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IW

AI Architect (Agentic AI)

Info Way Solutions LLC
Location not stated
Staff / Principal
6 months ago
  • AI
  • LangChain
  • AutoGen
  • CrewAI
  • RAG
  • AI/ML
  • GPT
  • Claude
  • Python
  • Microservices
  • AWS
  • Azure
  • GCP
  • MLOps
  • Airflow
  • Step Functions
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Job Title: AI Architect (Agentic AI)

Location:Remote

Experience:6–12 Years


Job Summary

We are seeking a highly skilledAI Architect with expertise in Agentic AI to design and lead the development of intelligent, autonomous systems. The ideal candidate will architectmulti-agent AI solutions, enabling systems to reason, plan, and execute complex tasks with minimal human intervention.


Key Responsibilities

  • Architect and designAgentic AI systems including multi-agent workflows and autonomous decision-making systems
  • Build and deployAI agents capable of planning, reasoning, and tool usage
  • Designend-to-end AI architectures leveraging LLMs, orchestration frameworks, and APIs
  • Developagent frameworks using tools like LangChain, AutoGen, CrewAI, or similar
  • Implementmemory, planning, and tool-calling capabilities in AI agents
  • Build and optimizeRAG (Retrieval-Augmented Generation) pipelines for contextual intelligence
  • Ensurescalability, reliability, and security of AI systems
  • Collaborate with data scientists, engineers, and business teams to define AI solutions
  • EstablishAI governance, observability, and monitoring for agent systems
  • Mentor teams and drive innovation in AI architecture

Required Skills

  • Strong experience inAI/ML system architecture and design
  • Hands-on expertise inAgentic AI / Autonomous AI systems
  • Experience withLLMs (GPT, Llama, Claude, etc.)
  • Proficiency inPython and AI frameworks
  • Experience withagent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Strong understanding ofRAG, embeddings, and vector databases
  • Experience withAPI integrations and microservices architecture
  • Knowledge ofcloud platforms (AWS, Azure, or GCP)

Preferred Qualifications

  • Experience designingmulti-agent orchestration systems
  • Knowledge ofLLMOps / MLOps tools
  • Exposure toevent-driven architectures and workflow orchestration (Airflow, Step Functions)
  • Experience withreal-time AI systems and streaming data
  • Understanding ofAI safety, guardrails, and ethical AI practices

AI Architect (Agentic AI) · Info Way Solutions LLC

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