Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering
Core
Define and drive enterprise architecture for Agentic AI, Knowledge Engineering, and AI-powered decision systems across AWS, GCP, and on-prem environments.
Role type
Staff/Principal Agentic AI Architect (Knowledge Engineering)
Builds
Scalable multi-agent architectures, enterprise knowledge fabrics, ontologies, taxonomies, metadata models, and knowledge graphs for engineering and manufacturing use cases.
Domain
Enterprise AI, Knowledge Engineering, Manufacturing
Deliverable
production ML models
Required skills
Agentic AI architecture, Knowledge Engineering, Ontology design, RAG & GraphRAG, Semantic search, MCP-based connectivity, Graph technologies (Neo4j, RDF/OWL), Vector databases, AI orchestration frameworks (LangChain, LlamaIndex), Cloud architecture (AWS, GCP), Python
Preferred skills
Claude ecosystem expertise, A2A collaboration patterns, Entity resolution, Document intelligence, AI governance
Technologies
AWS AgentCore, GCP, Neo4j, AWS Neptune, Pinecone, ChromaDB, Weaviate, Milvus, Qdrant, FAISS, LangChain, LlamaIndex, LangGraph, Python, JIRA, Confluence, SharePoint, Bitbucket
