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Wells Fargo · 21 hours ago

Lead Specialty Software Engineer - AI Tuning

109528-TX-Riverside Commons Bldg 5 & 6

Full-time

Hybrid

Senior Level, Lead/Staff

5+ years exp

Wells Fargo is a financial services company seeking a Lead Specialty Software Engineer focused on AI Tuning. The role involves reviewing and validating column classifications, collaborating with compliance teams, and ensuring adherence to organizational policies and data governance standards.

BankingFinancial ServicesFinTechInsurancePayments

No H1B

Responsibilities

Use Securiti’s AI Tuning interface to review and validate column classifications

Apply feedback to reference columns and propagate updates across similar columns using impact zones

Adjust similarity thresholds (header/content) to refine classification scope

Ensure classification changes align with organizational policies and compliance requirements (GDPR, HIPAA)

Understand banking data structures across consumer, commercial, and investment lines of business

Interpret data elements (e.g., account numbers, credit card details, transaction codes) for accurate classification

Collaborate with compliance and data governance teams to ensure regulatory adherence

Monitor AI Tuning History and analytics dashboards to track precision, recall, and tuning impact

Identify patterns in misclassification and recommend improvements for future scans

Validate updates in the Validation Workbench and ensure consistency across structured data insights policies

Confirm prerequisites for AI Tuning (PCS, Vector Storage, sync states) are operational

Collaborate with technical teams to troubleshoot sync issues and maintain system health

Ensure classification feedback is applied within organizational scope and documented for audits

Qualification

Specialty Software EngineeringData AnalysisCompliance FrameworksMLOps PipelinesCloud EnvironmentsThreat ModelingRisk AssessmentAnalytical MindsetCollaboration SkillsCommunication Skills

Required

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Understanding of header/content similarity concepts and their role in column grouping

Ability to interpret impact zones and semantic relationships between columns

Strong experience in analyzing large datasets and identifying patterns

Ability to interpret dashboards and metrics (precision, recall, false positives)

Familiarity with compliance frameworks (GDPR, HIPAA) and enterprise data governance

Ability to analyze dashboards and interpret precision/recall metrics

Basic understanding of system configuration (PCS, Vector Storage) and sync processes

Ability to coordinate with technical teams for troubleshooting ElasticSearch/OpenSearch setups