Senior Process Engineer- AI
Role Overview
Wells Fargo is seeking a Senior Process Engineer.
The role leads complex process analyses and redesign initiatives across business process segments.
Key Skills for This Role
Full Job Posting
Role overview
Wells Fargo is seeking a Senior Process Engineer.
The role leads complex process analyses and redesign initiatives across business process segments.
Responsibilities
- Develop and lead analyses and future-state redesigns.
- Manage complex initiatives across multiple process segments and identify risks.
- Identify procedural and control deficiencies and opportunities, and recommend solutions.
- Consult with teams, develop alternatives, drive results, and resolve issues.
- Make decisions to meet business objectives and interpret policies, procedures, and compliance requirements.
- Collaborate with colleagues, managers, and internal customers to resolve issues and achieve goals.
Required qualifications
- At least 4 years of Process Engineering experience, or equivalent demonstrated through experience, training, military experience, or education.
- Experience in Process Engineering, or equivalent demonstrated through work experience, training, or education.
Desired qualifications
- Ability to identify and prioritize AI-enabled transformation opportunities using process excellence and data-driven decision making.
- Working knowledge of Generative AI, LLMs, Agentic AI, and enterprise AI applications.
- Experience applying AI to process analysis, document intelligence, knowledge management, and operational decision support.
- Knowledge of prompt engineering, structured output design, retrieval frameworks, RAG concepts, or AI-assisted research.
- Experience designing processes with AI, automation, workflow orchestration, and human-in-the-loop controls.
- Ability to evaluate AI feasibility, value, data readiness, scalability, risk, and operational impact and develop business cases and roadmaps.
- Experience with AI governance, controls, evaluation, and risk mitigation, including privacy, explainability, traceability, and compliance.
- Ability to partner with Operations, Technology, Risk, Compliance, Data Management, and Product teams.
- Certifications, advanced training, or hands-on experience in AI, automation, process mining, advanced analytics, or related transformation disciplines.
Employer information
The employer describes a risk- and compliance-driven culture and expects employees to follow applicable policies and escalate and remediate issues.
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