Business Rule Architect- Drools Expert | Remote | US Shifts

Job Title:

Location:

About the Role:

We are seeking a highly experienced Business Rule Architect with a minimum of 12+ years of hands-on experience in Drools (JBoss Rules) to join us on a contract, freelance, or advisory basis. The ideal candidate will have a strong background in rule engine architecture, excellent technical and communication skills, and a proven track record of delivering scalable, maintainable rule-based systems.

Experience working on AI products or projects will be considered a strong plus, as we are building rule-based components that complement our AI-driven decision platforms.

Key Responsibilities:

• Architect and implement business rule solutions using

  Drools / Red Hat Decision Manager

  .
• Collaborate with business stakeholders and analysts to gather and translate requirements into Drools rule sets.
• Design and document rule lifecycle management, governance, and best practices.
• Optimize rule performance and manage large-scale, dynamic rule systems.
• Provide hands-on development support, as well as advisory input on best practices and architecture.
• Mentor internal teams and assist with knowledge transfer related to Drools and decision automation.
• Ensure seamless integration of Drools with other enterprise and AI systems.

Required Skills & Experience:

• 12+ years of experience

  working with

  Drools

  , with deep expertise in:
• Drools Rule Language (DRL), decision tables, DSLs
• Rule engine internals (agenda groups, salience, activation groups)
• KIE Workbench or Red Hat Decision Manager
• Strong Java background and experience integrating Drools with enterprise Java applications.
• Experience in end-to-end architecture and implementation of rule-based systems.
• Solid understanding of business rules modeling, validation, and testing.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience working on AI-powered products or decision-support systems, especially where rules and AI models interact.
• Familiarity with BPM tools such as jBPM, Camunda, or similar platforms.
• Exposure to containerized or cloud-based deployments (e.g., Docker, Kubernetes).
• Consulting or advisory experience with enterprise clients.
• Industry experience in finance, insurance, or healthcare is a plus.