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Explainable Ai Jobs in Washington (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 ...

Avancer Corporation

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Deliver explainable, regulator-ready outputs with evidence-backed decisions and linked text spans. * Ensure full audit trails for all AI decisions and outputs. * Define and track precision, recall ...

Amtex Systems Inc

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Deliver explainable, regulator-ready outputs with evidence-backed decisions and linked text spans. * Ensure full audit trails for all AI decisions and outputs. * Define and track precision, recall ...

Amtex System Inc.

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Deliver explainable, regulator-ready outputs with evidence-backed decisions and linked text spans. * Ensure full audit trails for all AI decisions and outputs. * Define and track precision, recall ...

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 ...

Jobtailor

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

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

Leidos

Senior AI Engineer

Rockville, MD · On-site

$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 ...

Leidos

Senior AI Engineer

Rockville, MD · 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 ...

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 ...

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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 Washington? For Explainable Ai jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Explainable Ai jobs in Washington look for? The top searched job categories for Explainable Ai jobs in Washington are:
What cities in Washington are hiring for Explainable Ai jobs? Cities in Washington with the most Explainable Ai job openings:
Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in Washington 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 Data Scientist

Jobtailor

Alexandria, VA • On-site

$180 - $260/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges
  • Deliver innovative, production‑ready algorithms and platforms
  • Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics
  • Work with diverse data types (structured, unstructured, open source, digital media)
  • Leverage modern tools such as Python, PyTorch, Scikit‑learn, LLM frameworks, and geospatial analytics platforms
  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment
Requirements
  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.)
  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s)
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph
  • Proficiency in Python and at least one other scripting language
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms
  • Track record of creative problem solving, active learning, and mission‑focused outcomes
  • Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift)
Core Competencies

Demonstrates expertise in designing and deploying advanced analytics and AI/ML solutions, leveraging proficiency in Python and statistical analysis techniques. Collaborates effectively with multidisciplinary teams to deliver innovative, production‑ready algorithms and platforms in a fast‑paced environment.

Highest‑signal resume keywords
  • Advanced Analytics Development
  • AI/ML Solutions Deployment
  • Python Proficiency
  • Statistical Analysis Techniques
  • Top Secret Clearance
ATS Optimization Keywords Hard Skills
  • Data Science
  • Predictive Analytics
  • Entity Resolution
  • Graph Analytics
  • Explainable AI
  • Operational Analytics
  • Scripting Language Proficiency
  • Creative Problem Solving
  • Version Control Tools
  • Deployment Technologies
Soft Skills
  • Collaboration
  • Active Learning
  • Mission‑Focused Outcomes
Certifications & Qualifications
  • Active Top Secret Clearance
  • Eligibility for TS/SCI with Polygraph
Industry Keywords
  • Quantitative Analysis
  • Analytical Platforms
  • Data Engineering
  • DevSecOps
  • Cybersecurity
  • Observability
Tools & Technologies
  • PyTorch
  • Scikit‑learn
  • LLM Frameworks
  • Geospatial Analytics Platforms
  • Docker
  • Kubernetes
  • OpenShift
  • Git
  • SVN
  • JIRA
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