AI Solution Architect - Agentic AI

iSystems Ltd; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

iSystems Ltd is seeking an accomplished software/AI architect to lead the design of agentic, multi-agent workflows, memory architectures, and tool-use governance.

You will own architecture reviews, mentor engineers, ensure safety rails, and collaborate with Security, Governance, and Platform Engineering to deliver reliable agentic systems.

Qualifications

• 10–15+ years in software/AI architecture.
• At least 2+ years in agentic/multi-agent systems.
• Deep knowledge of agent orchestration frameworks and failure modes.
• Experience evaluating and architecting managed agentic platforms (Azure/AWS/Vertex).
• Strong systems-design fundamentals: distributed systems, state machines, event-driven architecture.

Responsibilities

• Design multi-agent architectures and coordination patterns.
• Own memory/state management and knowledge graphs for reasoning.
• Define guardrails: tool-use permissioning, kill switches, escalation paths.
• Architect evaluation framework for agentic systems with AI Assurance/QA.
• Lead technical design reviews and governance across agentic builds.
• Mentor GenAI engineers and review their designs.
• Present agentic system risk/benefit tradeoffs to clients.

Skills

AI Architecture

Multi-agent

Orchestration

Distributed Systems

Memory Architecture

ADR Documentation

Tools

Azure AI Foundry

AWS Bedrock

Vertex AI

LangGraph

AutoGen

CrewAI

Job description

Architects’ multi-agent and agentic workflow systems — the orchestration layer, memory design, and tool-use permissiosning 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