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Xai Jobs in Virginia (NOW HIRING)

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Familiarity with explainable AI (XAI) techniques for safety-critical environments. * Hands-on experience with reinforcement learning and real-time systems applicable to MPC. Qualifications We Prefer:

LMI

AI Full-Stack Engineer

Tysons, VA · On-site

Use agentic coding workflows (e.g., Anthropic Claude Code, Google Gemini Code Assist, OpenAI Codex, xAI Grok Code Fast, etc.) to accelerate implementation, testing, and iteration * Contribute to ...

LMI

AI Full-Stack Engineer

Tysons, VA · On-site

Use agentic coding workflows (e.g., Anthropic Claude Code, Google Gemini Code Assist, OpenAI Codex, xAI Grok Code Fast, etc.) to accelerate implementation, testing, and iteration * Contribute to ...

LMI

AI Full-Stack Engineer

Tysons, VA · On-site

Use agentic coding workflows (e.g., Anthropic Claude Code, Google Gemini Code Assist, OpenAI Codex, xAI Grok Code Fast, etc.) to accelerate implementation, testing, and iteration * Contribute to ...

All JobsXai JobsXai Jobs in Virginia

Xai information

See Virginia salary details

$46.1K

$93.7K

$140.8K

How much do xai jobs pay per year?

As of Aug 13, 2026, the average yearly pay for xai in Virginia is $93,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $94,700.00 per year, depending on experience, location, and employer.

What is an XAI job?

A Xai job typically involves working with Explainable AI (XAI), which focuses on making AI models more transparent and interpretable. Professionals in this role develop methods to help users understand how AI systems make decisions, ensuring fairness, accountability, and trust. Responsibilities may include researching interpretability techniques, implementing explainability frameworks, and collaborating with data scientists and engineers. These roles are common in industries like healthcare, finance, and autonomous systems, where understanding AI decisions is critical.

What is an XAI specialist?

XAI (Explainable Artificial Intelligence) specialists are professionals who focus on developing and implementing AI systems that can be easily understood and interpreted by humans. Their main goal is to make machine learning models transparent and explainable, ensuring that users, stakeholders, and regulators can trust and understand the decision-making process of AI systems. XAI specialists often work closely with data scientists, engineers, and ethicists to create models that balance performance with interpretability. They also help organizations comply with regulations that require transparency in automated decision-making. Their work is essential in industries like healthcare, finance, and legal services, where understanding AI decisions is critical.

What is the difference between Xai vs Data Analyst?

AspectXaiData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst are beneficial
Work EnvironmentOften works in tech companies, research labs, or AI-focused organizationsWorks across various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsagePrimarily employed in AI, machine learning, and data science projectsEmployed in business intelligence, reporting, and data-driven decision-making

While both Xai and Data Analyst roles involve working with data, Xai focuses on explainable AI models and understanding AI decision processes, whereas Data Analysts primarily analyze data to generate reports and insights. The roles overlap in data handling and require similar credentials, but their core focus and work environments differ.

What are the main challenges faced by professionals working in Explainable AI (XAI) roles?

Professionals in Explainable AI (XAI) roles often encounter the challenge of balancing model accuracy with interpretability, as more complex models can be harder to explain. They also need to communicate technical findings to non-technical stakeholders, requiring strong collaboration and communication skills. Working in XAI typically involves close teamwork with data scientists, machine learning engineers, and domain experts to ensure that AI systems are both effective and transparent. Navigating evolving regulatory and ethical standards is another important aspect of the role.

What are the key skills and qualifications needed to thrive as an Explainable AI (XAI) specialist, and why are they important?

To thrive as an Explainable AI (XAI) Specialist, you need a solid background in machine learning, statistics, and computer science, often supported by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and specialized XAI libraries like LIME or SHAP, as well as knowledge of relevant regulatory standards, is crucial. Strong communication, problem-solving, and interdisciplinary collaboration skills help translate complex AI models into understandable insights for diverse stakeholders. These abilities ensure that AI systems are transparent, trustworthy, and effectively integrated into real-world applications.
What are the most commonly searched types of Xai jobs in Virginia? The most popular types of Xai jobs in Virginia are:
What are popular job titles related to Xai jobs in Virginia? For Xai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Xai jobs in Virginia look for? The top searched job categories for Xai jobs in Virginia are:
What cities in Virginia are hiring for Xai jobs? Cities in Virginia with the most Xai job openings:
Xai jobs near you
Infographic showing various Xai job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,731 per year, or $45.1 per hour.

AI-ML Modeling, Simulation and Analysis Engineer Senior 112-052

IC-CAP LLC

Chantilly, VA • On-site

$107K - $146K/yr

Part-time

Re-posted 17 days ago

Job description

Part-Time Position
Senior Level Modeling, Simulation and Analysis (MS&A) Engineers guide and conduct modeling, simulation and analysis activities in support of business stakeholders, analysts, and warfighters to define and analyze system and data requirements to support NGA business and mission processes to ensure timely and accurate GEOINT. This position is focused on providing technical advisory support to identify capability gaps and needs, tools, technologies, and new agile methods and techniques ready to adapt to current innovations within AI R&D particularly verification of AI models.
Duties include:
  • Perform Gap analysis and methodologies to identify the implications of artificial intelligence and machine learning for the future of warfare, and the specific defense and security applications (e.g., intelligence analysis, command and control, targeting, autonomous systems, information operations, training and simulation) where AI will be most impactful.
  • Assists in creating and leading Analysis of Alternatives (AoAs), Design of Experiments (DoE), Course of Actions (CoAs), Trade Studies, and Engineering Assessments.
  • Assists the Government in strategic technical planning, project management, performance engineering, risk management and interface design.
  • Assists with the planning, analysis/traceability of user requirements, architectures traceability, procedures, and problems to automate or improve existing systems and review cloud service capabilities, workflow, and scheduling limitations
  • Experience in both quantitative and qualitative analysis to support sound metrics to uphold the confidence of the AI model assurance.
  • Assists Government in the creation of foundation of AI Assurance capabilities, including thorough formal methods for trusted and trustworthy eXplainable AI (XAI) and /or Independent Verification & Validation methodologies (IV&V) for AI (beyond T&E), T&E/V&V-As-a-Service
  • Work with leaders, scientists, and engineers across NGA, NSG, the (IC, ASG and US Government contractors for advancing, coordinating, and executing corporate AI strategies and goalsparticularly centered around Verified-AI (IV&V) and XAI.

Education and Experience
Required:
  • 12 to 18 years of experience
  • Masters degree in Computer Science, Computer Vision, Artificial Intelligence, Machine Learning, or related STEM degree program, or equivalent Senior level experience as a MS&A Engineer.
  • Demonstrated experience in of AI Assurance, T&E or V&V-As-a-Service, and XAI.
  • Demonstrated experience providing engineering solutions using Automation, Augmentation and Artificial Intelligence technologies.
  • Demonstrated experience using Test Driven Development leveraging computer programming languages to include but not limited to; Python, C++, Matlab, R, Java
  • Demonstrated experience of IV&V and the T&E status quo for AI models.

Desired:
  • Demonstrated experience working with NGA Enterprise solutions to include CI/CD pipeline and DevSecOps
  • Demonstrated experience in SAFe framework and Model Based Systems Engineering
  • Demonstrated experience in Atlassian products such as Confluence and JIRA
  • Demonstrated experience with engineering solutions using Cloud-based technologies.
  • Demonstrated experience with engineering solutions using structured and unstructured Big Data.

Security Clearance:
  • Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

Apply