Semantic Solutions Architect

Hybrid in Atlanta, GA, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • agentic AI
  • metadata
  • GraphRAG
  • LLM
  • LangChain
  • LangGraph

Summary

Job Title : Agentic AI / Semantic Solutions Architect
Location : Atlanta, Georgia, USA (Hybrid)
Duration : 12 Months
Key Responsibilities

  • Architect and design agentic AI workflows that consume outputs from semantic layers, including knowledge graphs, ontologies, and metadata catalogs

  • Develop and prototype GraphRAG pipelines that combine graph traversal with vector-based retrieval for accurate, domain-grounded responses

  • Define and implement context engineering strategies, including metadata injection, chunking, and semantic optimization for LLM prompts

  • Design and build Model Context Protocol (MCP) server patterns to enable seamless interaction between agents and semantic data systems

  • Develop LLM orchestration workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or AutoGen

  • Build pipelines for automated metadata extraction and semantic tagging using NLP and LLM-based approaches

  • Collaborate with Semantic Data Architects to ensure ontologies and graph structures are optimized for agent traversal and querying

  • Prototype agent-based solutions for business use cases such as:

    • Credit risk analysis

    • Customer data onboarding workflows

Mandatory Skills

  • Strong expertise in Agentic AI architecture (multi-agent systems, tool usage, planning loops)

  • Hands-on experience with GraphRAG design (hybrid graph + vector retrieval systems)

  • Experience in LLM orchestration frameworks:

    • LangChain, LangGraph, LlamaIndex, or AutoGen

  • Deep understanding of context engineering techniques (chunking, windowing, semantic compression)

  • Experience designing and integrating Model Context Protocol (MCP)

  • Strong knowledge of semantic systems such as:

    • Knowledge graphs

    • Ontologies

    • Metadata-driven architectures

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: prutx001
  • Position Id: 8990375
  • Posted 5 hours ago
Contact the job poster
RK

Rakesh Kandagatla

Recruiter @ Prudent Technologies and Consulting
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