Senior Tungsten TotalAgility Consultant
WonderBotzVisit WonderBotz website
Enterprise AI and automation company providing agentic process management, AI-agent implementation, and managed automation services.
Princeton, New Jersey, United States
About WonderBotz
WonderBotz LLC helps enterprises launch, modernize, and manage intelligent operations using AI agents, automation, human expertise, and governance.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, develop, and deploy Tungsten TotalAgility solutions for document capture and business-process automation. You will configure classification, extraction, validation, workflows, forms, queues, and business rules; build integrations; optimize OCR; resolve production issues; support releases; and contribute to AI and IDP initiatives.
Requirements
- 5–8+ years of overall IT experience
- 3+ years of hands-on Tungsten or Kofax TotalAgility development experience
- Tungsten TotalAgility platform expertise
- Document classification, extraction, OCR, and workflow automation experience
- Transformation Modules, Capture, and Intelligent Document Processing knowledge
- API, database, and enterprise application integration experience
- C#, .NET, JavaScript, SQL, and web services proficiency
- Software development lifecycle and Agile methodology knowledge
Responsibilities
- Design, develop, and implement Tungsten TotalAgility solutions
- Configure document classification, extraction, validation, and workflow processes
- Develop and maintain custom scripts, connectors, and enterprise integrations
- Configure OCR technologies and optimize document recognition accuracy
- Translate stakeholder requirements into technical solutions
- Design and implement workflows, forms, queues, and business rules
- Integrate TotalAgility with ERP, CRM, ECM, databases, APIs, and cloud platforms
- Troubleshoot and resolve production issues
- Participate in code reviews and follow development standards
- Support deployment, testing, enhancements, and production releases
- Contribute to AI, machine learning, and intelligent document processing initiatives
