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Explainable Ai Jobs in Kentucky (NOW HIRING)

$115 - $192/hr

Translate market, technology, and AI trends into clear product direction. * Engage regularly with ... Champion intuitive, explainable, and user‑centric product experiences, particularly for ...

$100 - $115/hr

... explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence. Recognized as a Leader in the 2026 Gartner Magic Quadrant for ...

$116 - $174/hr

... explainable, fast, and highly available for all customers. * Work with Product to break down ... Integrate AI into your and the team's development workflow from the ground up --for example, using ...

$116 - $174/hr

... explainable, fast, and highly available for all customers. * Work with Product to break down ... Integrate AI into your and the team's development workflow from the ground up --for example, using ...

$139 - $219/hr

... explainable, and competitive compensation programs. We follow consistent hiring practices and ... You'll work at the intersection of developer experience, AI measurement, and engineering ...

New

$132 - $172/hr

... teams AI context layer: provides structured software context that can support AI agents and ... At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We ...

$150 - $200/hr

... explainable, scalable, and accurate engineering solutions. * Act as a technical mentor for senior ... Demonstrated ability to implement AI-powered assistants for product development, alert triage, and ...

$131 - $204/hr

... AI. You understand how data moves, systems integrate, and migrations succeed (or fail). You will ... At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We ...

New

$151 - $198/hr

... and AI. DX combines self-reported insights from developers with data from the systems where ... At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We ...

Showing results 41-49

Explainable Ai information

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.

What are popular job titles related to Explainable Ai jobs in Kentucky?

For Explainable Ai jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Explainable Ai jobs in Kentucky look for?

The top searched job categories for Explainable Ai jobs in Kentucky are:

What cities in Kentucky are hiring for Explainable Ai jobs?

Cities in Kentucky with the most Explainable Ai job openings:

Infographic showing various Explainable Ai job openings in Kentucky as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 7% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

$115 - $192/hr

Other

Posted 9 days ago


Job description

Key Responsibilities

  • Help define and communicate a clear product vision aligned to business goals and market opportunities.

  • Build and maintain a data-driven product strategy and roadmap grounded in customer insight, competitive analysis, and industry trends.

  • Develop business cases and investment proposals, ensuring strategic and financial alignment.

  • Translate market, technology, and AI trends into clear product direction.

  • Engage regularly with customers to deeply understand workflows, needs, and business contexts.

  • Ensure customer value remains central to all product decisions.

  • Champion intuitive, explainable, and user‑centric product experiences, particularly for AI‑driven features.

  • Own planning and execution for complex, cross‑team initiatives, proactively identifying and removing blockers.

  • Set clear success metrics, define KPIs and OKRs, and hold the product team accountable for outcomes.

  • Drive experimentation and learning through hypothesis‑driven development.

  • Balance short‑term delivery with long‑term strategic investment.

  • Partner closely with engineering, data science, UX, marketing, sales, and legal to deliver high‑quality products.

  • Act as a trusted product and technical partner, ensuring feasibility, quality, and scalability.

  • Translate complex technical capabilities into clear, value‑focused product narratives.

  • Influence senior stakeholders through evidence, clarity, and compelling storytelling.

  • Ensure high standards of design quality, usability, and accessibility.

  • Use analytics to inform decisions, validate assumptions, and communicate performance.

  • Support and mentor other product managers, contributing to a high‑performing product organisation.


Key Skills and Attributes

  • Strong product ownership mindset with accountability for strategy, execution, and results.

  • Excellent commercial judgment, systems thinking, and decision‑making ability.

  • Proven ability to lead through influence in complex, ambiguous environments.

  • Bias for action with strong prioritisation, focus, and delivery discipline.

  • Deep understanding of how technology and AI create commercial value.

  • Exceptional communication skills, able to simplify complex ideas for diverse audiences.

  • Analytical, strategic thinker with strong problem‑solving skills.

  • Resilient, adaptable, and effective in fast‑paced, high‑ambiguity contexts.

  • Collaborative and empathetic leader with strong emotional intelligence.


Experience Requirements

  • Significant experience managing complex products or platforms end‑to‑end.

  • Demonstrated success in matrixed, cross‑functional environments.

  • Proven track record of delivering products from concept through launch with clear business impact.

  • Delivery of AI driven product capabilities essential.


U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.


We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. This job is eligible for an annual incentive bonus. We are committed to providing a fair and accessible hiring process.


If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1‑855‑833‑5120.


We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.


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LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision‑making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what’s possible for the way our customers work and to advance what’s possible in the world by strengthening the rule of law.

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