Lead Specialty Software Engineer - AI Tuning

Wells Fargo•Chandler, AZ

1d•Onsite

About The Position

Key Responsibilities Feedback-Driven Classification 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). Business Context & Data Understanding 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. Continuous Monitoring & Analytics 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. System Readiness & Governance 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. Required Qualifications: 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. Desired Qualifications: Experience with MLOps pipelines and secure deployment in cloud environments (Azure, AWS, GCP). Knowledge of threat modeling and risk assessment for AI systems. Familiarity with synthetic data generation for security testing. Job Expectations: Strong collaboration skills with security engineers, SOC analysts, and data scientists. Ability to communicate technical concepts to non-technical stakeholders. Analytical mindset with attention to security and compliance details Apply accurate feedback and prevent cascading misclassifications across thousands of columns. Monitor tuning impact and ensure compliance alignment. Maintain governance integrity and audit readiness. Onsite work 3x weekly Must be within commutable distance of posted work location No C2C No visa transfer No visa sponsorship Posting End Date: 22 Jan 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

Requirements

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.
Strong collaboration skills with security engineers, SOC analysts, and data scientists.
Ability to communicate technical concepts to non-technical stakeholders.
Analytical mindset with attention to security and compliance details
Onsite work 3x weekly
Must be within commutable distance of posted work location
No C2C
No visa transfer
No visa sponsorship

Nice To Haves

Experience with MLOps pipelines and secure deployment in cloud environments (Azure, AWS, GCP).
Knowledge of threat modeling and risk assessment for AI systems.
Familiarity with synthetic data generation for security testing.

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.
Apply accurate feedback and prevent cascading misclassifications across thousands of columns.
Monitor tuning impact and ensure compliance alignment.
Maintain governance integrity and audit readiness.