AI/ML Engineer

Design and implement 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) architecture 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

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 architecture and AI-driven recommendation systems, 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

Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $120,000 - $140,000 a year

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