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Collaboration Architect

  • Collaboration Architect job type Posted on: Oct 12, 2026
  • Collaboration Architect experience level Openkyber
  • Collaboration Architect employment type Atlanta, Georgia
  • Collaboration Architect employment type Onsite
  • Collaboration Architect salary Full-time

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Job Title :

Collaboration Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: AI Architect Location: Houston, TX (Local Candidates only) Interview Process: Video (2 Rounds) Work Schedule: Onsite Job Description: Experience: 14+ Years Design and develop enterprise AI solutions using LangChain, LangGraph, Agentic AI, and Retrieval-Augmented Generation (RAG) frameworks. Build scalable RAG pipelines that integrate large language models with structured and unstructured enterprise data sources. Develop intelligent AI agents capable of reasoning, planning, tool execution, workflow orchestration, and multi-agent collaboration. Architect and integrate AI services with existing .NET applications, REST APIs, databases, cloud platforms, and enterprise systems . Provide technical leadership to development teams, including architecture guidance, code reviews, design standards, and AI development best practices. Evaluate and optimize large language models, vector databases, embeddings, prompt engineering strategies, response accuracy, performance, security, and cost

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

89939-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: AI Architect Location: Houston, TX (Local Candidates only) Interview Process: Video (2 Rounds) Work Schedule: Onsite Job Description: Experience: 14+ Years Design and develop enterprise AI solutions using LangChain, LangGraph, Agentic AI, and Retrieval-Augmented Generation (RAG) frameworks. Build scalable RAG pipelines that integrate large language models with structured and unstructured enterprise data sources. Develop intelligent AI agents capable of reasoning, planning, tool execution, workflow orchestration, and multi-agent collaboration. Architect and integrate AI services with existing .NET applications, REST APIs, databases, cloud platforms, and enterprise systems . Provide technical leadership to development teams, including architecture guidance, code reviews, design standards, and AI development best practices. Evaluate and optimize large language models, vector databases, embeddings, prompt engineering strategies, response accuracy, performance, security, and cost

For applications and inquiries,

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