AI Architect

ASA Techsol LLC; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

ASA Techsol LLC seeks an AI Architect specializing in Agentic AI and Knowledge Graphs to lead enterprise-grade AI solutions in Chicago, IL. You will blend LLMs, AI agents, and semantic graph tech to deliver scalable enterprise AI.

Responsibilities include designing agent workflows, semantic models, and data integration patterns, while guiding hands-on implementation and providing technical leadership across teams.

Qualifications

• Proven hands-on experience with Agentic AI and Knowledge Graphs.
• Experience taking AI/LLM solutions from PoC to enterprise production.
• Knowledge of semantic modeling, entities, relationships, and graph data architectures.

Responsibilities

• Architect enterprise-grade Agentic AI solutions using LLMs and AI agents.
• Design agent workflows including reasoning, orchestration, tooling, and data retrieval.
• Architect Knowledge Graph-based solutions for enterprise information discovery and AI apps.
• Integrate Knowledge Graphs with Generative AI/LLM applications.
• Design semantic data models, ontologies, entity relationships, and graph architectures.
• Develop architecture patterns for grounding AI 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.

Skills

Agentic AI

Knowledge Graphs

Semantic modeling

Ontologies

Data integration

PoC to prod

Job description

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.
• 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.
• Experience taking AI solutions from prototype/PoC into enterprise implementations.

Preferred Skills

• Vector databases and semantic/vector search.
• Graph databases and graph query technologies.
• AI agent frameworks and orchestration platforms.