Lead Product Software Architect — AI & Data

Wolters Kluwer - Financial Services Solutions; Hoevelaken; Hybrid; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model (up to 2 office days

Competitive salary

25 vacation days

Pension contribution

Lunch and refreshments

Job summary

Wolters Kluwer is building AI-powered capabilities directly into customer-delivered software, turning data estates into AI-ready platforms while ensuring reliability, governance, security, and scalable production deployment.

As Lead Product Software Architect, you will own the AI + Data reference architecture, modernize data estates, and drive MLOps practices, governance, and secure-by-design patterns across product teams in a hybrid, fast-paced environment.

Qualifications

• 8–12+ years building and evolving complex software products (SaaS/distributed systems required).
• Proven experience integrating AI/ML or GenAI into customer-facing software and shipping to production.
• Hands-on experience modernizing data estates: data modeling, integration, pipelines, lineage, scalable storage/compute patterns.
• Experience designing secure AI systems (threat modeling for prompt injection/data leakage, model supply chain controls).
• Strong understanding of modern data architecture concepts: governance, data products/contracts, event‑driven/streaming where needed.
• Practical DataOps/MLOps understanding: environments, CI/CD, promotion gates, drift detection, monitoring.
• Ability to write and maintain high‑quality architecture artifacts: blueprints, ADRs, specs.

Responsibilities

• Architect AI-enabled product capabilities (customer-facing) and define integration patterns between product services, data systems, and AI components.
• Modernize the data estate to be AI-ready with lakehouse/data mesh patterns and canonical models.
• Operationalize AI (MLOps/LLMOps) with reusable patterns for feature stores, model registries, and experiment tracking.
• Embed governance, privacy, and security controls into the AI/data lifecycle in collaboration with Security/Legal.
• Provide engineering leadership, guiding teams and communicating tradeoffs clearly with stakeholders.

Skills

Architectural leadership

AI/ML integration

Data estate modernization

Secure AI design

Data architecture concepts

DataOps/MLOps

Engineering leadership

Job description

R0055258 Lead Product Software Architect — AI & Data

Wolters Kluwer delivers expert solutions that combine deep domain knowledge with advanced technology, enabling professionals to make better decisions, stay compliant with complex regulations, and improve outcomes. Its portfolio spans industries such as Health, Tax & Accounting, Governance, Risk & Compliance (GRC), and Legal & Regulatory. Innovation, digital transformation, and responsible business practices are core to Wolters Kluwer’s long-term strategy. Twinfield, part of Wolters Kluwer, is a cloud-based accounting software solution designed for businesses and accounting professionals. It streamlines financial administration by automating bookkeeping, invoicing, cash flow management, and reporting in real time. Twinfield is known for its strong compliance capabilities, security, and integration options, making it well suited for SMEs, international organizations, and accounting firms. You will be part of the ‘Tech B.V.’ team, which focuses on development, service and delivery of technology solutions that support Twinfield’s digital products and services.

Why this role exists

We’re building AI-powered capabilities directly into customer-delivered software — not demos, not labs. This role owns the architecture that turns our data estate into an AI-ready product platform and makes AI features reliable, governable, secure, and scalable in production. You’ll lead the modernization of our product data estate (schemas, pipelines, contracts, governance, and access patterns) so we can ship AI/ML and GenAI capabilities quickly and safely.

What you’ll own (outcomes)

• A clear AI + Data reference architecture that product teams can execute without heroics: from ingestion → curation → feature/embedding layers → serving → monitoring.
• A modernized data estate that supports rapid iteration: schema evolution, lineage, quality gates, and scalable access patterns (batch + real-time/event-driven where needed).
• AI capabilities that are production-grade: measurable quality, observable, performant, fully automated deployments, governance, and cost-optimized.

What you’ll do (Responsibilities)

1. Architect AI-enabled product capabilities (customer-facing) Translate business goals and product requirements into end-to-end architecture for AI features (e.g. predictive ML, recommendations, GenAI, agentic workflows). Define integration patterns between product services, data systems, and AI components (APIs, including MCP/A2A, ARG, events, model/agent serving, evaluation harnesses). Evaluate NFR tradeoffs and ensure delivery adherence (e.g. latency, cost, security, resiliency, and maintainability).
2. Modernize the data estate to be AI-ready Lead modernization of legacy data estates into a governed, scalable architecture (lakehouse/data mesh patterns, curated layers, data products, and contracts). Drive improvements in data quality, lineage, metadata, and discoverability — treat data pipelines as software (versioning, testing, CI/CD). Establish canonical models/semantic patterns that support analytics and AI/ML workloads (features/embeddings, training/serving parity).
3. Operationalize AI (MLOps/LLMOps) the “paved road” way Define standards and reusable patterns for: feature stores, model registries, experiment tracking, promotion workflows, drift monitoring, and retraining. Build reference implementations and enable teams to ship features repeatedly — moving from PoC to governed production delivery. Own architectural testing/validation practices for AI components: quality, robustness, security, and performance.
4. Make it safe: governance, privacy, security, compliance Embed responsible AI and governance controls into the lifecycle: auditability, transparency, bias/risk considerations, and secure-by-design patterns. Partner with Security/Privacy/Legal to ensure our AI and data systems meet obligations without killing delivery velocity.
5. Lead through influence (engineering leadership) Act as a technical leader and mentor: clarify direction, unblock teams, and raise the architecture/engineering bar through reviews, guidance, and coaching. Communicate complex tradeoffs clearly — influence product, engineering, and leadership stakeholders with pragmatic options and crisp decisions.

What you’ll bring (Minimum qualifications)

• 8–12+ years building and evolving complex software products (SaaS/distributed systems required), including architectural leadership.
• Proven experience integrating AI/ML or GenAI into customer-facing software (not just internal analytics) — shipping to production with monitoring and operations.
• Hands‑on experience modernizing data estates: data modeling, integration, pipelines, lineage, and scalable storage/compute patterns.
• Experience designing secure AI systems (threat modeling for prompt injection/data leakage, model supply chain controls, etc.).
• Strong understanding of modern data architecture concepts: curated layers, governance, data products/contracts, and event‑driven/streaming where needed.
• Practical DataOps/MLOps understanding: environments, CI/CD, promotion gates, drift detection, rollback/incident patterns, and operational monitoring.
• Ability to write and maintain high‑quality architecture artifacts: blueprints, specs, ADRs, and reference implementations that teams actually use.

Nice-to-have (Strong differentiators)

• Experience with lakehouse/data mesh transformations at scale and implementing strong governance/catalog patterns.

Our offer

• 36-40 hour working week with flexible working hours
• Hybrid working model (up to 2 office days per week)
• Competitive salary aligned with senior-level responsibility
• 25 vacation days (based on 40 hours)
• 50% pension contribution reimbursed by Wolters Kluwer
• Informal, collaborative working environment with regular events
• Daily lunch buffet (provided by company), fresh fruit, and great coffee

We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong.

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes.

For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook.

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As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being. That commitment has been recognized externally through Ragan’s Top Places to Work for Employee Well-being: Large Organization in 2024. More recently, Wolters Kluwer was recognized by Forbes as one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women.

To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

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