Principal Software Engineer, Internal Generative AI Applications Enterprise Functions Technology

About this role: 

At Wells Fargo, we value you for who you are and the potential you possess. Our innovative approach to work empowers individuals nationwide to express themselves, excel, and take bold steps. Recognizing each person's uniqueness brings out their utmost capabilities. Join us at Wells Fargo, where we strive to bring out your best by giving you ours in return.

Wells Fargo is looking for a Principal Software Engineer to spearhead the creation of backend systems for generative AI applications within Enterprise Functions Technology (EFT). The role emphasizes crafting scalable, secure, and dependable systems to drive innovative tools for Wells Fargo's workforce. The ideal fit is a technical guru who prioritizes collaboration, cybersecurity, and ensuring user contentment.

 
In this role, you will: 

• Build systems that integrate with Large Language Models (LLM) and Vector Databases that support powerful generative AI capabilities for internal Wells Fargo users, involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. 

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups 

• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking 

• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions 

• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions 

• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization 

• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership 

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Required Qualifications: 

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

Desired Qualifications: 

• 2+ years of experience with generative AI technologies, large language modeling (LLM), including retrieval-augmented generation (RAG) and agentic workflows.

• Deep experience with backend application software development, with ability to quickly adapt to C# and Python code bases. 

• Experience working in large-scale enterprise environments, preferably in the financial services industry. 

• Familiarity with generative AI concepts such as Retrieval-Augmented Generation (RAG) and agentic workflows. 

• Ability to design and manage databases and SQL to enable efficient data storage and retrieval. 

• Familiarity with API gateways that support seamless communication between systems. 

• Experience building reliable data ingestion pipelines that support secure and efficient data processing. 

• Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations. 

• Experience with test-driven development (TDD) methodologies to deliver high-quality, maintainable software. 

• Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs. 

• A strong focus on cybersecurity and risk management throughout the software development lifecycle. 

• Passion for designing solutions that prioritize end-user experience and usability. 

• Strong problem-solving s