Agentic AI/Semantic Solutions Architect

Hybrid in Atlanta, GA, US • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Agentic AI
  • GraphRAG design
  • LLM orchestration
  • Model Context Protocol
  • Google Vertex AI

Summary

Job Title : Agentic AI/Semantic Solutions Architect

Location : Atlanta, GA (Hybrid)

Duration: Long term contract

Job Description:

  • 13+years of experience
  • We are seeking a highly skilled Agentic AI / Semantic Solutions Architect to design and prototype advanced agent-layer architectures that operate on enterprise semantic data platforms. This role sits at the intersection of LLM orchestration, knowledge graphs, and semantic data modeling, focusing on building POC-level intelligent agent solutions rather than production-scale systems.
  • The ideal candidate will have deep expertise in agent-based AI systems, GraphRAG architectures, and context engineering, with the ability to design frameworks where autonomous agents can effectively interpret and reason over structured knowledge.

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 

Nice to Have Skills

  • Experience with Google Vertex AI (Agent Builder / Search)
  • Knowledge of Google Cloud Platform Spanner Graph
  • Familiarity with metadata platforms like Collibra or Google Dataplex
  • Experience with vector databases:
    • Pinecone, Weaviate, pgvector, Vertex AI Vector Search
  • Prior experience in regulated domains such as financial services or legal systems

Thanks & Regards

Saravanan

DMinds Solutions Inc.

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: 10513378
  • Position Id: 19572
  • Posted 2 hours ago
Contact the job poster
SM

saravanan Muthusamy

Recruiter @ Dminds Solutions Inc.
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