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Explainable Ai Jobs in Virginia (NOW HIRING)

Jobtailor

Senior Data Scientist

Alexandria, VA · On-site

$180 - $260/hr

Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics * Work with diverse data types (structured ...

Jobtailor

Senior Software Engineer

Alexandria, VA · On-site

$180 - $240/hr

Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of ...

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of AI ...

Sunayu

Contingent AI Engineer - Top Secret

Alexandria, VA · On-site

$111K - $133K/yr

Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of AI ...

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:

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Explainable Ai information

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.
What are popular job titles related to Explainable Ai jobs in Virginia? For Explainable Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Explainable Ai jobs in Virginia look for? The top searched job categories for Explainable Ai jobs in Virginia are:
What cities in Virginia are hiring for Explainable Ai jobs? Cities in Virginia with the most Explainable Ai job openings:
Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in Virginia as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time with Security Clearance

TRIAEM, LLC

Chantilly, VA • On-site

$102K - $140K/yr

Contractor

Re-posted 11 days ago

Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time) Active TS/SCI Required Location: Chantilly, Va or Springfield, Va We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments. This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications. Key Responsibilities * Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments. * Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI). * Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments. * Advise Government stakeholders on strategic technical planning, performance engineering, and risk management. * Develop quantitative and qualitative metrics to ensure confidence and trust in AI models. * Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies. * Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows. * Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy. Required Qualifications * Active TS/SCI clearance (required). * Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience). * Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E). * Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives. * Proficiency in programming languages such as Python, C++, MATLAB, R, or Java. * Experience developing engineering solutions leveraging AI, automation, and augmentation technologies. Desired Qualifications * Experience supporting NGA or Intelligence Community programs. * Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments. * SAFe Agile and/or Model-Based Systems Engineering (MBSE). * Experience with Atlassian tools (JIRA, Confluence). * Experience working with structured and unstructured Big Data.   Skills & Requirements
Qualifications TRIAEM LLC is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, sexual orientation/gender identity, religious creed, national origin, citizenship, marital status, sex, age, or genetic information. Applicants may be subject to a background investigation based on job requirements. TRIAEM Prohibits Discrimination and Harassment of Any Kind; we are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at TRIAEM are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. TRIAEM will not tolerate discrimination or harassment based on any of these characteristics.

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