Senior Enterprise Software Engineer -ai Operations

Wolters Kluwer N.V

Not specified; not specified; not specified
**
6-8 years of ai engineering experience
Amazon bedrock and microsoft azure ai foundry expertise
Multi-agent system architecture and deployment
** Wolters Kluwer N.V. is seeking a Senior Enterprise Software Engineer specializing in AI operations, focusing on architecting and delivering enterprise-grade AI systems using platforms like Amazon Bedrock and Microsoft Azure AI Foundry. The ideal candidate should have 6-8 years of experience and be capable of driving technical strategy, mentoring teams, and implementing advanced generative AI systems. **

Job Summary

  • This staff-level position requires an exceptional engineer to architect enterprise-grade AI systems at scale using Amazon Bedrock and Microsoft Azure AI Foundry.
  • The role involves leading critical cross-platform design decisions for multi-agent orchestration, RAG-powered knowledge systems, and LLM fine-tuning workflows.
  • Candidates will serve as a principal builder and technical authority, driving technical strategy while mentoring teams and setting engineering benchmarks for AI excellence.

Matching Summary

Match Score: 75

** Wolters Kluwer N.V. is seeking a Senior Enterprise Software Engineer specializing in AI operations, focusing on architecting and delivering enterprise-grade AI systems using platforms like Amazon Bedrock and Microsoft Azure AI Foundry. The ideal candidate should have 6-8 years of experience and be capable of driving technical strategy, mentoring teams, and implementing advanced generative AI systems. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 6-8 years of AI engineering experience
  • Amazon Bedrock and Microsoft Azure AI Foundry expertise
  • Multi-agent system architecture and deployment
  • RAG pipeline implementation with vector stores
  • Cloud-native AI infrastructure design
  • AWS CDK and Azure Bicep/Terraform proficiency

Nice-to-have

  • Experience with serverless AI services
  • Knowledge of frontier model capabilities
  • Mentorship and technical leadership skills
  • Cross-platform design decision making
  • Understanding of responsible AI frameworks

Key Requirements

  • 6-8 years of professional AI engineering experience
  • Senior or Staff-level individual contributor status
  • Proven track record in cloud-native AI architecture

Work Rights

Not specified

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