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Explainable Ai Jobs in Kentucky (NOW HIRING)

$136 - $181/hr

Champion data governance, quality, reconciliation, and standardization practices to ensure trusted metrics, explainable AI outputs, and reusable data assets across enterprise platforms. Lead business ...

New

$131 - $237/hr

Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of AI ...

New

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

$132 - $178/hr

Optimize modeling approaches and feature strategies to support efficient, explainable AI and ML systems. * Set RS21's cloud data science strategy, evaluate platform trade-offs, drive AWS ML platform ...

$150 - $230/hr

As an Applied AI Research Engineer, you'll focus on human machine teaming and agentic AI to build ... explainable, and more trustworthy. Research Areas of Interest An incomplete list of ongoing and ...

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$131 - $237/hr

Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. * Contribute to the integration of software ...

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$160 - $219/hr

AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated ... and everything you build must be measurable, explainable, and reliable in production.

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$190 - $230/hr

Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts, maintaining currency with the ...

$180 - $240/hr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

$150 - $210/hr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

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$140 - $230/hr

They're creating technology that delivers personalised financial advice at scale while ensuring every recommendation is explainable, auditable and compliant. This isn't an AI wrapper bolted onto an ...

$179 - $205/hr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI*** **Use programming ...

$130 - $180/hr

Collaborate across functions to ensure AI solutions are scalable cost effective and explainable to non technical stakeholders. Candidate Requirements At least six years of professional experience in ...

$209 - $239/hr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming ...

$140 - $170/hr

Partner with Division AI Champions and business stakeholders to ensure solutions are usable, explainable, and aligned to business workflows. * Prepare or contribute to technical documentation ...

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$116 - $169/hr

Explainable AI* Performance benchmarking* Technical documentation* Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under ...

$115 - $125/hr

Ensure models are explainable, validated, and usable by non‑data‑science engineering teams ... Support responsible AI use, including transparency, robustness, and compliance with Gates ...

$90 - $130/hr

The AI Experience team translates advanced AI capabilities into usable, explainable, and responsible product experiences. We sit at the intersection of AI engineering, product strategy, design ...

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$110 - $160/hr

Ability to use AI where it adds leverage while keeping core data logic reliable, testable, and explainable.**Nice To Have*** Cybersecurity, IT, cloud, identity, or infrastructure data experience.

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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.

$136 - $181/hr

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Medical, Dental, Vision, Life, Retirement, PTO

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Heidelberg Materials rating

6.8

Company rating: 6.8 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

425th of 545 rated manufacturers


Job description

Line of Business: Service & Support Pay Range: $136,030.00 – $181,363.32 About Us Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.

What You’ll Be Doing

Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies, translating platform capabilities into business value. Partner with Finance, Commercial, Operations, Digital, and Data Engineering teams to identify, prioritize, and deliver high-impact analytics and AI use cases. Own the strategy, roadmap, and lifecycle of business-facing data and AI products, from opportunity identification through deployment, adoption, and value realization. Establish and govern enterprise KPI definitions, semantic models, ontology frameworks, and metric standards that ensure consistent, trusted insights across reporting, analytics, and AI solutions. Drive AI-powered decision-making by enabling conversational analytics, natural language querying, AI-generated insights, alerts, and recommendations that reduce manual reporting and accelerate action. Champion data governance, quality, reconciliation, and standardization practices to ensure trusted metrics, explainable AI outputs, and reusable data assets across enterprise platforms. Lead business enablement and change management efforts by developing adoption strategies, training users, fostering self-service analytics capabilities, and serving as the primary bridge between business stakeholders and technical teams.

What Are We Looking For
  • Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Computer Science, or a related field.
  • Advanced degrees, industry certifications, Databricks expertise, experience with generative AI and conversational analytics, and backgrounds in industrial or asset-intensive industries are preferred.
  • 5+ years of experience in analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines, with a strong track record of delivering business value.
  • 3+ years of experience leading cross-functional initiatives involving business stakeholders, data engineering teams, analytics platforms, enterprise reporting, or data transformation programs.
  • Strong understanding of modern enterprise analytics and data platforms; experience with Databricks is strongly preferred, while experience with Snowflake, Microsoft Fabric, Azure data platforms, or similar ecosystems is also valued.
  • Demonstrated ability to translate business priorities into scalable data products, governed metrics, semantic models, dashboards, applications, and AI-enabled solutions.
  • Experience designing and governing KPIs, metric definitions, business glossaries, semantic layers, and reusable reporting frameworks that support consistent decision-making.
  • Exceptional stakeholder management, executive communication, facilitation, and data storytelling skills, with the ability to influence without direct authority and drive alignment across business and technical teams.
Work Environment

Hybrid office environment with opportunities to collaborate across multiple business functions and locations. Fast-paced, innovative setting focused on continuous improvement and operational excellence. Occasional travel may be required to support business initiatives, stakeholder engagement, and project implementation.

What We Offer
  • Competitive base salary
  • 401(k) retirement savings plan with an automatic company contribution as well as matching contributions
  • Highly competitive benefits programs, including:
  • Medical, Dental, and Vision
  • Prescription Drug Benefits
  • Health Saving Savings Account (HSA)
  • Health Reimbursement Account (HRA)
  • Flexible Spending Account (FSA)
  • AD&D
  • Short- and Long-Term Disability Coverage
  • Basic Life Insurance Paid Bonding Leave
  • 15 days of Paid Vacation
  • 40 hours of Paid Sick Leave
  • 10 Paid Holidays

Equal Opportunity Employer - Minority / Female / Veteran / Disabled

Zukunft gestalten, Erfolge bauen Heidelberg Materials – dein Sprungbrett in die Zukunft der Baustoffindustrie. Als weltweit führendes Unternehmen der Baubranche stellen wir eines der meistgenutzten Produkte her und ebenen dadurch nicht nur den Weg hin zu einer nachhaltigeren Produktion, sondern auch für deine persönliche Erfolgsgeschichte. Unser mutiger und innovativer Ansatz setzt auf massive CO2-Reduzierung, effiziente Recyclingtechnologien und digitale Lösungen – wir setzen Maßstäbe, die die Branche neu definieren. In unserer global vernetzten und regional verwurzelten Gemeinschaft haben deine Ideen die Kraft, den Menschen von morgen ein Leben von morgen zu ermöglichen. Bei uns gestaltest du nicht nur die Zukunft der Branche, sondern auch deine eigene. Packen wir’s an! Heidelberg Materials ist einer der weltweit größten integrierten Hersteller von Baustoffen und -lösungen mit führenden Marktpositionen bei Zement, Zuschlagstoffen und Transportbeton. Wir sind mit mehr als 51.000 Beschäftigten an fast 3.000 Standorten in über 50 Ländern vertreten. Im Mittelpunkt unseres Handelns steht die Verantwortung für die Umwelt. Als Vorreiter auf dem Weg zur CO2-Neutralität und Kreislaufwirtschaft in der Baustoffindustrie arbeiten wir an nachhaltigen Baustoffen und Lösungen für die Zukunft. Unseren Kunden erschließen wir neue Möglichkeiten durch Digitalisierung.

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