1

Interpretability Ai Jobs in Springfield, VA (NOW HIRING)

Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance. * Experience using generative AI, world models, digital twins ...

Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance. * Experience using generative AI, world models, digital twins ...

Technology Architect - AI

Mclean, VA ยท On-site

$138K - $180K/yr

Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance. * Experience using generative AI, world models, digital twins ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

Experience with multi-modal AI applications; understanding of responsible AI practices (bias detection, fairness evaluation, model interpretability) * Familiarity with federal IT governance ...

... interpretability from an integration perspective. * Contribute to the architectural design of AI ... enabled systems, advocating for scalable, secure, and resilient solutions. * Research and evaluate ...

Senior Engineer - Applied AI

Bethesda, MD ยท On-site

$111K - $153K/yr

Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) * Experience: 4+ ...

Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) * 8 or more years of ...

Senior Engineer - Applied AI

Bethesda, MD ยท On-site

$111K - $153K/yr

Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) * Experience: 4+ ...

Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) * 8 or more years of ...

Showing results 21-40

Interpretability Ai information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do interpretability ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for interpretability ai in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What is interpretability in AI?

Interpretability in AI refers to the ability to understand and explain how artificial intelligence systems, especially complex models like neural networks, make their decisions. It helps researchers, developers, and end-users to trust AI systems by making their inner workings more transparent. Interpretability is crucial in sensitive fields such as healthcare and finance, where decisions need to be justified and understood. Techniques for interpretability include feature importance, visualization, and model simplification. Improving interpretability can lead to safer, fairer, and more accountable AI systems.

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

To thrive as an AI Interpretability Specialist, you need expertise in machine learning, statistics, and data analysis, often backed by a degree in computer science, mathematics, or a related field. Familiarity with interpretability frameworks (like LIME, SHAP), deep learning libraries (such as TensorFlow or PyTorch), and experience with model evaluation tools are typically required. Strong problem-solving abilities, communication skills, and intellectual curiosity help bridge the gap between technical results and stakeholder understanding. These competencies are essential to ensure AI models are transparent, trustworthy, and aligned with ethical standards.

What are the main challenges faced when working in interpretability AI roles, and how can professionals address them?

Professionals in Interpretability AI often face the challenge of translating complex machine learning models into understandable insights for both technical and non-technical stakeholders. This requires not only a deep understanding of algorithms but also strong communication skills to bridge the gap between data scientists, engineers, and decision-makers. Additionally, balancing the trade-off between model accuracy and interpretability can be tricky, as more interpretable models may sometimes be less accurate. Collaborating closely with cross-functional teams and staying updated with the latest interpretability techniques can help overcome these challenges and add value to AI projects.

What is the difference between Interpretability Ai vs Data Scientist?

AspectInterpretability AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or data analysis; often a master's or PhD in related fieldsDegree in computer science, statistics, or related fields; often a master's or PhD
Work EnvironmentResearch labs, AI development teams, tech companies focusing on explainable AIData analysis, modeling, and insights generation across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting, and more

Interpretability Ai specialists focus on making AI models transparent and understandable, often working on explainability tools. Data Scientists analyze data, build models, and generate insights. While both roles require strong analytical skills, Interpretability Ai emphasizes explainability techniques, whereas Data Scientists focus on data analysis and modeling across diverse industries.

What job categories do people searching Interpretability Ai jobs in Springfield, VA look for?

The top searched job categories for Interpretability Ai jobs in Springfield, VA are:

Infographic showing various Interpretability Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.

Technology Architect - AI

In-Q-Tel

Mclean, VA โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

In-Q-Tel
In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets
Technology Architect - AI
US-VA-McLean
Job ID: 2026-1450
# of Openings: 1
Category: Technology Consulting
IQT
Overview

This position will work closely with IQTโ€™s government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup ecosystem, for both immediate mission needs and long term readiness. The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search, AI automation, custom Large Language Models (LLMs), physical AI, and the security of AI systems. This position will guide the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our Intelligence Community/Department of Defense government partners.


Responsibilities
  • Identifies new AI/ML technology areas for investment and provides technical diligence on multiple complementary investments in that technology area.
  • Develop and negotiation of Statements of Work contracts between IQT and start-up companies.
  • Provides thought leadership in one or more areas of AI/ML subject matter expertise.
  • Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, technical engagement strategies across short- and long-term development horizons.
  • Provide technical oversight on work programs; perform assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership.
  • Oversee development of technology architectures and solutions to address AI-related problems faced by IQTโ€™s government partners.
  • Coordinates with customers on AI technology adoption strategy in development of multiple work programs in a government partner mission area.

Qualifications

Minimal Qualifications

  • Due to contractual reasons, U.S. Citizenship is required.
  • Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information.
  • Advanced degree in a science or engineering discipline (or equivalent experience) preferred.
  • Minimum 5 years professional experience with some portion of that 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.

Preferred Qualifications

  • Demonstrated 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, including detection, vulnerability prioritization, incident investigation, and response.
    • Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components.
    • Familiarity with AI threats such as prompt injection, jailbreaks, unsafe tool use, data or 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, including threat modeling, adversarial testing, safety evaluations, monitoring, and incident response.
    • Knowledge of AI-enabled security operations, including threat hunting, vulnerability analysis, malware analysis, digital forensics, alert triage, and detection engineering.
    • Familiarity with privacy-preserving AI, including federated learning, differential privacy, secure aggregation, confidential computing, and multiparty computation.
    • Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance.
    • Experience using generative AI, world models, digital twins, or multi-agent simulations for red teaming, mission rehearsal, synthetic data, and defensive testing.
    • Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming.
    • Working knowledge of modern AI architectures, including Transformers, mixture-of-experts, diffusion, state-space, retrieval, multimodal, agentic, and edge AI systems.
    • Understanding of the AI lifecycle, including data preparation, training, adaptation, evaluation, deployment, monitoring, governance, and retirement.
    • Experience with MLOps, LLMOps, or AgentOps practices and supporting production infrastructure.
    • Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and with cloud, GPU, API, container, or production data environments.
    • Ability to assess emerging AI technologies, separate demonstrated performance from marketing claims, and evaluate mission value, limitations, risks, and adoption barriers.
  • Commitment to continued understanding of new AI technologies and their strategic advantages.
  • Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences.
  • Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment.
  • Comfortable presenting complex technology subjects to both technical and non-technical audiences.
  • Prior experience working with the U.S. Intelligence Community.
  • Strong writer: experience in both technical writing and proposal/contract writing is preferred.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

PM22


PId74935fba7e6-35196-41236301