AI Architect at ASA Techsol LLC AI Architect at ASA Techsol LLC in Bensenville, Illinois Posted in about 16 hours ago.

Type:

full-time Position Overview We are seeking an experienced AI Architect specializing in Agentic AI and Knowledge Graph technologies. The candidate will be responsible for architecting intelligent enterprise solutions that combine LLMs, AI agents, knowledge graphs, enterprise data, and semantic technologies. The primary focus is hands-on expertise with Agentic AI and Knowledge Graphs. Stardog experience is preferred but is NOT mandatory. Candidates with strong Knowledge Graph experience using other relevant platforms/technologies should be considered. Key Responsibilities Architect enterprise-grade Agentic AI solutions using LLMs and AI agent technologies. Design agent workflows including reasoning, orchestration, tool usage, enterprise system integration, and data retrieval. Architect Knowledge Graph-based solutions for enterprise information discovery and AI applications. Integrate Knowledge Graphs with Generative AI/LLM applications. Design semantic data models, ontologies, entity relationships, and graph-based information architectures. Develop architecture patterns for grounding AI applications using structured and unstructured enterprise knowledge. Design RAG and knowledge retrieval architectures where appropriate. Evaluate AI/LLM frameworks, graph technologies, vector databases, and enterprise AI platforms. Define scalable, secure, and maintainable architecture for production AI systems. Collaborate with application, cloud, data engineering, and business teams. Provide hands-on technical guidance and architecture leadership. Required Skills Strong hands-on experience with Agentic AI. Experience designing or implementing LLM/Generative AI applications. Strong experience with Knowledge Graph technologies. Understanding of semantic modeling, entities, relationships, ontologies, and graph-based data architectures. Experience integrating enterprise data with AI/LLM solutions. Strong solution/enterprise architecture experience. Experience taking AI solutions from prototype/PoC into enterprise implementations. Preferred Skills RAG architectures. Vector databases and semantic/vector search. Graph databases and graph query technologies. AI agent frameworks and orchestration platforms. Enterprise LLM integration. Cloud AI services. Stardog is preferred but not mandatory.