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# AI Research Engineer - Knowledge Graphs & Multi-Agent Systems

- **Company:** Insight Global
- **Location:** Schenectady, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Graph Database, Python (Programming Language), Neo4j, Cyber-physical Systems, Systems Integration, Unstructured Data, Software Repository, Multi-Agent Systems, Generative AI, Fastapi, Knowledge Representation, Information Technology, Process Control Systems, Data Analytics
- **Published:** October 9, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3426262359&tx=KK3333FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Master's degree with 2+ years of relevant experience OR PhD in Computer Science, Electrical Engineering, Mathematics, AI, Knowledge Representation, Reasoning, or related field
 * Expertise building Knowledge Graphs from structured and unstructured data
 * Experience integrating graph-based reasoning with Generative AI
 * Proven experience designing and deploying multi-agent workflows
 * Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or equivalent
 * Advanced Python development skills, including writing, debugging, and maintaining production-quality code
 * Willingness to travel at least 2 weeks per year
 * Experience working with multimodal data (text, imagery, time-series data, code repositories)
 * Knowledge of cyber-physical systems
 * Understanding of industrial control systems (ICS)
 * Strong technical communication and presentation skills
 * Experience leading or contributing to advanced research initiatives
 * Background in industrial AI, energy, or infrastructure environments

## Description

Insight Global is seeking an AI Research Engineer - Knowledge Graphs & Multi-Agent Systems for a leading energy technology and research organization. This candidate will help advance next-generation AI capabilities by developing knowledge graph solutions, graph-based reasoning systems, and multi-agent architectures that support complex decision-making across industrial environments. The ideal candidate will have deep expertise in knowledge representation, generative AI, graph databases, and Python development. This role offers the opportunity to work on cutting-edge research initiatives, transforming advanced AI concepts into real-world solutions for critical energy and cyber-physical systems while collaborating with multidisciplinary teams of researchers and engineers. Day-to-Day: * Design and implement Knowledge Graph pipelines using industrial structured and unstructured data * Develop AI architectures that combine graph reasoning and generative AI capabilities * Build and
orchestrate multi-agent systems for complex decision-making workflows * Architect and manage graph database environments * Develop scalable, reusable, research-grade Python applications * Extract and synthesize information from heterogeneous data sources * Collaborate with cross-functional research and engineering teams * Transform advanced research concepts into industrial prototypes and production-ready solutions * Support AI-driven insights and reasoning for energy and cyber-physical systems