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

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 responsible, secure, explainable, and scalable manner.
• Guide teams from proof-of-concept through production deployment of AI-powered business capabilities.

Leadership & Influence

• Mentor engineers, architects, and technical leaders across the organization.
• Provide technical vision and thought leadership across Wells Fargo's content and document technology ecosystem.
• Partner closely with product management, platform engineering, infrastructure, security, risk, and business teams.
• Influence enterprise architecture decisions and technology standards across multiple organizations.
• Foster a culture of technology innovation, engineering excellence, accountability, and continuous learning., Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

• 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 hands-on software engineering experience using Java and modern JVM technologies.
• 7+ years of experience designing and building enterprise-scale platforms, distributed systems, and mission-critical applications.
• 5+ years of hands-on experience with cloud-native platforms, containers, Kubernetes/OpenShift, and enterprise CI/CD practices., * Significant experience designing, developing, and operating enterprise content management, document management, imaging, records management, or content services platforms.
• 5+ years of experience implementing Infrastructure as Code solutions using Terraform, Crossplane, or similar technologies.
• Deep expertise in microservices architecture, RESTful APIs, event-driven systems, and service-oriented architectures.
• Experience building and operating highly available, resilient systems at enterprise scale.
• Experience with event-driven architectures utilizing Kafka or similar messaging technologies.
• Strong knowledge of information security, risk management, regulatory compliance, and enterprise architecture practices.
• Proven track record leading large-scale technology transformations with enterprise-wide impact.
• Excellent communication, collaboration, and stakeholder management skills.
• Experience with enterprise content management, imaging, workflow, capture, archive, document management, or records management platforms.
• Deep understanding of document lifecycle management, metadata management, governance, retention, archival, legal hold, and compliance requirements.
• Experience managing large-scale content repositories supporting billions of content objects.
• Experience designing enterprise content service platforms used across multiple lines of business.
• 3+ years of experience architecting and implementing AI-powered document processing solutions.
• Experience integrating Generative AI capabilities into enterprise applications and business workflows.
• Knowledge of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI frameworks, vector databases, and enterprise AI orchestration patterns.
• Experience implementing AI governance, Responsible AI practices, and Model Risk Management (MRM) controls within regulated environments.
• Experience with cloud-based AI platforms including Google Vertex AI, Azure AI, Gemini Enterprise, or equivalent technologies.
• Strong programming expertise in Python and related AI/automation technologies.
• Experience with relational and NoSQL database technologies including Oracle and MongoDB.
• Experience with automation platforms and DevOps tooling, including GitHub Actions, Harness, Ansible, or similar solutions.
• Experience with modern front-end technologies including ReactJS.
• Knowledge of enterprise observability, performance engineering, and site reliability engineering practices.
• Familiarity with Wells Fargo content management and document-processing platforms including ICMP, IDOCS, Tachyon, Capture, and related enterprise services.
• Understanding of financial services regulatory requirements governing document retention, content governance, privacy, auditability, and records management.