Principal Engineer - Java springboot, Gen AI, Agentic AI, LLM, RAG

About this role: Wells Fargo is seeking a Principal Engineer Wells Fargo is building next-generation GenAI-powered and API-first Open Banking platforms for Commercial and Corporate Banking. We are hiring a Principal Engineer with deep Java ecosystem expertise to architect and scale enterprise-grade AI systems operating at global banking scale. This role requires a hands-on technologist who can combine strong Java-based distributed systems engineering with modern GenAI architecture patterns in a regulated financial environment. You will own foundational platform components that integrate LLM-driven capabilities into high-throughput, mission-critical banking systems. 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: Strong hands-on expertise in Java ecosystem (Spring Boot, REST APIs, microservices, concurrency, performance tuning) and Python Proven experience designing large-scale distributed systems in production 1- 2 years of experience delivering GenAI systems, including hands-on work with: Applications powered by LLMs RAG architectures Embeddings and vector databases Agent frameworks and orchestration Experience integrating AI services into enterprise backend platforms Strong cloud-native experience (GCP, Azure) Ability to influence architectural decisions across complex systems Experience in Banking/Financial services domains (e.g. commercial or corporate, Payments, Treasury, lending, FX) Experience implementing AI governance, risk, and model validation frameworks Familiarity with event-driven architectures (Kafka or similar) Experience modernizing legacy Java systems with AI augmentation Excellent communication skills with experience engaging senior stakeholders Job Expectations: Deployment of GenAI services embedded into core Java-based banking platforms Strong alignment between AI capabilities and commercial banking product strategy Production-grade GenAI applications integrated into Java-based enterprise platforms RAG pipelines, agent orchestration layers, and AI service abstractions callable from core Java systems Secure, compliant Open Banking APIs powering high-volume enterprise clients Observability, resilience, and governance frameworks for AI-enabled services Design and implement high-performance distributed systems primarily in Java (Spring Boot, microservices architecture), ReactJS and Micro Frontends Integrate LLMs, RAG pipelines, and AI orchestration frameworks into enterprise Java systems Lead deep technical design reviews across backend, API, and AI integration layers Partner with Product and Business leaders to