Jobs at Wolters Kluwer

The Senior Product Software Engineer will design and maintain Generative AI applications, optimize LLM usage, and build multi-agent systems with a focus on security and scalability.

Seeking a Senior Software Developer with expertise in Generative AI and Agentic Workflow development, responsible for building multi-agent AI systems and cloud-native solutions.

Design, build, and maintain production-grade Generative AI applications and agentic workflows using LLMs, RAG, embeddings, and vector search. Architect cloud-native, scalable solutions (.NET backend, modern front-end), implement security, monitoring, cost optimization, CI/CD, and mentor junior engineers while collaborating with product and domain teams.

Design, build, and maintain scalable Microsoft Fabric and Azure-based data platforms, ETL/ELT pipelines, lakehouse and data warehouse architectures. Implement orchestration, monitoring, data quality, CI/CD, and support analytics, AI, and production operations while following Specification-Driven Development practices.

Provide first-line IT operations support: install, configure, and maintain hardware and software; monitor systems; assist with backups and restores; support application and database servers; document troubleshooting; follow security and update protocols; and provide basic end-user support.

The UI Architect role involves designing and managing UI solutions, collaborating with stakeholders, ensuring compliance, and guiding best practices over 15 years of experience.

Manage the operational lifecycle of enterprise applications, ensuring reliability and availability while collaborating with various teams for performance tuning and incident management.

Lead technical delivery and operations for JD Edwards EnterpriseOne, IBM integration, cloud architecture, and AI adoption. Hands-on responsibilities include JDE development, CNC administration, Oracle DBA tasks, IIB/MQ integration, cloud migrations, IaC/automation, CI/CD, performance tuning, DR/BCP, and managing a cross-functional engineering team while driving DevOps practices and stakeholder alignment.

Design, build, and operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.