AI/ML Engineer

Location:

Lebanon, NJ Salary:

$145,000.00 USD Annually - $155,000.00

USD Annually Description:

Knowledge Graph & AI Engineer Overview We are seeking an experienced Knowledge Graph & AI Engineer with deep expertise in graph technologies, ontology design, and modern AI integration. This role focuses on building scalable knowledge graph architectures, developing graph queries, integrating structured and semi-structured data, and enabling AI-driven insights through RAG and LLM-powered applications. The ideal candidate has experience in data engineering, AI engineering, graph data modeling, and deploying machine learning solutions in cloud environments. Responsibilities Design and implement knowledge graph architectures using property graph 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 and related use cases. Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) patterns. Build APIs and backend services to deliver AI-driven prospecting and recommendation insights. Implement scoring models, relationship strength analytics, and graph traversal logic. Ensure scalability, security, and performance across enterprise systems. Partner with sales, business, and engineering teams to translate requirements into technical solutions. Required Qualifications 5+ years of experience in data engineering, AI engineering, or knowledge graph development. Hands-on experience with graph technologies, including property graph and/or RDF frameworks. Proficiency with Cypher and/or SPARQL. Strong data modeling and ontology design skills. Experience integrating data from relational databases and external sources. Strong Python development experience. Experience integrating LLMs into enterprise applications. Familiarity with Retrieval-Augmented Generation (RAG) architectures and AI-driven recommendation systems. Experience with Amazon SageMaker, AWS Machine Learning tools, ML pipelines, MLOps, CI/CD, model deployment, and inference endpoints. Experience with Docker, Kubernetes, and EKS. Industry experience in insurance, claims, underwriting, or fraud detection. 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 experience with AWS, Azure, or Google Cloud Platform. Experience working in financial services or insurance environments. Success Criteria Deliver a scalable knowledge graph and AI solution that improves sales prospect identification and relationship insights. Demonstrate measurable increases in targeting precision and cross-sell opportunity discovery. Establish reusable architectural patterns to support enterprise AI-driven sales initiatives. By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

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