AI Solution Architect - Agentic AI

iSystems Ltd; Lahore; On-site; PKR 4,000,000 - 8,000,000; Full time

Job summary

iSystems Ltd. seeks a senior AI/Software Architect to design and govern agentic, multi-agent workflows. You will lead architecture decisions, memory architectures, and tool-use governance for reliable autonomous systems. The role requires mentoring engineers and presenting tradeoffs to clients.

You will collaborate with Security, Governance, and Platform Engineering to ensure safe, scalable agent-based solutions across client engagements.

Qualifications

• 10-15+ yrs software/AI architecture experience with 2+ yrs in agentic/multi-agent systems.
• Deep knowledge of agent orchestration frameworks and failure modes (loops, deadlocks, drift).
• Experience designing memory architectures for long-running agents.
• Writes clear ADRs and architecture documentation for engineers and executives.
• Experience mentoring/leading a technical team and owning architecture decisions.

Responsibilities

• Design multi-agent architectures and handoff logic (LangGraph, AutoGen, CrewAI).
• Own agentic workflow design: memory/state management and knowledge graphs.
• Define guardrails: tool-use permissioning, kill switches, escalation paths.
• Architect evaluation framework for agentic systems with QA.
• Lead technical design reviews before build.
• Design fallback and human-in-the-loop patterns for high-stakes decisions.
• Mentor GenAI Engineers on architecture patterns.
• Present tradeoffs to client stakeholders.
• Own architecture governance across the practice.
• Facilitate cross-team design reviews with Security and Platform Engineering

Skills

Agentic systems

Multi-agent architectures

Distributed systems

Memory architectures

ADR documentation

Team mentoring

Guardrails tooling

Architectural reviews

Client presentations

Tools

Azure AI Foundry Agent Service

AWS Bedrock Agents

Vertex AI Agent Builder

LangGraph

AutoGen

CrewAI

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