What are the responsibilities and job description for the Semantic Solutions Architect position at Prudent Technologies and Consulting?
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