AI-Driven Product Architect — Data & Systems

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

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.