Job Description
ABOUT: 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. - Solid 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

📌 AI Solution Architect (Mumbai)
🏢 Systems
📍 Mumbai