Senior Process Engineer

Job Summary Wells Fargo is seeking a Senior Process Engineer Responsibilities Develop and lead redesign initiatives that encompass analyses and future state redesigns Manage assigned complex initiatives involving multiple business process segments to identify risks Complete and lead integrated process analyses, identifying procedural and control deficiencies, opportunities, and recommending solutions Consult with team to understand, influence, adapt research, and create alternatives for consideration, drive results, and bring issues to resolution Make decisions and resolve issues to meet business objectives Interpret policies, procedures, and compliance requirements Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Interact with internal customers Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements Required Qualifications 4+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Experience in Process Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications Demonstrated ability to identify, assess, and prioritize high-value AI-enabled transformation opportunities across complex operational processes, leveraging Process Excellence methodologies and data-driven decision making. Working knowledge of Generative AI, Large Language Models (LLMs), Agentic AI, and enterprise AI applications, with the ability to translate emerging capabilities into scalable business solutions. Experience applying AI-enabled approaches for process analysis, knowledge management, document intelligence, summarization, classification, root cause analysis, and operational decision support. Knowledge of prompt engineering, structured output design, knowledge retrieval frameworks, Retrieval Augmented Generation (RAG) concepts, and AI-assisted research methodologies. Experience designing future-state business processes that incorporate AI, intelligent automation, workflow orchestration, and human-in-the-loop controls to improve efficiency, quality, and customer outcomes. Ability to evaluate AI solutions for feasibility, business value, data readiness, scalability, risk, and operational impact, and develop compelling business cases supported by measurable benefits and implementation roadmaps. Experience defining governance, controls, evaluation frameworks, and risk mitigation strategies for AI-enabled processes, including considerations related to model output quality, explainability, privacy, traceability, and regulatory compliance. Ability to partner effectively with Operations, Technology, Risk, Compliance, Data Management, and Product teams to influence adoption and drive the delivery of AI-enabled process transformation initiatives. Professional certifications, advanced training, or hands-on experience in Artificial Intelligence, Generative AI, Agentic AI, Intelligent Automation, Process Mining, Advanced Analytics, or related digital transformation disciplines.