Principal Product Software Engineer - AI

Wolters Kluwer•Austin, TX

About The Position

Wolters Kluwer Tax & Accounting team is looking for a Principal 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 a Principal Engineer with strong experience building AI agents, document intelligence systems and production-grade AI workflows and has experience with taking AI products from concept to production (0->1) . 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. 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.

Requirements

Technical Foundation: Bachelor Degree in Computer Science or Equivalent
9+ years building software applications (experience with Python, Java or C++)
3+ 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: 6+ 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.

Nice To Haves

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, Azure AI Document Intelligence, 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

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.