Senior AI / Knowledge Graph Engineer

Job Title: Senior AI / Knowledge Graph Engineer – Sales Intelligence Location: New York, NY, (Hybrid) Duration: 6-12 Months Role Overview We are seeking a senior-level engineer to design and implement a production-grade Knowledge Graph and LLM-enabled architecture to power a next-generation sales prospecting and relationship intelligence platform. This role will focus on modeling complex entity relationships (agents, clients, products, referrals, external signals, etc.) and integrating graph-based insights with AI-driven recommendations to improve targeting, cross-sell identification, and relationship mapping. Key Responsibilities • Design and implement a knowledge graph architecture using property graph and/or RDF-based models • Transform and integrate structured and semi-structured data into optimized graph structures • Develop and query graph systems using Cypher and/or SPARQL • Design ontologies and entity relationship models to support sales intelligence use cases • Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) architectures • Build APIs and application services to deliver AI-driven prospecting insights • Implement scoring, relationship strength analysis, and network traversal logic • Ensure scalability, security, and enterprise-grade performance • Partner with sales and business stakeholders to translate requirements into technical solutions Required Qualifications • 5+ years in data engineering, AI engineering, or knowledge graph development • Hands-on experience with knowledge graph technologies (property graph and/or RDF frameworks) • Experience with Cypher and/or SPARQL • Strong data modeling and ontology design skills • Experience integrating relational databases and external data sources • Strong Python development skills • Experience integrating LLMs into enterprise applications • Familiarity with RAG architectures and AI-driven recommendation systems Preferred Qualifications • Experience building sales intelligence or CRM-adjacent platforms • Knowledge of embeddings, semantic search, and vector databases • Experience designing relationship scoring or network analytics models • Cloud platform experience (AWS, Azure, or GCP) • Experience in financial services or insurance environments Success Criteria • Deliver a scalable knowledge graph + AI solution that enhances sales prospect identification and relationship insights • Enable measurable improvements in targeting precision and cross-sell opportunity identification Establish a reusable architecture pattern for enterprise AI-driven sales initiatives “We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.”