AI Agent Architect

Yantran

Chennai District

On-site

INR 1,800,000 - 2,400,000

Full time

6 days ago
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Job summary

Yantran is seeking an AI Agent Architect to design scalable enterprise architectures for autonomous AI agents and multi-agent systems in Chennai, Tamil Nadu. You will define orchestration strategies, architect RAG-enabled pipelines, ensure AI security and governance, and guide development teams through implementation of agentic AI and advanced LLM-based architectures.

You will collaborate with cross-functional teams to integrate APIs, vector databases, LangChain/LangGraph stacks, and cloud AI

Qualifications

  • Experience designing AI architectures for autonomous agents and multi-agent systems.
  • Strong understanding of LLMs and agent orchestration patterns.
  • Knowledge of RAG flows, memory/context design, and security governance.

Responsibilities

  • Design enterprise AI-agent architecture.
  • Define agent orchestration strategies.
  • Architect multi-agent systems.
  • Design tool-calling and API integrations.
  • Define memory and context architectures.
  • Design RAG integration.
  • Establish AI security and governance.
  • Design observability and evaluation frameworks.
  • Lead AI-agent technical strategy.
  • Guide development teams.

Skills

Agentic AI
LLM architecture
Multi-agent systems
RAG
LangChain
APIs
Vector databases
Cloud AI platforms
AI security
Enterprise architecture

Job description

Seeking an AI Agent Architect to design scalable enterprise architectures for autonomous AI agents and multi-agent systems.

Responsibilities:
  • Design enterprise AI-agent architecture.
  • Define agent orchestration strategies.
  • Architect multi-agent systems.
  • Design tool-calling and API integrations.
  • Define memory and context architectures.
  • Design RAG integration.
  • Establish AI security and governance.
  • Design observability and evaluation frameworks.
  • Lead AI-agent technical strategy.
  • Guide development teams.
Required Skills:
  • Agentic AI.
  • LLM architecture.
  • Multi-agent systems.
  • RAG.
  • LangGraph/LangChain or equivalent.
  • APIs.
  • Vector databases.
  • Cloud AI platforms.
  • AI security.
  • Enterprise architecture.
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