AI Agents Architect

Main mission

Designs autonomous systems that reason, plan, and execute.

5 key responsibilities

  • Design the architecture of agents: reasoning, memory, tools, orchestration.
  • Define guardrails: permissions, action limits, human checkpoints.
  • Integrate agents into existing enterprise systems (API, data, tools).
  • Evaluate agent reliability on complex and lengthy tasks.
  • Industrialize reusable agent patterns for multiple use cases.

Key skills

LangChain, LlamaIndex, RAG systems, orchestration layers, memory hierarchies, guardrail design.

What's expected

Useful AND controllable agents. Value is measured by reliability on real tasks, not technical sophistication.

Career paths

Lead Agents, AI Solutions Architect, AI-focused CTO. A rapidly growing field.

Openings right now

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