# Lead Product Architect at Wolters Kluwer

Wolters Kluwer is hiring a Lead Product Architect. It pays $108k-$188k a year and Level rates it Works on AI ●●●○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/71c57814-7a4c-4f80-99de-e0e1288e72bb?utm_medium=ai-agent).

AI Level 3, AI centrality 68 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 68 out of 100)
- Location: USA - Coppell, TX
- Salary: $108k-$188k
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/71c57814-7a4c-4f80-99de-e0e1288e72bb?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-product-architect-at-wolters-kluwer-8258d4

## Prepare for this job

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## Description

Role Summary The Lead Product Architect is responsible for defining and driving the technical vision, architecture strategy, and engineering direction for a portfolio of products and platforms. This role provides architectural leadership across product development, modernization initiatives, AI-enabled solutions, platform engineering, and enterprise integration efforts. The ideal candidate combines deep expertise in software architecture, cloud-native engineering, distributed systems, and AI-powered application design with a strong understanding of modern software delivery practices, including Spec-Driven Development (SDD), Agentic SDLC, AI-assisted development, and developer productivity platforms. This individual will partner closely with Product Management, Engineering Leadership, UX, Security, DevOps, Data, and Business stakeholders to deliver scalable, secure, resilient, and future-ready solutions. In addition to shaping architecture, the role will actively guide engineering teams in adopting AI-first engineering practices and modern architecture patterns that accelerate delivery while maintaining quality, security, and governance standards. Key Responsibilities Product & Solution Architecture Leadership Define and maintain end-to-end product architecture aligned with business strategy, product roadmaps, and enterprise standards. Lead architecture and design reviews across multiple product initiatives and engineering teams. Develop architectural blueprints, solution designs, reference architectures, and technical standards. Ensure systems meet requirements for scalability, reliability, performance, security, maintainability, and operational excellence. Provide oversight for architectural governance and critical technical decisions. Evaluate technology options and establish long-term technical roadmaps. AI Architecture & AI-Powered Product Engineering Design and govern architectures for AI-enabled products, intelligent workflows, agentic systems, conversational experiences, and retrieval-augmented generation (RAG) solutions. Define patterns for integrating Large Language Models (LLMs), AI agents, semantic search, vector databases, orchestration frameworks, and AI-powered business workflows. Establish architectural standards for AI safety, grounding, observability, evaluation, prompt management, and responsible AI practices. Guide teams in building AI-native applications that balance business value, reliability, security, and compliance. Evaluate emerging AI technologies and identify opportunities to enhance products, customer experiences, and engineering productivity. Support architecture and governance for enterprise AI platforms and reusable AI capabilities. Spec-Driven Development & Agentic SDLC Champion Spec-Driven Development methodologies across engineering teams. Define architecture patterns, standards, and reusable templates that enable AI-assisted software development. Partner with engineering teams to create specifications that can be consumed by AI coding agents and automation platforms. Enable Agentic SDLC practices through architectural guardrails, AI-enabled workflows, and development automation. Define standards for requirements decomposition, architecture artifacts, code generation, testing automation, and deployment workflows. Ensure AI-generated outputs align with architectural principles, quality standards, and security requirements. Technical Leadership & Modernization Lead modernization initiatives involving legacy application transformation, cloud migration, platform modernization, API strategies, and microservices adoption. Drive architectural improvements that reduce technical debt and improve engineering agility. Design and oversee implementation of cloud-native architectures and distributed systems. Collaborate with engineering teams to optimize performance, observability, reliability, and operational maturity. Guide teams on architecture patterns involving APIs, event-driven systems, integration

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