Principal Product Software Engineer | AI (CP&ESG)

Wolters Kluwer is a global leader in professional information services. Professionals in healthcare, legal, business, tax, accounting, finance, audit, risk and compliance rely on Wolters Kluwer's market-leading information-enabled tools and software solutions to manage their business efficiently and deliver results to their clients and succeed in an ever more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems. We help them get it right.

This role is part of the Advanced Technology team in the Digital eXperience Group (*/dxg), which co-creates state-of-the-art products and solutions with Wolters Kluwer businesses around the globe. Our growing array of solutions supports the expanding set of Wolters Kluwer’s Expert Solutions and online product portfolios. Within */dxg, the Advanced Technology (AT) Group serves as WK’s AI and machine learning (ML) center of excellence, integrating AI/ML into products across divisions. While focusing on large language models (LLMs), AT also applies classical ML techniques to enhance product capabilities.

This role supports WK’s Corporate Performance and ESG Division, the company’s newest and fastest-growing segment. The division delivers solutions in corporate performance, governance, and sustainability. Joining this team offers the opportunity to work on high-impact projects, shaping the future of digital solutions for professionals worldwide.

In the role of Principal AI Engineer & Applied Researcher, 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 legal firms and lawyers, corporate legal customers, 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.

Overview

We are seeking a Principal 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 Ph.D. in Computer Science, Artificial Intelligence, or a related field is preferred; however, candidates with a Master’s or Bachelor’s degree and significant professional experience in these areas will also be considered.
• 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 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.