Wells Fargo Lead Software Engineer Internal Generative AI Applications 

United States, California 

91196729

In this role, you will:

• Build systems involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementationfor use withLarge Language Models (LLM) that support powerful generative AI capabilities for internal Wells Fargo users.
• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience with C#
• 5+ years of experience with complex SQL and database development
• 5+ years of experience with API gateway integrations and orchestratingdata movement andworkflows across systems.
• 5+ years of experience architecting, developing,publishing,and consuming APIs
• 5+ years of experience with Test Driven Development (TDD), Unit Testing, integration testing, API testing, Performance Testing, and Functional testing
• 2+ years of experience with generative AI technologies, large language modeling (LLM), including retrieval-augmented generation (RAG) and agentic workflows.

Desired Qualifications:

• Experience in backend application software development, with ability to quickly adapt to C# and Python code bases.
• Extensive experience working withdiversedata sets and source dataformats andstructures.
• Experience working within an Agile environment
• Familiarity with building solutions that prioritize end-user satisfaction and usability.
• Proven ability to design and implement reliable data ingestion pipelines.
• Proficiency in test-driven development practices.
• Strong understanding of cybersecurity principles and risk management within software development.
• Excellent collaboration, communication, and problem-solving skills.

Job Expectations:

• Be Humble: You're smart yet always interested in learning from others.
• Work Transparently: You always deal in an honest, direct, and transparent way.
• Take Ownership: You embrace responsibility and find joy in having the answers.
• Learn More: You regularly self-educate and improve your skill set.
• Show Gratitude: You show appreciation and respect to those you work with.
• This position is not eligible for Visa sponsorship
• This position offers a hybrid work schedule
• Must be able to work on-site at any of the listed locations
• Relocation assistance is not available for this position

1302 El Camino Real, MENLO PARK, California 94025

300 S Brevard St., CHARLOTTE, North Carolina 28202

2600 S Price Rd., CHANDLER, Arizona 85286

150 East 42nd Street, New York, New York 10017

Position Pay Range:

New York City, New York $133,300 - $237,100

• 3+ days per week in office
• 10% travel to support business objectives

Pay Range

$111,100.00 - $237,100.00

10 Apr 2025

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.