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Agentic AI/ scemantics Architect

Job

Metasoft inc.

Remote

$130,000 Salary, Full-Time

Posted 5 days ago (Updated 1 day ago) • Actively hiring

Expires 7/23/2026

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Job Description

Agentic AI/ scemantics Architect Metasoft inc. - 4.0 Atlanta, GA Job Details Contract $55 - $70 an hour 23 hours ago Qualifications AI models AWS Natural language processing System development Machine learning frameworks
Full Job Description Job Title :
Agentic AI / Semantic Solutions Architect #19572
Location :
Atlanta, Georgia, USA (Hybrid on site)
Experience :
13+
Years Client :
Equifax Indepedent visas:
H4EAD, USC, GC, EAD, TN, L2 EAD
Role Overview 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: o Credit risk analysiso Customer data onboarding workflowsMandatory 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: o 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: o Knowledge graphso Ontologieso Metadata-driven architecturesNice to Have Skills Experience with Google Vertex AI (Agent Builder / Search) Knowledge of GCP Spanner Graph Familiarity with metadata platforms like Collibra or Google Dataplex Experience with vector databases: o Pinecone, Weaviate, pgvector, Vertex AI Vector Search Prior experience in regulated domains such as financial services or legal systems
Pay:
$55.00 - $70.00 per hour
Work Location:
Hybrid remote in Atlanta, GA 30309