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A leading tech company is seeking a Senior Knowledge Graph Engineer / AI Architect to lead the design of intelligent systems leveraging Knowledge Graphs and AI. This role involves developing scalable solutions and mentoring teams to drive advanced inference and decision support in real-time applications. Strong experience in software engineering and semantic technologies is required.
Job DescriptionJob Description
Job Title: Senior Knowledge Graph Engineer / AI Architect
Location: Remote, USA
Duration: 6 Months with possible extensions or conversion
Role Overview
Lead the design and deployment of intelligent systems using Knowledge Graphs and AI reasoning. You'll architect scalable solutions that combine semantic technologies with AI models to enable advanced inference, decision support, and autonomous agents.
Key Responsibilities
Build and scale Knowledge Graphs (RDF, OWL, SPARQL, Neo4j).
Integrate AI models for reasoning, enrichment, and search.
Develop semantic pipelines (NLP, entity linking, ontology alignment).
Lead technical strategy and mentor teams.
Prototype LLM + graph systems for real-time applications.
Qualifications
7+ years in software/AI engineering; 3+ with Knowledge Graphs.
Strong in semantic tech, graph DBs, hybrid AI, Python/Java.
Experience with LLM tools (LangChain, CrewAI), reasoning engines.
Excellent communication and leadership.
Bonus
MS/PhD, experience with Drools, RDFox, or autonomous agents.
Research or open-source contributions.
California Pay Range$70—$80 USD