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Llm Knowledge Graph Jobs in Reston, VA (NOW HIRING)

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

Mission Architect

Arlington, VA · On-site

$137K - $240K/yr

You have worked with AI/ML-powered products, including agentic systems, LLM-based workflows, or knowledge graph applications. * You have experience in evaluation design, operational test and ...

Knowledge of neo4j graph database technologies, cypher query language * Systems engineering support for AI/ML, LLM development projects * Programming experience in Java, Python, and JavaScript

Senior UI Developer

Mclean, VA · Remote

$61.50 - $79.50/hr

... graph visualization libraries (Cytoscape.js, D3.js, etc.) * Working knowledge of agent ... Understanding of LLM-based agent architectures and capabilities * Experience with real-time data ...

Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs. * Strong skills ... graph models, etc.) Preferred Qualifications * Hands on experience building models with deep ...

Build, test, and deploy LLM-powered applications and workflows * Integrate Generative AI ... Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud ...

Build, test, and deploy LLM-powered applications and workflows * Integrate Generative AI ... Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud ...

Build, test, and deploy LLM-powered applications and workflows * Integrate Generative AI ... Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud ...

Showing results 21-40

Llm Knowledge Graph information

See Reston, VA salary details

$42.7K

$65.9K

$99.4K

How much do llm knowledge graph jobs pay per year?

As of Sep 4, 2026, the average yearly pay for llm knowledge graph in Reston, VA is $65,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $72,300.00 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.

What are popular job titles related to Llm Knowledge Graph jobs in Reston, VA?

For Llm Knowledge Graph jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Llm Knowledge Graph jobs in Reston, VA look for?

The top searched job categories for Llm Knowledge Graph jobs in Reston, VA are:

What cities near Reston, VA are hiring for Llm Knowledge Graph jobs?

Cities near Reston, VA with the most Llm Knowledge Graph job openings:

Infographic showing various Llm Knowledge Graph job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $65,866 per year, or $31.7 per hour.

Public Sector Solutions Engineer, SLED

Glean

Washington, DC • On-site

$110K - $235K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago


Job description

About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. 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 foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
As a SLED Solutions Engineer, you'll collaborate with state, local-government, and education customers to show how Glean's AI-powered search uncovers critical institutional knowledge and streamlines mission-critical workflows. Drawing on deep product mastery and a consultative approach, you'll design and guide tailored technical solutions from initial discovery through successful deployment.
You will:
  • Partner with Account Executives to navigate complex, multi-stakeholder deal cycles with C-level executives
  • Build and maintain strong relationships with key decision makers and influencers in the public sector
  • Create and demo custom environments based off of customer industry and line of business
  • Run and manage a technical POC cycle
  • Perform customer facing activities including technical discovery calls
  • Lead security based conversations to make customers comfortable with Glean's security posture
  • Work cross functionally with product and engineering to deliver customer request and be a voice of the customer
  • Develop ROI and business justification reports and presentations

About you:
  • 3-5+ years of sales engineering or solution consulting experience in a SaaS organization with a focus on the public sector, specifically in the state, Local and educational markets
  • Bachelor's degree in CS or a related field
  • Excellent written and verbal communication skills
  • Highly motivated, driven and self-starting individual
  • Ability to work in a fast paced, team environment
  • Clear examples of partnering with AEs to run technical deal cycles with Enterprise customers
  • A consultative approach with solving your customer's business challenges and having a track record of successfully overcoming technical and security objections
  • Familiarity with any cloud environment (GCP, AWS, Azure)
  • Proficiency in Python or Java
  • Ability to configure, monitor and maintain API based integrations

Location:
  • This role is remote (must be based in Washington, DC)
Compensation & Benefits:
The standard OTE range for this position is $110,000 - $235,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-REMOTE
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.