AI Agent Architect ( Agentic AI Systems)
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Summary
Designs and orchestrates multi-agent AI systems capable of autonomous reasoning, planning, and tool use, integrating agents with enterprise systems (CRM, ERP, data lakes). Core stack: agentic AI frameworks (AutoGen, CrewAI, LangGraph), LLM orchestration, Python/async, and vector stores.
Position - Agentic AI Architect
Experience :7 to 15 years
Role Overview
Seeking an AI Agent Architect to design and orchestrate multi-agent AI systems capable of autonomous reasoning, planning, tool usage, and collaboration.
Key Responsibilities
- Design agentic workflows using planners, memory, and tool calling
- Build multi-agent coordination systems (SupervisorWorker models)
- Define guardrails, evaluation strategies, and fallback mechanisms
- Integrate agents with enterprise systems (CRM, ERP, Data Lakes)
- Ensure scalability, observability, and reliability of agents
Core Skills
- Agentic AI frameworks (AutoGen, CrewAI, LangGraph)
- LLM orchestration and prompt chaining
- State management, long-term memory, vector stores
- Python, async systems
- System design & architecture