Principal Product Software Engineer – AI – Cp&ESG
| Company | Wolters Kluwer |
|---|---|
| Location | Princeton, NJ, USA, Waltham, MA, USA, New York, NY, USA |
| Salary | $183700 – $260050 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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.
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.
Preferred Qualifications
- A Ph.D. in Computer Science, Artificial Intelligence, or a related field is preferred.