Principal Engineer – ICMP & IDOCS Platform Solution Lead (Enterprise Content Management, Java Platform Engineering & AI-Enabled Document Services)

About this role: Wells Fargo is seeking a Principal Engineer within Digital Technology & Innovation supporting the Imaging Content Management Platform (ICMP) and Intelligent Document Services (IDOCS). ICMP is one of the enterprise's most critical technology platforms, providing document management, imaging, content services, storage, retention, archival, retrieval, and governance capabilities supporting lines of business across Wells Fargo. The platform manages over 50 billion documents and serves as a foundational enterprise service for customer, operational, regulatory, and risk management processes. This role will serve as the senior technical leader responsible for defining and executing the long-term architecture, engineering strategy, modernization roadmap, and technical standards for ICMP and IDOCS. The Principal Engineer will lead highly scalable, secure, resilient, and compliant content management solutions while advancing intelligent document processing, automation, and AI capabilities across the enterprise. The ideal candidate is a deeply hands-on technologist with extensive experience in enterprise Java development, distributed systems, content management platforms, cloud-native architectures, and large-scale technology modernization. This individual will combine strong platform engineering expertise with strategic leadership to evolve Wells Fargo's next-generation content and document services ecosystem. In this role, you will provide: Enterprise Architecture & Platform Leadership Define and evolve the enterprise architecture vision and technology strategy for ICMP and IDOCS. Lead the design and implementation of highly scalable content management, document processing, and enterprise content service solutions. Establish architecture standards, engineering principles, and technology roadmaps for enterprise document repositories, content lifecycle management, storage, retention, governance, search, and retrieval capabilities. Lead modernization efforts across ICMP platforms, reducing technical debt while improving reliability, scalability, observability, and operational efficiency. Serve as the principal technical advisor to executive leadership for strategic technology investments and modernization initiatives.   Engineering Excellence Remain deeply hands-on in architecture, design reviews, proof-of-concepts, and critical platform development activities. Lead complex enterprise engineering initiatives spanning multiple organizations and technology domains. Drive engineering rigor through automation, testing, performance optimization, observability, resiliency, and secure coding practices. Establish standards and best practices for Java platform engineering, microservices architecture, cloud-native solutions, and distributed systems. Define enterprise integration patterns using APIs, event-driven architectures, and shared platform services.   Content Management & Document Services Lead engineering strategy for enterprise-scale document ingestion, capture, indexing, storage, retrieval, archival, records management, and disposition capabilities. Establish architecture standards for document lifecycle management, metadata management, content governance, and records retention. Drive continuous improvement of enterprise content services supporting both business and regulatory requirements. Partner with cybersecurity, legal, compliance, risk, and operational stakeholders to ensure content management solutions meet enterprise governance standards.   AI & Intelligent Document Services Drive intelligent document processing initiatives leveraging machine learning, AI, and Generative AI technologies. Lead the architecture of AI-enabled document classification, extraction, validation, enrichment, and workflow automation capabilities within IDOCS. Define enterprise patterns for integrating AI capabilities into content management and document processing platforms. Evaluate and implement emerging AI technologies in a