AI Solution Architect - Agentic AI

Systems Limited; Karachi Division; On-site; PKR 2,500,000 - 4,200,000; Full time

Job summary

Systems Limited is seeking an experienced software/AI architect focused on agentic, multi-agent systems. You will define architectures, governance, and memory designs for long-running agents, coordinating with security, governance, and platform teams.

You will mentor engineers, defend decisions under client scrutiny, and drive ADRs and documentation to ensure clear, actionable designs across the organization.

Qualifications

• 10-15+ years in software/AI architecture with focus on agentic systems.
• 2+ years in agentic/multi-agent systems.
• Deep knowledge of agent orchestration frameworks and failure modes.
• Experience designing memory architectures for long-running agents.
• Familiarity with agent evaluation methodologies and benchmarking.
• Working knowledge of guardrail/governance tooling for agentic systems.
• Ability to defend architecture decisions under adversarial client scrutiny.
• Writes clear ADRs and architecture documentation readable by engineers and executives.
• Experience mentoring/leading a technical team.

Responsibilities

• Design multi-agent architectures—roles, coordination patterns, handoffs.
• Own agentic workflow design: task decomposition, tool-calling, memory/state management.
• Define guardrails: tool-use permissions, kill switches, escalation paths.
• Architect the evaluation framework for agentic systems with QA/AI Assurance.
• Lead technical design reviews for agent-based solutions before builds.
• 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 technical and business stakeholders.
• Own architecture governance across the practice.
• Facilitate cross-team design reviews with Security, Governance, and Platform Engineering.

Skills

Agent architectures

Multi-agent systems

Distributed systems

Memory architectures

ADR writing

Mentoring/leading teams

Architecture governance

Defence of decisions

Tools

Azure AI Foundry Agent Service

AWS Bedrock Agents

Vertex AI Agent Builder

LangGraph

AutoGen

CrewAI

Job description

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 permission, 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