Job Title: Senior Knowledge Graph Engineer / AI Architect
Location: Remote, USA
Duration: 6 Months with possible extensions or conversion
Role OverviewLead 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 ResponsibilitiesBuild 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.
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.
MS/PhD, experience with Drools, RDFox, or autonomous agents.
Research or open-source contributions.
Top Skills
What We Do
We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.
