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Wells Fargo is seeking a Principal Engineer for Digital Technology & Innovation team. 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.
Job Responsibility:
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
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 MicroFrontends
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 shape AI-enabled banking capabilities
Mentor senior engineers and elevate engineering rigor across the organization
You will solve hard engineering problems inside regulated, mission-critical environments
You will influence AI platform direction at scale and build durable systems — not prototypes
Requirements:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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