Tungsten Intelligent Document Processing Engineer
$105,400–$124,000 year
On-siteChicago, Illinois, United States or New York City, New York, United States
Job Summary
Design, develop, and support Intelligent Document Processing solutions using Tungsten/Kofax platforms, C#/.NET, and SQL technologies. Build applications focused on document extraction, classification, workflow automation, and business process optimization while integrating AI/ML capabilities into enterprise systems. Utilize Azure cloud technologies to deliver scalable solutions and collaborate directly with business stakeholders to translate requirements into technical implementations. Support production applications, troubleshoot issues, and drive continuous improvement initiatives across multiple business lines. Partner with cross-functional teams to deliver AI-driven automation solutions that enhance operational efficiency and document intelligence capabilities.
Required Qualifications
- Hands-on Tungsten (formerly Kofax) development experience
- Experience with a closely related Intelligent Document Processing platform
- Strong C#/.NET development experience
- SQL/database development experience
- Experience building and supporting Intelligent Document Processing solutions
- Experience with document extraction, classification, workflow automation, and process optimization
- Experience working with Azure technologies and cloud-based platforms
- Hands-on experience integrating AI/ML capabilities into business solutions
- Strong software engineering background with experience developing and supporting production applications
- Ability to work directly with business partners and translate requirements into technical solutions
- Approximately 3+ years of Tungsten/IDP-related experience
- Must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
Desired Qualifications
- Experience building, integrating, or supporting APIs
- Exposure to Generative AI technologies and enterprise AI use cases
- Experience designing or implementing Retrieval-Augmented Generation (RAG) solutions
- Experience with additional Intelligent Document Processing platforms
- Familiarity with IBM DataCap
- Experience with unstructured document processing and intelligent workflow automation
- Experience developing AI-driven document comparison, classification, or extraction solutions
- Experience delivering AI/ML solutions within large enterprise environments
- Knowledge of modern AI architectures and emerging automation technologies
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