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indeed

Senior Process Engineer- AI

Wells Fargo
Karnataka, IND
Full-time
Onsite
Discovered 1 months ago
Process engineeringProcess analysis and redesignGenerative AILarge language models (LLMs)Agentic AIPrompt engineering

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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