Artificial Intelligence (AI), Business Case, Credit Analysis, Credit Risk, Customer/Client Research, Injections, MCP - Microsoft Certified Professional, Metadata, Natural Language Processing (NLP), Onboarding, Ontology, Prototyping, Risk Analysis, Shallow Parsing, Use Cases, Vector Based
Job Title: Agentic AI / Semantic Solutions Architect
Job Location: Atlanta, Georgia, USA
Job Type: Contract
Job Description:
- 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