Kofax Developer

About the Role We are seeking a skilled Kofax Developer to join our team and contribute expertise in intelligent document processing, automation, and integration. The ideal candidate will have a strong background in Kofax development, experience working with structured and unstructured documents, and the ability to integrate with platforms such as Amazon Web Services (AWS), Tungsten, and Box AI. Exposure to or hands‑on experience with Generative AI technologies will be considered a strong plus. Key Responsibilities Design, develop, and maintain document automation solutions using Kofax. Build and optimize workflows for structured and unstructured document processing. Integrate Kofax solutions with external systems including AWS, Tungsten, and Box AI. Troubleshoot, debug, and enhance existing automation processes to ensure smooth operations. Collaborate with cross‑functional teams, including architects, analysts, and business users, to gather requirements and deliver robust solutions. Stay updated with emerging technologies, particularly in AI and Generative AI, and recommend ways to enhance automation capabilities. Ensure compliance with best practices, security, and performance standards. Required Qualifications 4+ years of professional experience as a Kofax Developer, with strong proficiency in configuring, customizing, and deploying Kofax solutions. Hands‑on experience with document capture, classification, and extraction for structured and unstructured data. Proficiency in working with AWS (Amazon Web Services) and cloud-based integrations. Experience integrating Kofax with Tungsten and Box AI platforms. Strong understanding of APIs, scripting, and workflow configuration. Excellent problem‑solving, communication, and collaboration skills. Preferred Qualifications Recent experience with Generative AI or AI-driven automation. Knowledge of additional Intelligent Automation platforms (e.g., UIPath, BluePrism, Automation Anywhere). Familiarity with agile methodologies and CI/CD processes for automation deployments. #J-18808-Ljbffr MDAEdge