Principal Product Software Engineer | AI Tax and Accounting

Job Description Summary:

AI Engineer & Applied Researcher

Overview

In the role of AI Engineer & Applied Researcher for our Tax, Accounting, & Audit SaaS platform, you will take early ideas and build prototypes, while experimenting with advanced technologies and platforms. You should be willing to take on challenges of unknown dimensions, and work hand in hand with tax and accounting professionals, customers, UX, and data scientists to prototype and test early concepts. You will need to have very strong technical skills, deep curiosity, business acumen, and the ability to think fast and act fast.

In this space, we are innovating and delivering production AI solutions across critical tax, accounting & audit domains, including:

• Tax and accounting expertise
• Financial document understanding
• Compliance and regulatory guidance
• Fraud detection and risk assessment
• Audit procedure automation
• Cross-functional business integration

We are seeking an AI Engineer & Applied Researcher who combines a strong scientific and engineering foundation with a  practical, solution-oriented mindset. This role focuses on building impactful AI solutions that address real-world challenges and deliver measurable value. If you are passionate about running large-scale AI experiments, designing new solutions on the cusp of what is technically possible, and building scalable and maintainable systems, we invite you to join our team.

Position Responsibilities

• Develop and Deploy AI Solutions: Design and implement reliable and high-performing code for AI products that deliver measurable business impact.
• Cross-Functional Collaboration: Work effectively with product, engineering, and subject matter experts to ensure alignment on meeting customer needs.
• Drive Innovation: Identify, evaluate, and integrate emerging AI technologies to ensure optimal solutions aligned with business value.
• Advance Research: Contribute through product innovations, published research, or intellectual property that integrates cutting-edge advancements.
• Foster Best Practices: Establish and uphold best practices in AI/ML, including rigorous testing, validation, and documentation. Mentor and guide team members to foster a culture of scientific excellence and continuous improvement.

Qualifications

You’re a fit for the role of AI Engineer & Applied Researcher if you have:

• A Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience.
• 7+ years of experience developing and deploying AI/ML systems in production.
• Proven success in translating complex customer challenges into high-quality, impactful AI solutions.
• Advanced understanding of large language models, including best practices in combining LLMs with search, enhancing with domain-specific content, and evaluation.
• Proficiency in software development, encompassing version control, testing, and CI/CD pipelines, with demonstrated expertise knowledge in cloud environments such as AWS, Azure, and GCP.
• Excellent analytical and communication skills, with the ability to convey complex technical information to cross-functional stakeholders.
• A results-driven mindset with a focus on delivering scalable, maintainable, and impactful solutions.

TRAVEL REQUIREMENTS

Domestic travel 5% to 10% of total work time

Benefits:

A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including 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 - https://www.mywolterskluwerbenefits.com/index.html 

Diversity Matters

Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmos