AI Solution Architect - Agentic AI

Systems Limited; Lahore; On-site; PKR 6,000,000 - 12,000,000; Full time

Job summary

Systems Limited is seeking an experienced architect to lead the design of agentic, multi-agent systems. You will shape architecture patterns, memory structures, and tool-use governance while mentoring GenAI engineers and presenting tradeoffs to client stakeholders.

You will collaborate across Security, Governance, and Platform Engineering to ensure reliable, safe agentic deployments and strong ADRs supporting engineering teams and executives.

Qualifications

• 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 (Azure/AWS/Google) including open-source options.
• 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 client architects.
• Writes clear ADRs and architecture documentation for engineers and executives.
• Experience mentoring/leading a technical team, not just solo design.
• Comfortable being the accountable technical owner when an agentic system fails in production.

Responsibilities

• Design multi-agent architectures — agent roles, coordination patterns, handoff logic.
• Own agentic workflow design: task decomposition, tool-calling, memory/state management.
• Define guardrails: tool-use permissioning, kill switches, escalation paths.
• Architect the evaluation framework for agentic systems with QA and Assurance.
• Lead technical design reviews for agent-based solutions before build.
• Design fallback and human-in-the-loop patterns for high-stakes decisions.
• Mentor GenAI Engineers on architecture patterns and reviews.
• Present risk/benefit tradeoffs to client stakeholders.
• Own architecture governance across the practice; facilitate cross-team reviews.

Skills

Multi-agent architectures

Agent orchestration

Memory architectures

Guardrails governance

ADR and architecture docs

Mentoring teams

Distributed systems

Event-driven architecture

Vector + graph memory

Azure AI Foundry Agent Service

AWS Bedrock Agents

Google Vertex AI Agent Builder

LangGraph / AutoGen / CrewAI

Benchmarking methodologies

Tools

LangGraph

AutoGen

CrewAI

Azure AI Foundry Agent Service

AWS Bedrock Agents

Google Vertex AI Agent Builder

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