Principal Engineer (AI) for Database Technology

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: 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 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: 7+ years of overall technology experience in software engineering, enterprise architecture, platform engineering, database technology, machine learning, or AI-led transformation roles. 7+ years of experience in architecture and technical leadership, including defining technology strategy, target-state architecture, roadmaps, standards, and reusable engineering patterns for large enterprise platforms. 3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation, including architecting and delivering production-grade AI solutions that create measurable business value with integrations to enterprise approved AI tooling Strong expertise in Generative AI, Agentic AI, Machine Learning, LLM-based applications, RAG architectures, AI agents, knowledge systems, prompt engineering, model evaluation, and intelligent workflow automation. Proven experience designing and delivering enterprise-scale AI platforms and services, including reusable APIs, orchestration frameworks, developer toolkits, reference architectures, and common capabilities that accelerate adoption across teams. Deep understanding of cloud-native architecture, distributed systems, data platforms, API design, microservices, observability, scalability, reliability, and production deployment practices. Demonstrated experience partnering with executive leadership, business stakeholders, CIO organizations, architects, engineering teams, cybersecurity, risk, compliance, and governance partners to shape AI strategy and drive enterprise transformation. Strong knowledge of AI governance, responsible AI, model risk management, privacy, security, regulatory compliance, ethical AI principles, data protection, and operational risk controls. Experience evaluating and adopting modern AI technologies, frameworks, platforms, and vendors, including supporting build-vs-buy decisions, technology rationalization, cost optimization, scalability assessment, and total cost of ownership analysis. Ability to lead large, complex, cross-functional initiatives involving cloud platforms, data engineering, cybersecurity, enterprise applications, AI services, and automation platforms. Demonstrated ability to serve as a senior technical authority, providing architecture governance, design reviews, engineering guidance, mentoring, and thought leadership to senior engineers and architects. Excellent communication, influencing, and storytelling skills with the ability to