Agentic AI / Semantic Solutions Architect

Job Title: Agentic AI / Semantic Solutions Architect
Location: Atlanta, GA (Hybrid)
Duration: Long Term Contract

Job Summary

We are seeking an experienced Agentic AI / Semantic Solutions Architect to design and develop AI-powered solutions leveraging Large Language Models (LLMs), Knowledge Graphs, Semantic Technologies, and GraphRAG architectures. The ideal candidate will have strong experience building AI agents, semantic search solutions, metadata-driven systems, and enterprise AI applications using modern AI frameworks and cloud technologies.

Responsibilities

• Design and implement Agentic AI and multi-agent architectures for enterprise applications.
• Develop GraphRAG solutions combining vector search and knowledge graph retrieval.
• Build AI workflows using LangChain, LangGraph, LlamaIndex, AutoGen, or similar frameworks.
• Design semantic data models, ontologies, metadata frameworks, and knowledge graphs.
• Develop prompt engineering and context management strategies for LLM applications.
• Integrate AI solutions with enterprise data platforms and APIs.
• Build and optimize vector search and semantic retrieval systems.
• Collaborate with business and technical teams to deliver AI-driven solutions.
• Create proof-of-concepts and scalable AI architectures.
• Ensure AI solutions follow security, governance, and best practices.

Required Skills

• 10+ years of overall IT experience.
• Strong experience with Agentic AI, Generative AI, and Large Language Models (LLMs).
• Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, or similar AI frameworks.
• Experience with Retrieval-Augmented Generation (RAG) and GraphRAG architectures.
• Strong understanding of Knowledge Graphs, Ontologies, Semantic Modeling, and Metadata Management.
• Experience with Prompt Engineering and Context Engineering.
• Knowledge of Model Context Protocol (MCP).
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, pgvector, or Vertex AI Vector Search.
• Programming experience in Python.
• Experience with REST APIs, microservices, and cloud platforms.
• Strong understanding of NLP, Machine Learning, and AI solution architecture.
• Experience with Git, CI/CD, and Agile methodologies.

Preferred Skills

• Experience with Google Cloud Platform (Google Cloud Platform) and Vertex AI.
• Knowledge of Spanner Graph, Dataplex, or Collibra.
• Experience with Neo4j, RDF, SPARQL, Graph Databases, and Semantic Web technologies.
• Experience in Financial Services, Banking, Insurance, or regulated industries.
• Knowledge of AI governance, security, and compliance frameworks.