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Llm Knowledge Graph Jobs in Massachusetts (NOW HIRING)

Quantiphi

Architect - Data Engineer

Boston, MA · On-site

$140 - $190/hr

Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval.* Database Administration & Governance: Oversee the ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling. Responsibilities: * Design, develop, and deploy Decision Intelligence & AI-enabled products. * Work in ...

Glean

Enterprise Account Executive, Boston

Boston, MA · On-site

$250K - $350K/yr

With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives ... Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content ...

GlaxoSmithKline

Applied AI Engineer

Cambridge, MA · On-site

Hands-on experience building LLM-based applications, agentic AI systems, RAG pipelines, or multi-agent architectures (e.g., LangChain, LangGraph, AutoGen). * Experience with knowledge graph ...

3M HEALTHCARE

Senior AI Application Engineer

Wilmington, MA · On-site

$144 - $198/hr

... LLM pipelines and RAG architectures that power them with ADI's proprietary knowledge, all within a ... Own the Microsoft Graph API and Azure Entra ID integration layer - service principals, OAuth, and ...

Vrtx

Associate Director, Customer Master Lead

Boston, MA · On-site

$41K - $49K/yr

... and AI/LLM-enabled innovation to improve data quality, automation, and semantic enrichment. Key ... Own the customer domain ontology and knowledge graph, including design, development, and ongoing ...

Blitzy

Principal Software Engineer

Cambridge, MA · On-site

$148K - $199K/yr

MongoDB, Cassandra, DynamoDB, or similar. • Experience with graph databases (Neo4j) for modeling ... LLM validation loops (evaluation, feedback, regression testing, and failure analysis). • ...

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Llm Knowledge Graph information

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.

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Principal Presales Consultant - Knowledge Graph

Boston, MA • On-site

Mendix
Software Development • 201 - 500 employees
Learn more about Mendixexternal

$135K - $250K/yr

Full-time

Re-posted 18 days ago

Job description

Mendix is a low-code app development platform:

First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that "by 2024, low-code application development will be responsible for more than 65% of application development activity."
 
Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. 
  
Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. 
 
Mendix is a Siemens Business:
 
Siemens is a Top 10 Global Software Company and a leader on Fast Company's Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens' unbeatable legacy and resources. 
 

Principal Presales Consultant - Digital, Data, Analytics & AI
 
Siemens Digital Industries Software
Siemens is redefining how enterprises turn data into action. By combining Mendix low-code applications with advanced data, analytics, and AI platforms, Siemens enables organizations to move from insights to AI-driven operational impact at scale.
With the 2025 acquisition of Altair Graph Studio, Siemens now offers a Knowledge Graph platform that integrates, models, and reasons over complex data to power Generative AI, Agentic AI, and autonomous systems.
We are seeking a Principal Presales Consultant to help customers navigate enterprise AI transformation, connecting business challenges to Siemens' end-to-end digital, data, and AI capabilities.
 
Your Role
Lead discovery of customer AI/data ecosystems, assess AI/ML maturity, and uncover strategic opportunities
Position Siemens' Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI
Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation
Connect Mendix applications to data and AI foundations for rapid, impactful solutions
Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap
 
What You Bring
Presales, sales engineering, solution architecture, or technical consulting experience
Strong understanding of modern data platforms, analytics, and AI/ML pipelines
Ability to influence executives and guide enterprise-scale AI adoption
Comfort across cloud, data, AI, and application architectures
 
Bonus / Nice-to-Have:
Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics
Exposure to RAG, Agentic AI, or enterprise GenAI deployments
 
Why This Role at Siemens
From Data to Action: Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI
Semantic AI Foundation: Knowledge Graphs ensure trust, context, and explainability for enterprise AI
Industrial & Enterprise Scale: Apply AI in mission-critical environments where reliability matters
Strategic Influence: Guide enterprise AI adoption at the architectural and executive level
 
$135,700 - $250,000 a year
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
 
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
 
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
 
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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