosed

KL City, Federal Territory

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工作地点

  • Jalan Sultan Mizan Zainal Abidin, Kompleks Kerajaan Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

ABOUT:


Architects’ multi-agent and agentic workflow systems — the orchestration layer, memory design, and tool-use permissioning that keep autonomous systems reliable and safe.


KEY RESPONSIBILITIES

  • Design multi-agent architectures — agent roles, coordination patterns, handoff logic (LangGraph, AutoGen, CrewAI)
  • Own agentic workflow design: task decomposition, tool-calling, memory/state management, including knowledge graphs for structured reasoning and long-term memory
  • Define guardrails: tool-use permissioning, kill switches, escalation paths for agent failure
  • Architect the evaluation framework for agentic systems in partnership with AI Assurance/QA
  • Lead technical design reviews for agent-based solutions before they reach build
  • 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


REQUIREMENTS & SKILLS

  • 10–15+ yrs software/AI architecture, with 2+ yrs specifically in agentic/multi-agent systems
  • Deep knowledge of agent orchestration frameworks and their failure modes (loops, deadlocks, drift)
  • Evaluates and architects on managed agentic platforms as per area of specialization including Microsoft Azure AI Foundry Agent Service, AWS Bedrock Agents/Strands Agents, and Google Vertex AI Agent Builder; open-source orchestration (LangGraph, AutoGen, CrewAI) etc.
  • Strong systems-design fundamentals — distributed systems, state machines, 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
  • Can defend an architecture decision under adversarial technical challenge from a client's own architects
  • Writes clear ADRs and architecture documentation that both engineers and executives can follow
  • Experience mentoring/leading a technical team, not just designing solo
  • Comfortable being the accountable technical owner when an agentic system fails in production

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