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Embodied Ai Jobs in Virginia (NOW HIRING)

Jobtailor

Technology Architect - AI

Mclean, VA · On-site

$150 - $230/hr

Familiarity with embodied AI, robotics, autonomous systems, reinforcement learning, and human-machine teaming * Working knowledge of modern AI architectures * Understanding of the AI lifecycle

IQT

Technology Architect - AI

Mclean, VA · Hybrid

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

IQT

Technology Architect - AI

Mclean, VA · On-site +1

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

IQT

Technology Architect - AI

Mclean, VA · On-site

$138K - $180K/yr

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

Threat Tec, LLC

Fabricator

Hampton, VA · On-site

$65K - $85K/yr

Join a team that is embodied by an unwavering commitment to professionalism, honesty, and ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Threat Tec, LLC

Program Manager

Quantico, VA · On-site

$145K - $175K/yr

Join a team that is embodied by an unwavering commitment to professionalism, honesty, and ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Threat Tec, LLC

Program Manager

Quantico, VA · On-site

$145K - $175K/yr

Join a team that is embodied by an unwavering commitment to professionalism, honesty, and ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Threat Tec, LLC

Program Manager

Quantico, VA · On-site

$145K - $175K/yr

Join a team that is embodied by an unwavering commitment to professionalism, honesty, and ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Threat Tec, LLC

Fabricator

Hampton, VA · On-site

$65K - $85K/yr

Join a team that is embodied by an unwavering commitment to professionalism, honesty, and ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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All JobsEmbodied Ai JobsEmbodied Ai Jobs in Virginia

Embodied Ai information

What is embodied AI?

Embodied AI refers to artificial intelligence systems that are integrated into physical entities, such as robots, which can perceive, act, and interact with the real world. Unlike traditional AI, which operates purely in digital environments, Embodied AI enables machines to understand and respond to their surroundings through sensors and actuators. This field combines elements of robotics, computer vision, natural language processing, and machine learning to create agents that can learn from their experiences and adapt to new tasks. Embodied AI is used for applications like autonomous vehicles, service robots, and interactive agents.

What are the common challenges faced by professionals working in embodied AI roles?

Professionals in Embodied AI often encounter challenges related to integrating physical hardware with complex AI algorithms. This can include troubleshooting issues between sensors, actuators, and software to ensure smooth real-world operation. Additionally, working in multidisciplinary teams—combining robotics, computer vision, and machine learning—requires strong collaboration and communication skills. Staying up-to-date with rapid advancements and testing models in unpredictable, real-world environments are also key aspects of the role.

What are the key skills and qualifications needed to thrive as an embodied AI engineer, and why are they important?

To thrive as an Embodied AI Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages such as Python or C++. Familiarity with robotics middleware (like ROS), simulation tools (such as Gazebo or PyBullet), and relevant AI frameworks is typically required, along with advanced degrees in computer science or engineering often preferred. Creative problem-solving, teamwork, and effective communication are key soft skills that set candidates apart in this interdisciplinary field. These skills and qualities are essential for developing intelligent systems that can physically interact with the world and adapt to complex, real-world environments.

What is the difference between Embodied Ai vs Robotics Engineer?

AspectEmbodied AiRobotics Engineer
Required CredentialsDegree in AI, Computer Science, or related fieldsDegree in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, AI development firms, tech companiesManufacturing plants, research labs, engineering firms
Industry UsageAI-driven applications, virtual agents, autonomous systemsPhysical robot design, automation, hardware integration
Common Search/ComparisonFocuses on AI embodiment in virtual or physical agentsFocuses on hardware and mechanical aspects of robots

Embodied Ai primarily involves developing AI systems that can operate within physical or virtual agents, emphasizing AI algorithms and interaction. Robotics Engineers focus on designing and building physical robots, integrating hardware and software. While both roles overlap in AI and robotics, Embodied Ai centers on AI behavior within agents, whereas Robotics Engineers work on the physical construction and mechanics of robots.

What are popular job titles related to Embodied Ai jobs in Virginia?

For Embodied Ai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Embodied Ai jobs in Virginia look for?

The top searched job categories for Embodied Ai jobs in Virginia are:

What cities in Virginia are hiring for Embodied Ai jobs?

Cities in Virginia with the most Embodied Ai job openings:

Embodied Ai jobs near you
Infographic showing various Embodied Ai job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Technology Architect - AI

Jobtailor

Mclean, VA • On-site

$150 - $230/hr

Other

Posted 7 days ago

Job description

  • Work closely with IQT’s government partners to understand technology challenges
  • Investigate and recommend potential solutions from the venture-backed startup ecosystem
  • Identify new AI/ML technology areas for investment
  • Provide technical diligence on multiple complementary investments
  • Develop and negotiate Statements of Work contracts with startup companies
  • Provide thought leadership in AI/ML subject-matter areas
  • Identify topics for and oversee technical engagement strategies across short- and long-term horizons
  • Provide technical oversight of work programs and assess deliverables
  • Identify and communicate issue-resolution paths to stakeholders and IQT Leadership
  • Oversee development of technology architectures and solutions for AI-related government-partner problems
  • Coordinate with customers on AI technology adoption strategies across multiple work programs
Requirements
  • U.S. Citizenship required
  • Must meet eligibility requirements for access to classified information; active top-secret clearance preferred
  • Advanced degree in a science or engineering discipline, or equivalent experience, preferred
  • Minimum 5 years of professional experience, including time overseeing a technology development effort in a business and/or intelligence environment
  • Demonstrated expertise in artificial intelligence or machine learning
  • Previous experience negotiating milestone-based Statements of Work contracts
  • Expertise in applied AI/ML, generative and multimodal AI, enterprise search, agentic systems, workflow automation, NLP, or production AI engineering
  • Experience designing, evaluating, deploying, or securing LLMs, multimodal models, RAG systems, AI agents, or human-AI decision-support tools
  • Knowledge of AI-enabled threat intelligence and cyber defense
  • Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components
  • Familiarity with AI threats including prompt injection, jailbreaks, unsafe tool use, data/model poisoning, evasion, model extraction, and sensitive-data leakage
  • Knowledge of agent security, including identity, authorization, least privilege, sandboxing, containment, MCP security, and supply-chain integrity
  • Experience with AI evaluation, assurance, and red teaming
  • Knowledge of AI-enabled security operations
  • Familiarity with privacy-preserving AI
  • Understanding of explainable and auditable AI
  • Experience using generative AI, world models, digital twins, or multi-agent simulations
  • Familiarity with embodied AI, robotics, autonomous systems, reinforcement learning, and human-machine teaming
  • Working knowledge of modern AI architectures
  • Understanding of the AI lifecycle
  • Experience with MLOps, LLMOps, or AgentOps and production infrastructure
  • Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and cloud, GPU, API, container, or production data environments
  • Ability to assess emerging AI technologies and evaluate mission value, limitations, risks, and adoption barriers
  • Commitment to continued understanding of new AI technologies
  • Ability to analyze complex problems, identify root causes, summarize analysis, and present recommendations to non-technical audiences
  • Startup or entrepreneurial experience and ability to thrive in an entrepreneurial environment
  • Comfortable presenting complex technology subjects to technical and non-technical audiences
  • Prior experience working with the U.S. Intelligence Community
  • Strong writing skills; technical writing and proposal/contract writing preferred
Core Competencies

Demonstrates expertise in Artificial Intelligence and Machine Learning, with a strong focus on applied AI technologies, technical diligence, and contract negotiation. Capable of providing thought leadership and technical oversight in AI-related government partnerships while effectively communicating complex technology concepts to diverse audiences.

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