IDP Engineer - Tungsten & AI Document Automation

U.S. Bank

San Francisco (CA)

Hybrid

USD 105,000 - 124,000

Full time

14 days+

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Benefits offered by this job

Healthcare
Life insurance
Disability insurance
Parental leave
401(k)

Job summary

U.S. Bank is seeking a Tungsten Intelligent Document Processing Engineer to join the IDP organization.

The role focuses on designing, developing, and supporting IDP solutions that automate the handling of complex documents using Tungsten, C#/.NET, SQL, and Azure. The ideal candidate will work with business stakeholders to translate requirements into scalable applications and will apply AI/ML capabilities to enterprise document workflows, contributing to AI-driven automation initiatives across

Qualifications

  • Hands-on Tungsten/IDP development experience required.
  • Strong C#/.NET and SQL development skills.
  • 3+ years Tungsten/IDP experience.

Responsibilities

  • Design, develop, and support IDP solutions using Tungsten/Kofax or similar.
  • Develop and maintain applications using C#/.NET and SQL.
  • Build solutions focused on document extraction, classification, workflow automation, and process optimization.
  • Integrate AI/ML capabilities into enterprise business applications.
  • Collaborate with business stakeholders to gather requirements and translate needs into technical solutions.
  • Support production applications, troubleshoot issues, and drive continuous improvement initiatives.

Skills

Tungsten/Kofax
C#/.NET
SQL
IDP solutions
Azure
AI/ML integration
Production-grade engineering
Stakeholder collaboration

Job description

U.S. Bank is seeking a Tungsten Intelligent Document Processing Engineer to join the IDP organization.

The role focuses on designing, developing, and supporting IDP solutions that automate the handling of complex documents using Tungsten, C#/.NET, SQL, and Azure. The ideal candidate will work with business stakeholders to translate requirements into scalable applications and will apply AI/ML capabilities to enterprise document workflows, contributing to AI-driven automation initiatives across

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