ZipRecruiter

Log In

1

Llm Knowledge Graph Jobs (NOW HIRING)

Accenture

Senior Knowledge Engineer

Dallas, TX · On-site

$103K - $142K/yr

You Are You are a Knowledge Architect at the intersection of semantic AI and agentic systems ... Graph traversal, reasoning, inference, entity resolution, and enrichment Agentic AI & LLM ...

Long Finch Technologies

Senior Graph Developer

Morton Grove, IL · Hybrid

$54.25 - $71.75/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

IL · Hybrid

$53 - $70.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Palatine, IL · Hybrid

$54.75 - $72.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Oak Park, IL · Hybrid

$53.75 - $71/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Villa Park, IL · Hybrid

$53.75 - $71/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Lincolnwood, IL · Hybrid

$54.25 - $71.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Bellwood, IL · Hybrid

$53.50 - $70.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Glencoe, IL · Hybrid

$56.75 - $75/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Norridge, IL · Hybrid

$54.25 - $71.75/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

La Grange, IL · Hybrid

$53.25 - $70.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Lombard, IL · Hybrid

$53.75 - $70.75/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

IL · Hybrid

$55.50 - $73.50/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

previous pagenext page

Showing results 21-40

All JobsLlm Knowledge Graph Jobs

Llm Knowledge Graph information

See salary details

$41K

$63.3K

$95.5K

How much do llm knowledge graph jobs pay per year?

As of Sep 4, 2026, the average yearly pay for llm knowledge graph in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What is the difference between Llm Knowledge Graph vs Data Scientist?

AspectLlm Knowledge GraphData Scientist
Required CredentialsKnowledge of NLP, graph databases, machine learningStatistics, programming, data analysis
Work EnvironmentResearch labs, AI companies, tech firmsCorporate, consulting, research institutions
Industry UsageAI, knowledge management, semantic webBusiness analytics, predictive modeling

While both roles involve data and machine learning, Llm Knowledge Graph specialists focus on building interconnected knowledge bases using NLP and graph technologies, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in AI projects but serve different core functions within organizations.

More about Llm Knowledge Graph jobs

What cities are hiring for Llm Knowledge Graph jobs?

Cities with the most Llm Knowledge Graph job openings:

What states have the most Llm Knowledge Graph jobs?

States with the most job openings for Llm Knowledge Graph jobs include:

What job categories do people searching Llm Knowledge Graph jobs look for?

The top searched job categories for Llm Knowledge Graph jobs are:

Llm Knowledge Graph jobs near you
Infographic showing various Llm Knowledge Graph job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Lead Engineer - GenAI, Agentic AI, and Knowledge Graph Architect

ExlService Holdings, Inc.

New York, NY • On-site

$100K - $160K/yr

Full-time

Re-posted 10 days ago

Key responsibilities

  • Design, develop, and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.

  • Lead the architecture and implementation of agentic AI platforms, including multi-agent orchestration, tool use, planning, reflection, and human-in-the-loop workflows.

  • Deploy and maintain scalable AI solutions in production, ensuring reliability, scalability, and security.

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 500 rated business services

Job description


We are seeking a Lead Engineer - GenAI, Agentic AI, and Knowledge Graph Architect to design, develop, and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.
The ideal candidate will bring strong expertise in Python, LLM-based systems, agentic frameworks, and knowledge-centric AI, with hands-on experience delivering production-grade GenAI or agentic solutions grounded using Knowledge Graphs.
As part of EXL's Digital AI R&D Innovation team, you will lead the architecture and implementation of agentic, reasoning-driven AI platforms, mentor engineers, shape technical strategy, and enable scalable AI solutions across multiple enterprise domains.
Responsibilities
  • Architect and implement neuro-symbolic AI solutions that combine:
    • Large Language Models and multimodal foundation models
    • Symbolic reasoning, business rules, constraints, and policy engines
    • Knowledge graphs and ontologies for grounding, reasoning, governance, and explainability
  • Design and implement enterprise knowledge graph architectures using appropriate graph paradigms and technologies, including:
    • Property graphs and labeled property graph models
    • RDF, RDFS, OWL, SHACL, and semantic knowledge graphs
    • Graph databases and platforms such as Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph, JanusGraph, ArangoDB, or equivalent technologies
  • Design graph data models, schemas, ontologies, taxonomies, and canonical domain models aligned with enterprise use cases and data-governance requirements.
  • Develop and optimize graph queries and traversal patterns using technologies such as:
    • Cypher, SPARQL, Gremlin, GraphQL, or vendor-specific graph query languages
    • Graph indexing, partitioning, caching, and performance-optimization strategies
  • Lead the design and implementation of agentic AI systems, including:
    • Multi-agent orchestration
    • Tool use and function calling
    • Planning, reflection, routing, and task decomposition
    • Human-in-the-loop workflows
    • Agent memory and persistent state
    • Failure recovery, observability, evaluation, and governance
  • Architect and deploy scalable APIs (REST/WebSocket) for AI and agent workflows.
  • Deploy and maintain multiple GenAI / Agentic AI solutions in production, ensuring reliability, scalability, and security.
  • Integrate SQL, No-SQL, vector, and graph databases (Postgres, MongoDB, Neo4j, ChromaDB, etc.).
  • Provide technical leadership and mentorship to AI and platform engineers.
  • Collaborate with cross-functional teams to deliver AI solutions across banking, insurance, and healthcare domains.
  • Ensure governance, compliance, observability, and robustness of AI systems.
  • Stay current with advancements in Generative AI, agentic systems, symbolic reasoning, and knowledge-centric AI.
  • Document system designs and present solutions to both technical and non-technical stakeholders.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or related field.
  • 5+ years of overall professional experience in AI/ML, Data Science, or advanced software engineering.
  • 5+ years of strong hands-on experience in Python, with solid software engineering best practices.
  • 3+ years of experience building Generative AI or Agentic AI systems, including production deployments.
  • Hands-on experience with LLMs, prompt engineering, and model integration.
  • Practical experience with Knowledge Graph design and implementation.
  • Deep understanding of knowledge graphs, graph data modeling, graph algorithms, and semantic technologies.
  • Proficiency in one or more graph query languages such as Cypher, SPARQL, or Gremlin.
  • Experienced with Semantic Web technologies and standards, including RDF (Resource Description Framework), OWL (Web Ontology Language), SPARQL, ontology modeling, reasoning engines, and graph-based knowledge representation for enterprise AI applications.
  • Proven experience deploying production-grade AI systems with scalability and reliability considerations.
  • Solid understanding of data pipelines, ETL, and data modeling.

Preferred Qualifications
  • Experience with LangGraph, AutoGen, LangChain, or similar agent orchestration frameworks.
  • Experience designing multi-agent systems and long-horizon reasoning workflows.
  • Knowledge of neuro-symbolic AI concepts, logic-based reasoning, or rule-based systems.
  • Experience with Graph Data Science (GDS) or graph-based inference techniques.
  • Familiarity with MLOps practices (CI/CD, monitoring, experimentation, retraining).
  • Experience working in regulated or enterprise environments.
  • Contributions to open-source projects, internal AI platforms, or applied AI research.
  • Strong problem-solving skills and ability to thrive in fast-paced R&D environments.

The typical base pay range for this role across the U.S. is USD $100,000 - $160,000 per year.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale.
Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.
The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply