Senior AI/ML Voice Natural Language Processing Analyst

Wells FargoSan Antonio, TX
3d$139,000 - $239,000Hybrid

About The Position

Wells Fargo is seeking a Senior Artificial Intelligence Solutions Consultant to support the implementation and optimization of AI-driven customer experience solutions as part of our migration to a new Contact Center as a Service (CCaaS) platform. This consultant will drive and deliver on business to deliver AI-enabled solutions which solve business challenges. This role will ensure the training, performance, and successful deployment of Natural Language Processing (NLP) models. In this role, you will: Analyze conversational data to identify gaps, improve NLP accuracy, and enhance customer experience. Monitor and report on AI model performance, including precision, recall, and customer satisfaction metrics. Support the design and testing of scalable machine learning solutions aligned with business goals. Provide feedback and insights to improve AI training programs and user adoption. Lead cross functional teams to identify, strategize, and execute Artificial Intelligence initiatives within a line of business Understand the strategy to recommend solutions on solving business challenges Analyze and review cases obtaining the required resources to ensure the solution delivers the intended benefits Leverage knowledge to evaluate technological readiness, data availability, and resources to execute the proposed solutions Influence without authority to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders Decision key issues which may arise during development or implementation Collaborate and consult with peers, colleagues and managers to resolve and achieve goals

Requirements

  • 4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

  • Ability to apply linguistic theory to computational models, including syntax, semantics, and pragmatics.
  • Experience working with language corpora, tokenization, part-of-speech tagging, and parsing techniques.
  • Strong understanding of intent classification, entity recognition, and call flow design.
  • Experience with data visualization and reporting tools (e.g., Tableau, Looker).
  • Familiarity with conversational AI platforms (e.g., Google Dialogflow CX, Amazon Lex).
  • Experience with HumanFirst

Responsibilities

  • Analyze conversational data to identify gaps, improve NLP accuracy, and enhance customer experience.
  • Monitor and report on AI model performance, including precision, recall, and customer satisfaction metrics.
  • Support the design and testing of scalable machine learning solutions aligned with business goals.
  • Provide feedback and insights to improve AI training programs and user adoption.
  • Lead cross functional teams to identify, strategize, and execute Artificial Intelligence initiatives within a line of business
  • Understand the strategy to recommend solutions on solving business challenges
  • Analyze and review cases obtaining the required resources to ensure the solution delivers the intended benefits
  • Leverage knowledge to evaluate technological readiness, data availability, and resources to execute the proposed solutions
  • Influence without authority to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
  • Decision key issues which may arise during development or implementation
  • Collaborate and consult with peers, colleagues and managers to resolve and achieve goals

Benefits

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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