AI Tuning - Lead Software Engineer

Position Overview

Wells Fargo is seeking a professional to lead complex technology initiatives with companywide impact. In this role you will drive engineering standards, design and implement large-scale technology solutions, and collaborate with senior technical experts. Onsite required 3x weekly. Must be within commutable distance of the posted work locations. No C2C, No Visa Transfer, No Visa Sponsorship.

Compensation: $119,000.00 - $187,000.00
Reflected as the base pay range, which may vary depending on achievements, skills, experience, or work location.

Key Responsibilities

• Lead complex technology initiatives including companywide projects.
• Participate in developing standards and best practices for engineering large-scale technology solutions.
• Design, code, test, debug, and document for various projects and programs.
• Review and analyze complex, large-scale solutions in regard to tactical and strategic business objectives.
• Drive new initiatives by influencing technology teams and making decisions on standard practices.
• Collaborate with technical experts, senior teams, and external industry groups to resolve challenging technical issues.
• Lead projects and teams, or act as a peer mentor.

Required Qualifications

• 5+ years of Software Engineering experience (or equivalent through work experience, training, military service, or 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 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.
• Basic understanding of system configuration (PCS, Vector Storage) and sync processes.
• Capability to coordinate with technical teams for troubleshooting ElasticSearch/OpenSearch setups.

Preferred Qualifications

• Experience with MLOps pipelines and secure cloud deployment (Azure, AWS, GCP).
• Familiarity with synthetic data generation for security testing.
• Proficiency in Python and ML frameworks such as JSON.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life, critical illness, and accident insurance
• Parental leave and critical caregiving leave
• Discounts, commuter benefits, tuition reimbursement, and scholarships for dependent children
• Adoption reimbursement