Artificial Intelligence Solutions Consultant

Wells Fargo & CompanyCharlotte, NC
Hybrid

About The Position

About this role: Wells Fargo Digital Data and AI organization within Consumer banking and Lending is seeking an AI Solutions Consultant - Conversational Architect to plan and implement advanced conversational experiences on our Virtual Assistant platforms, reaching over 30 million Wells Fargo customers. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Partner with various partners including PM’s, PO’s, UX designers and content strategist to plan, validate and execute the model and implementation of GenAI experiences within the virtual assistant Build the business rules, logic and API interactions that are required for sophisticated interactions Deploy GenAI innovations to enable more complex conversations using the latest build patterns including RAG, agentic, multi-agent orchestration, and tool calling Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in a great customer experience

Requirements

  • 2+ years of AI Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years experience developing and deploying conversational virtual assistants
  • 2+ years hands-on experience utilizing conversational AI platforms or orchestration frameworks such as LangGraph or ADK, with preference given for Google Dialogflow CX, Conversational Agents, CX Agent Assist
  • 2+ years hands-on experience building GenAI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures including setting up vector databases and prompt engineering
  • Knowledge and understanding of GenAI-related skills such as chunking and embedding, tool calling, prompt engineering, and guardrail implementation
  • Fluency in writing code in Python, JavaScript, C++ or some other high-level language

Nice To Haves

  • B.S. in Computer Science, Machine Learning, Human Computer Interaction or related fields
  • Ability to be proactive, innovative and creative in meeting customer and enterprise needs
  • Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
  • Ability to develop and execute business vision, strategies, and goals
  • Ability to develop partnerships and collaborate with other business and functional areas
  • Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
  • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
  • Excellent verbal, written, and interpersonal communication skills
  • Previous financial services experience.

Responsibilities

  • Partner with various partners including PM’s, PO’s, UX designers and content strategist to plan, validate and execute the model and implementation of GenAI experiences within the virtual assistant
  • Build the business rules, logic and API interactions that are required for sophisticated interactions
  • Deploy GenAI innovations to enable more complex conversations using the latest build patterns including RAG, agentic, multi-agent orchestration, and tool calling
  • Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences
  • Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in a great customer experience
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