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Llm Knowledge Graph Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Software Engineer

Experience with Graph + AI patterns (e.g., GraphRAG, LLM + Knowledge Graph integration) * Exposure to Salesforce ecosystem (APIs, Data Cloud, or platform integrations) * Experience with ontology ...

Mendix

Principal Presales Consultant - Knowledge Graph

$135K - $270K/yr

... enhance LLM accuracy, reduce hallucinations, and enable intelligent automation Connect Mendix ... Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics Exposure to RAG ...

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Llm Knowledge Graph information

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$63.3K

$95.5K

How much do llm knowledge graph jobs pay per year?

As of Jun 27, 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:
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Llm Knowledge Graph jobs near you
Infographic showing various Llm Knowledge Graph job openings in the United States as of June 2026, with employment types broken down into 5% Full Time, 90% Part Time, and 5% Temporary. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Senior TPM Knowledge Graphs & Ontology

Relanto, Inc.

San Francisco, CA • On-site

Other

Posted 18 days ago

Job description

Role: Senior TPM – Knowledge Graphs & Ontology

Duration: 6+ months

Location: SFO, CA or Dallas, TX (hybrid)
About the Role
Unified Knowledge Services is building the intelligent graph layer that powers Salesforce''s AI-driven agents, sellers, and enterprise decision-making. As a Senior TPM embedded in the Knowledge Graphs and Ontology team, you will drive end-to-end program execution for one of the highest-impact, most technically complex areas in the organization.
What You''ll Manage

·        Base Graph – unified enterprise foundation: core entities, attributes, and relationships forming the base ontology

·        Help Agent Domain/Projection Graph – graphRAG capabilities for the Help Agent, multi-hop queries and multi-source blending

·        Website Graph – grounds website-facing agents with structured data to support pipeline generation

·        Revenue Excellence Graph Support – semantic router endpoint and pre-cached query templates for the retrieval layer

·        Backlog programs – monitor and support progression toward readiness


Requirements:

·        8+ years of TPM experience in enterprise software or AI/data platform environments

·        Demonstrated experience managing Knowledge Graph, semantic systems, or AI/ML platform programs at scale

·        Deep understanding of graph data concepts — ontology design, entity relationships, domain projection graphs, and GraphRAG patterns

·        Experience coordinating programs with cross-functional platform dependencies (e.g., prod enablement, data pipelines, API readiness)

·        Strong understanding of LLM-integrated architectures — RAG pipelines, agentic frameworks, vector databases, and semantic routing

·        Proficiency with Agile/SAFe methodologies; ability to run sprint ceremonies, manage backlogs, and coordinate across distributed teams

·        Exceptional ability to influence without authority in a matrixed, fast-moving organization

·        Outstanding written and verbal communication — able to turn technical complexity into crisp executive narratives

·        Bachelor''s degree or equivalent; PMP or CSM a plus


Nice to Have:

·        Familiarity with the Salesforce ecosystem (enterprise data platforms, APIs, CRM integrations)

·        Experience with Model Context Protocol (MCP) and semantic routing architectures

·        Hands-on exposure to GraphRAG, LLM + Knowledge Graph integration patterns

·        Prior experience managing distributed or offshore engineering teams

·        Experience delivering in a product showcase or demo-driven environment

Apply