AI Solution Architect - Agentic AI

Systems Limited - APAC; Kuala Lumpur; On-site; MYR 180,000 - 360,000; Full time

Job summary

Systems Limited - APAC seeks an experienced software/AI architect to lead multi-agent and agentic system designs in a complex enterprise setting. The role focuses on memory design, tool-use permissioning, and safe orchestration across distributed components.

Discipline spans architecture governance, ADRs, and hands-on reviews while mentoring GenAI engineers. You will interact with Security, Governance, and Platform teams to ensure robust, scalable solutions.

Qualifications

• 10–15+ yrs software/AI architecture experience, incl. agentic/multi-agent systems
• Deep knowledge of agent orchestration frameworks and failure modes (loops, deadlocks, drift)
• Experience with managed agentic platforms (Azure AI Foundry, AWS Bedrock/Strands, Vertex AI Agent Builder) and open-source options
• Strong systems-design fundamentals — distributed systems, state machines, event-driven architectures

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
• Define guardrails: tool-use permissioning, kill switches, escalation paths for agent failure
• Architect the evaluation framework for agentic systems with AI Assurance/QA
• Lead technical design reviews for agent-based solutions
• Design fallback and human-in-the-loop patterns for high-stakes decisions
• Mentor GenAI Engineers on architecture patterns and reviews
• Present agentic system risk/benefit tradeoffs to client stakeholders
• Own architecture governance for agentic builds across the practice
• Facilitate cross-team design reviews with Security, Governance, Platform Engineering

Skills

Agentic architecture

Multi-agent systems

Distributed systems

Architecture documentation

Mentoring engineers

Guardrails tooling

Job description

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