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Explainable Ai Jobs in Delaware (NOW HIRING)

Explainable Ai information

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

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 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 popular job titles related to Explainable Ai jobs in Delaware? For Explainable Ai jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Explainable Ai jobs in Delaware look for? The top searched job categories for Explainable Ai jobs in Delaware are:
What cities in Delaware are hiring for Explainable Ai jobs? Cities in Delaware with the most Explainable Ai job openings:
Lead Product Software Engineer - AI

Lead Product Software Engineer - AI

Wolters Kluwer

Dover, DE

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies


Job description

Wolters Kluwer Tax& Accounting team is looking for a Lead Software Engineer to build the next generation of AI-powered capabilities for our cloud audit solutions. You will build AI -powered audit solutions that help professionals analyze complex documents, interpret rules, detect exceptions and generate explainable findings.

Our team operates with close collaboration between engineers, product managers, UX designers, and researchers. Engineers deeply understand business problems, product managers rapidly prototype ideas, and designers and researchers translate user needs into elegant, evidence-based solutions. We work in fast feedback cycles, obsess over customer value, and blur traditional role boundaries to focus on solving the right problems. We practice Agile and XP methodologies with weekly sprints, BDD/TDD practices, and pair programming with daily rotation to support high team cohesion and knowledge sharing.

This role is ideal for someone who adapts quickly to new technologies, communicates effectively across teams, thrives in collaborative environments, and is passionate about human-centric AI solutions that deliver real value to professionals.

Key Responsibilities:

Build AI Agent Systems: Design and implement task-focused AI agents that assist thousands of professional's audit work. Building Document understanding and structured-data extraction systems. Leading production-grade AI services and shipping working capabilities quickly and iterating with Product & customer teams.

Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments.

Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability.

Close Collaboration: Work in Audit's collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas.

Requirements:

Technical Foundation:

  • Bachelors Degree in Computer Science or Equivalent

  • 5+ years building software applications (experience with Python, Java or C++)

  • 1+ years hands-on experience with LLMs or AI systems (NLP preferred)

  • Full-stack development capabilities

  • Experience with Agile/XP practices including TDD/BDD and pair programming

  • Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)

  • Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow

Technical Project Leadership:

  • 3+ years leading complex technical projects from inception to delivery

  • Experience working in startup-like environments or innovation teams

  • Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries

AI/ML Experience:

  • Working knowledge of AI/ML frameworks (LangChain, Langgraph, Hugging Face, OpenAI APIs)

  • Experience with vector databases and embeddings

  • Understanding of prompt engineering and AI optimization

Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.

Preferred Qualifications:

Microsoft Azure AI-102 certification is highly desired or able to get certified in first 30 days - our team is 100% certified and we value this demonstration of Azure AI expertise

  • Experience with Azure AI services, advanced AI frameworks, or multi-modal AI systems

  • Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery

  • Experience with document processing, financial data analysis, or B2B professional software

  • Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments

We encourage applications from candidates with diverse backgrounds who have strong technical skills, project leadership experience, and can adapt quickly to new challenges in a customer-focused, innovation-driven environment.

Our Culture:

At Wolters Kluwer, our core values-Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team-guide everything we do. We are committed to driving success for our customers by delivering innovative solutions that exceed expectations. We continually strive to improve our processes and products, aiming for excellence in all our efforts. Collaboration and teamwork are central to our culture, enabling us to achieve great results together.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$116,400.00 - $204,100.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information :

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


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