About the role

Principal Engineer responsible for technical and architectural vision for Wells Fargo's Enterprise Product and Pricing Management. Leading complex initiatives and providing expert advice throughout the organization.

Responsibilities

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 recommends 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.

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of application development background
7+ years of architect and engineering deep knowledge or experience
7+ years of experience designing LLM prompt engineering, prompt chaining, and evaluation frameworks
Previous and hands on experience with mainframe modernization to target state architectures
Ability to lead and deliver complex technical initiatives,
Experience designing with GenAI-powered applications using LLMs (OpenAI, Google Gemini, Anthropic Claude, etc.)
Familiarity with AI governance, model risk management, compliance constraints, and responsible AI practices
Excellent problem-solving skills and the ability to evaluate and resolve technical challenges
Strong collaboration and communication skills to work effectively with peers, colleagues, and cross LOB technology teams
Ability to lead and influence others and critique their work in a way that improves the overall team and the final product
Very deep skills in at least two technical domains - with ability to learn quickly for domains where you have less experience
Ability to troubleshoot and analyze performance bottlenecks
Familiarity with CI/CD pipelines, DevOps, and Agile practices
Deep understanding of non-functional requirements and systemic controls - embedded in system design and execution.