Wolters Kluwer

Associate Director, Product Software Engineering – AI

Wolters Kluwer

full-time

Posted on:

Location Type: Hybrid

Location: Coppell • Illinois, Kansas, North Carolina, Texas • 🇺🇸 United States

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Salary

💰 $183,700 - $260,050 per year

Job Level

Senior

Tech Stack

AzureCloudJavaScriptPythonTypeScript

About the role

  • Lead end-to-end delivery of complex AI products from concept to production, measured in weeks not quarters.
  • Drive technical strategy for initiatives, make rapid architecture decisions, and coordinate execution across engineering teams.
  • Design and implement AI features using Python, TypeScript, and modern frameworks for document intelligence, RAG systems, and agentic platforms within CCH Axcess.
  • Lead 1-2 technical workstreams or cross-functional initiatives from concept to production.
  • Make architectural decisions balancing technical excellence with compliance requirements.
  • Mentor Lead and Senior Engineers through pair programming, code reviews, and architectural guidance.
  • Establish technical standards, reusable infrastructure, and development frameworks that accelerate team velocity.
  • Lead customer sessions for early access programs and technical validation with accounting firms.
  • Ship production-ready software through rapid feedback cycles, focusing on measurable business value.

Requirements

  • 7+ years building software applications (experience with Python, JavaScript/TypeScript preferred)
  • 1+ years hands-on experience with LLMs or AI systems (NLP preferred)
  • Full-stack development capabilities with focus on modern frameworks and cloud services
  • Experience with Agile/XP practices including TDD/BDD and pair programming
  • Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)
  • Experience with LLM platforms: LangChain, LangGraph, OpenAI APIs, Azure OpenAI
  • Experience with RAG architectures, vector databases, embeddings, and semantic search
  • Experience with MLOps practices and AI system monitoring
  • Experience building capabilities that scale beyond immediate team (training, standards, frameworks)
  • Strong mentorship capabilities and collaborative engineering culture building
  • Excellent communication – explain complex technical concepts to non-technical stakeholders and drive adoption across teams
  • Experience with AI governance and compliance frameworks for sensitive data
  • Understanding of data security, privacy regulations, and audit controls
  • Background in document processing, financial data analysis, or B2B professional software
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonTypeScriptJavaScriptAI systemsNLPfull-stack developmentAgileTDDBDDMLOps
Soft skills
mentorshipcollaborationcommunicationtechnical strategyarchitectural decision-makingcustomer engagementteam velocity improvementpair programmingcode reviewscross-functional leadership