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Knowledge Graph Jobs in New York (NOW HIRING)

Pearson

Lead Specialist, AI Scientist

Hoboken, NJ · On-site

The successful candidate will lead the development of machine learning, Generative AI, LLM, agentic AI, and knowledge graph solutions, taking them from concept and experimentation through production ...

Jj

Principal Data Scientist - Oncology

Raritan, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Be a key contributor to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability, focusing on Oncology R&D data. * Apply graph ...

Middesk

Lead Data Scientist

New York, NY · On-site

$210K - $250K/yr

Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases. What We're Looking For ...

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation ...

Catapult Sports

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will own the infrastructure every AI agent reasons over: the data architecture, the feature store, the sport knowledge graph, and the evaluation framework that makes every recommendation ...

Cisco

Applied AI Scientist

Stamford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Glean

Enterprise Account Executive, NYC

New York, NY · On-site

$250K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This ...

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Knowledge Graph information

See New York salary details

$10

$33

$130

How much do knowledge graph jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for knowledge graph in New York is $33.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $28.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the knowledge graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What is a knowledge graph?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a knowledge graph engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in New York?

The most popular types of Knowledge Graph jobs in New York are:

What are popular job titles related to Knowledge Graph jobs in New York?

For Knowledge Graph jobs in New York, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph jobs in New York look for?

The top searched job categories for Knowledge Graph jobs in New York are:

Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in New York as of August 2026, with employment types broken down into 22% Full Time, and 78% Contract. Highlights an 100% In-person job distribution, with an average salary of $70,620 per year, or $34 per hour.

Python Fullstack AI Engineer

SUNRAY INFORMATICS

Jersey City, NJ • On-site

Other

Re-posted 9 days ago

Job description

Hi Professionals,

We have an immediate openings for the below role, If interested please apply.

Job Title:Python Fullstack AI Engineer

Type : Fulltime / W2 Onsite
Interview: Telephonic & MS Teams
JOB RESPONSIBILITIES

OVERALL EXPERIENCE

We are unable to sponsor the Visa

OVERALL EXPERIENCE 9YRS+

Python Full Stack AI Engineer to work on the DIVA (Digital Intelligence Virtual Assistant) platform an enterprise-grade AI system designed to provide intelligent, context-aware insights across applications, data, and platforms.

DIVA enables users to explore system capabilities, data lineage, dependencies, and cloud migration impacts through a conversational AI interface powered by knowledge graphs and AI agents.

Key Responsibilities

  • Build AI-powered backend services using Python (FastAPI/Flask)
  • Develop and integrate LLM-based solutions using frameworks like LangChain or LlamaIndex
  • Design and implement RAG / GraphRAG pipelines
  • Work with knowledge graphs (e.g., Neo4j) to enable semantic querying and reasoning - Knowledge graph/ontology + MCP servers.
  • Develop AI agents for multi-step reasoning and orchestration
  • Build scalable REST/GraphQL APIs
  • Create intuitive front-end interfaces using React for:
  • Chat-based AI interaction
  • Graph and lineage visualization
  • Collaborate with data engineers and architects to model enterprise ontology and metadata.

Required Skills

  • Strong Python backend development experience
  • Hands-on experience with Generative AI / LLMs
  • Experience with RAG pipelines
  • Knowledge of graph databases / knowledge graphs
  • Frontend experience with React
  • Understanding of APIs, microservices, and distributed systems
  • Experience with MCP servers / MCP orchestration experience

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc

(Direct) | (E) Desk: EXT 253

Sunray Informatics Inc | 77 Milltown Road Suite C1, East Brunswick, NJ 08816 Web:

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