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Language Model Jobs in Virginia (NOW HIRING)

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Data Scientist / AI Engineer

Norfolk, VA · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Retirement

  • PTO

The role requires strong hands-on experience with generative AI, large language models (LLMs), distributed systems, microservices, containerized applications, and modern software engineering ...

Director, Claims Triage

Richmond, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The successful candidate will lead the implementation of a Large Language Model (LLM) that will transform the way this team performs its work. The Director also oversees budgeting, talent development ...

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

Full-Stack Software Engineer

Reston, VA · On-site

$165K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities. * Develop scalable ...

Showing results 21-40

Language Model information

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What job categories do people searching Language Model jobs in Virginia look for?

The top searched job categories for Language Model jobs in Virginia are:

What cities in Virginia are hiring for Language Model jobs?

Cities in Virginia with the most Language Model job openings:

Infographic showing various Language Model job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Lead AI and Decision Engineer

The MITRE Corporation

Mclean, VA • On-site

$105K - $138K/yr

Other

Posted yesterday

New


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

157th of 447 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
Our AI-enhanced Insights and Decisions department has a need for a Lead Artificial Intelligence and Decision Engineer with a passion for artificial intelligence (AI) and expertise in algorithms and decision making. We are specifically looking for talent in machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human-centered AI, human-machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
As an Artificial Intelligence and Decision Engineer, you will have opportunities to work on a wide range of problems, working in interdisciplinary teams. Your experience will allow you to:
  • Apply large language models to sponsors' decision making and problem-solving challenges.
  • Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.
  • Identify and lead new R&D opportunities to strengthen the nation's growing artificial intelligence capabilities.

Roles & Responsibilities:
  • Provide technical leadership on cross-functional teams developing and implementing AI-enhanced decision systems, including capabilities that leverage large language model technology.
  • Apply modern AI and engineering techniques to develop decision support software prototypes based on analysis of workflow and operational needs.
  • Propose and execute novel, cutting-edge research in Al-enhanced decision systems.
  • Evaluate Al solutions against sponsor requirements and produce actionable recommendations.
  • Lead projects or small teams to solve complex decision problems for our sponsors.
  • Convey complex ideas to non-technical audiences through briefings and/or white papers.
  • Lead, mentor, and collaborate with technical staff

Basic Qualifications:
  • Typically requires a minimum of 8 years of experience in artificial intelligence with a Bachelor's degree in a relevant field; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of AI-related education and work experience.
  • Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human-centered AI, human-machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
  • Ability to articulate challenges in high-stakes decision making with AI and identify gaps.
  • A keen interest in learning about and rapidly responding to new problems across a variety of domains.
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
  • Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
  • Proven ability to lead interdisciplinary teams and engage senior mission stakeholders across technical and operational domains.
  • Ability and willingness to obtain and maintain a DOD TS/SCI security clearance.
  • This position requires a minimum of 50% hybrid on-site.

Preferred Qualifications:
  • Advanced degree in computer science, engineering, or related disciplines.
  • Track record of successful deployment of AI/ML decision support systems or components that have been used by customers or stakeholders outside of a lab/experimental setting.
  • Experience leading teams of 5 or more to solve complex technical challenges.
  • Experience with testing and evaluation of AI systems.
  • Active DoD Secret clearance.

This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret/SCI
Salary compensation range and midpoint:
$174,000 - $217,500 - $261,000 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

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Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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