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Lead Product Software Engineer - AI

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Wolters Kluwer N.V.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Lead Product Software Engineer - AI page is loaded## Lead Product Software Engineer - AIremote type:
Hybrid (8 days/month) time type:
Full time posted on:
Posted Todayjob requisition :
R0052501

We're looking for a Lead Product Software Engineer - AI to join Innovate Hub, our startup-within-the-enterprise that co-designs AI solutions with customers across Wolters Kluwer's Tax and Accounting product portfolio. You'll develop cutting-edge AI features that transform how accounting professionals work, focusing on real customer problems rather than technology-first solutions.

Innovate Hub 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:

**** Customer-Centric Product Development:
** Co-design AI solutions with customers, focusing on real problems rather than technology-first approaches. Build human-centric AI features that deliver measurable value in fast feedback cycles.
** 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 Innovate Hub'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:
*** 5+ years building software applications (experience with
** Python**, JavaScript/Type Script preferred)
* 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 (Git Hub 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** (Lang Chain, 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** - 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
* Experience with
** RAG…
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