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Explainable Ai Jobs (NOW HIRING)

Experience building human-in-the-loop decision-support systems and explainable AI capabilities. * Experience partnering closely with product and design teams to deliver user-centered software.

Experience building human-in-the-loop decision-support systems and explainable AI capabilities ... Experience partnering closely with product and design teams to deliver user-centered software.

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 ...

Our platform helps organizations build, govern, and deploy secure, explainable AI rooted in their own data across cloud, on-premises, edge, and air-gapped environments. We care deeply about ...

Our platform helps organizations build, govern, and deploy secure, explainable AI rooted in their own data across cloud, on-premises, edge, and air-gapped environments. We care deeply about ...

Showing results 21-40

Explainable Ai information

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$71.5K

$112K

$156.5K

How much do explainable ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for explainable ai in the United States is $112,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $127,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

More about Explainable Ai jobs

What cities are hiring for Explainable Ai jobs?

Cities with the most Explainable Ai job openings:

What states have the most Explainable Ai jobs?

States with the most job openings for Explainable Ai jobs include:

Infographic showing various Explainable Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $112,009 per year, or $53.9 per hour.

Associate AI Software Engineer/ AI Software Engineer (AHT)

Northrop Grumman Corporation

Beavercreek, OH • On-site

Full-time

Medical, Life, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: Top SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

The Northrop Grumman C2 & Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking an AI Software Engineer. This role supports research and development in areas including Large Language Models (LLMs), natural language processing (NLP), natural language understanding (NLU), natural language generation (NLG), AIbased decision-making, sensor fusion, data fusion, computer vision, and image processing, with a focus on responsible and explainable AI.

Key Responsibilities

  • Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
  • Apply machine learning algorithms to large structured and unstructured datasets for use cases such as autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, signals processing, and robotic systems.
  • Design, develop, document, test, debug, and deploy AI/ML applications.
  • Collaborate with crossfunctional teams to deploy AI/ML solutions in development and production environments.
  • Prepare and present technical progress and results to internal and external stakeholders.

This position may be filled as a level 1 or 2 based on the qualifications below.

Basic Qualifications

  • Associate AI Software Engineer (Level 1): Bachelor's degree in Computer Science or a related STEM field with 0 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
  • AI Software Engineer (Level 2): Bachelor's degree in Computer Science or a related STEM field with 2 years of relevant experience, or master's degree in Computer Science or a related STEM field with 0 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
  • Experience implementing and/or applying one or more AI models and algorithms (for example: LLMs, deep neural networks, genetic algorithms, embedding models, deep learning architectures).
  • Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikitlearn.
  • Experience across the ML pipeline, including:
    • Working with novel or heterogeneous datasets.
    • Data processing and preparation.
    • Training and finetuning ML systems.
    • Modifying existing deep learning architectures and implementing models from architecture diagrams.
    • Evaluating system performance using established and custom metrics and methods.
  • Ability to perform rapid prototyping and proofofconcept implementations.
  • General familiarity with applied machine learning concepts, including multilayer perceptrons, convolutional neural networks (CNNs), recurrent architectures such as LSTMs, transformer models, supervised and unsupervised learning methods, reinforcement learning methods, and statistical or graphical models.
  • General familiarity with computational and statistical learning theory.
  • Experience with web application development frameworks such as Flask or FastAPI.
  • Understanding of software engineering practices, including use of source control and basic software architecture concepts.
  • Ability to obtain a U.S. Government TS/SCI security clearance with CI Poly

Preferred Qualifications

  • Active TS/SCI clearance with CI Poly
  • Experience with AWS or other commercial cloud computing platforms.
  • Experience with microservice architectures and related practices, including containerization and container orchestration technologies.
  • Familiarity with explainable AI, adversarial AI, active learning, and thirdwave AI approaches.
  • Familiarity with DevOps, DevSecOps, and/or MLOps concepts and workflows.
  • Familiarity with Linux-based operating systems.
  • Experience working independently to plan and execute technical tasks.
  • Hands-on experience with LLMs (e.g., prompt design/engineering, use of LLM development frameworks, finetuning, or model quantization).
  • Experience with modeling and simulation.
  • Experience using vector databases and/or graph databases.

#PWRTA3

Primary Level Salary Range: $83,800.00 - $125,800.00Secondary Level Salary Range: $101,000.00 - $151,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939