ZipRecruiter

Log In

1

Artificial Intelligence Explainable Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsTechnology JobsArtificial Intelligence Explainable Jobs

Artificial Intelligence Explainable information

See salary details

$11K

$102.9K

$133K

How much do artificial intelligence explainable jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence explainable in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is artificial intelligence explainable?

Artificial Intelligence Explainables, often referred to as Explainable AI (XAI), are methods and techniques that make the results and processes of AI systems understandable to humans. XAI helps users and stakeholders comprehend how AI models make their decisions, increasing trust and transparency. This is especially important in critical fields like healthcare, finance, and law, where understanding AI reasoning can impact lives or regulations. By providing clear explanations, XAI also helps developers identify potential biases or errors in AI models.

What are the key skills and qualifications needed to thrive as an artificial intelligence explainability specialist?

To thrive as an Artificial Intelligence Explainability Specialist, you need a strong background in machine learning, statistics, and data science, typically supported by a degree in computer science or a related field. Familiarity with explainability frameworks (such as LIME, SHAP, or Fairness Indicators), programming languages like Python, and cloud-based AI platforms is essential. Critical thinking, clear communication, and the ability to translate complex technical concepts to non-technical stakeholders are standout soft skills. These skills ensure that AI models are transparent, trustworthy, and can be effectively adopted in real-world applications where accountability and compliance are crucial.

What are some common challenges faced by professionals working in artificial intelligence explainability, and how can they be addressed?

Professionals in Artificial Intelligence Explainability often encounter challenges such as translating complex AI model decisions into transparent, user-friendly explanations and ensuring those explanations are understandable to non-technical stakeholders. Additionally, balancing the trade-off between model accuracy and interpretability can be difficult, as more interpretable models sometimes sacrifice predictive performance. To address these challenges, practitioners typically use a combination of model-agnostic explainability tools, collaborate closely with data scientists and domain experts, and prioritize clear communication with end users. Ongoing learning and staying up-to-date with the latest research in explainable AI also help in overcoming these hurdles.

What is the difference between Artificial Intelligence Explainable vs Data Scientist?

AspectArtificial Intelligence ExplainableData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications in AI or data science are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentOften works in AI development teams, research labs, or tech companies focusing on explainability of AI modelsWorks in data analysis, modeling, and insights generation across various industries like finance, healthcare, and tech
Industry UsageUsed in AI model development, especially for transparent and interpretable AI systemsApplied in data analysis, predictive modeling, and business intelligence

In summary, Artificial Intelligence Explainable specialists focus on making AI models transparent and understandable, often working closely with AI development teams. Data Scientists analyze data and build models but may not specialize in explainability. Both roles require strong analytical skills and knowledge of machine learning, but their primary focus and work environments differ.

What other helpful pages are available for Artificial Intelligence Explainable?

Other pages related to Artificial Intelligence Explainable:

Infographic showing various Artificial Intelligence Explainable job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Position Details: Consulting Partner - Artificial Intelligence - Retail

Remote

TEPHRA
Recruiting and Staffing Services • 11 - 50 employees
Learn more about TEPHRAexternal

Other

Posted 5 days ago

Job description

Consulting Partner - Artificial Intelligence for Retail

Tata Consultancy Services (TCS) is seeking an accomplished AI Sales Head to lead and drive our Artificial Intelligence (AI) sales initiatives within the Retail sector across the USA and Canada. This leadership role is pivotal in shaping TCS's AI footprint in the region, with a focus on both strategic and tactical growth. The successful candidate will champion the adoption of advanced AI solutions—including Composite AI, LLM, Generative AI (GenAI), AgenticAI, and AIOps—while ensuring alignment with AI governance, Responsible AI (RAI), and Explainable AI (XAI) practices. The AI Sales Head will manage the entire sales lifecycle, foster deep customer engagement, and deliver measurable business outcomes. S/he should be go-getter with clinical precision on deals while aligning with strategic imperatives.

Qualifications:

  • Bachelor's / MBA degree required, advanced degree in Business, Engineering, or related field.
  • Deep understanding of the Retail & CPG industry landscape in North America.
  • Can be based in any US location but must have flexibility to travel across the US & Canada region as business needs dictate.
  • 20+ Years in AI & Data Sales (preferably in US and Canada market in Retail & CPG).
  • Demonstrated expertise in AI sales, with a strong track record in the Retail & CPG sector in the USA and/or Canada.
  • Demonstrated hands-on experience with GenAI, AgenticAI, AIOps, and modern AI solution stacks.
  • Proven ability to manage complex sales cycles, from initial engagement to contract signing and revenue recognition.
Tephra logo

About Tephra

Sourced by ZipRecruiter

Tephra is an esteemed company based in Woodbridge, NJ, US, well-regarded within the realm of IT consulting and technology services. By perusing through its official website, tephra.com, one discerns that Tephra has carved out a unique niche since its inception, bridging the gap between complex technical problems and corresponding business solutions. The firm has been dedicated to supporting its clients’ needs by developing and implementing comprehensive strategies, tailored solutions, and superior customer service. Operating within IT consulting, it provides services for several sectors including Banking & Financial Services, Telecom, Healthcare, Pharmaceuticals, Consumer Products, Energy, and Utilities, among others. Tephra's mission revolves around one core principle – reliability. They strive for client satisfaction by maintaining high service standards and employing a pool of talented and dedicated professionals.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

NJ, US

Year founded

1999

Social media

Twitter

View All Tephra Jobs

Apply