Principal AI Engineer

About this role: Wells Fargo is seeking a Principal Engineer to join our AI Platforms and Enterprise Execution Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com. This role focuses on designing and delivering enterprise‑scale strategic initiatives in reusable AI patterns that deliver business and customer value. This is a hands‑on, business facing, Principal Engineer role for a technical leader who designs, builds, and scales AI‑driven platforms, while operating at enterprise scope. The Principal Engineer serves as a technical authority who codes, prototypes, and reviews architecture, not just oversees execution In this role, you will: Act as a trusted advisor to business and technology executives, influencing enterprise strategy and guiding the development of applications, platforms, security, data, and AI capabilities that address complex business challenges and create measurable customer and business value. Lead the strategy, architecture, and delivery of enterprise-scale AI, cloud, and modernization initiatives by partnering with business leaders to identify opportunities, shape use cases, and translate emerging technologies into practical business outcomes. Translate enterprise business objectives, customer needs, and operational challenges into scalable engineering solutions, including reusable architectures, AI-enabled platforms, and production-grade capabilities that accelerate adoption across the organization. Partner directly with senior executives, product leaders, and engineering teams to evaluate strategic priorities, define AI roadmaps, establish success metrics, and communicate technical opportunities, tradeoffs, risks, and implementation strategies. Maintain deep awareness of industry trends, emerging technologies, and advances in AI, proactively identifying innovations that improve productivity, decision-making, customer experiences, operational efficiency, and competitive advantage. Mobilize and influence large-scale, cross-functional initiatives by aligning business and technology stakeholders, resolving complex challenges, and serving as the senior technical authority for critical platform, data, and AI decisions. Drive AI opportunity discovery and executive ideation sessions, helping business leaders identify, prioritize, and mature high-value use cases while establishing clear business outcomes, investment rationale, and adoption strategies.

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 senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems 4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication 3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon 3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling Desired Qualifications: Experience leading technology strategy and delivery within agile product operating models in large, complex enterprises, including cloud-native platforms and modern software engineering practices. Financial services experience preferred; Business Banking domain experience is beneficial but not required Demonstrated ability to mentor and influence senior technical talent, establish engineering standards, and elevate architecture and delivery practices across multiple teams and organizations. Proven ability to engage and influence senior business executives, translating strategic priorities and operational challenges into high-impact AI use cases, technology