Senior Artificial Intelligence Consultant- AI

About this role: Wells Fargo is seeking a Senior Artificial Intelligence Consultant In this role, you will: 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 Required Qualifications: 4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualification 3+ years of Artificial Intelligence Solutions, data science, advanced analytics, or related consulting experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education •   Experience delivering assigned components of moderately complex projects, working within defined objectives, and coordinating effectively with cross-functional team members •   Hands-on experience applying Generative AI or large language models to data, analytics, modeling, or decision science workflows •   Proficiency in Python and SQL, including data processing, API integration, testing, debugging, and workflow automation •   Experience with at least one of the following: prompt engineering, retrieval-augmented generation, agentic workflows, semantic retrieval, structured outputs, or LLM evaluation methods •   Experience working with analytical data platforms and frameworks such as Pandas, Spark, Databricks, cloud-based AI/ML services, or equivalent technologies •   Experience translating defined business and analytical problems into technical requirements, prototypes, test results, and implementation recommendations •   Strong communication and collaboration skills, including requirements clarification, technical documentation, working-session participation, and the ability to explain technical concepts to immediate team members and business partners •   Foundational understanding of responsible AI, model and data governance, information security, privacy, quality, testing, and human oversight considerations relevant to enterprise AI solutions Candidates are not expected to have experience in every technology listed below. Strong candidates will typically bring hands-on experience in several of these areas, along with the ability to learn and apply additional tools and patterns on the job. •   Experience supporting data science, quantitative analytics, model development, marketing analytics, or decision intelligence teams •   Experience automating components of analytics or model-lifecycle activities such as data preparation, code migration, model documentation, validation support, monitoring, forecasting, campaign analytics, or insight generation •   Hands-on experience with enterprise AI assistants and development environments such as Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, approved low-code/no-code AI platforms, or comparable tools •   Familiarity with orchestration frameworks such as LangChain or LangGraph and with enterprise LLM, RAG, or agentic solution patterns •   Familiarity with vector databases, semantic retrieval, metadata management, knowledge graphs, or semantic layers that improve LLM grounding in enterprise data and analytical context •   Experience using or supporting REST APIs, lightweight services, reusable Python modules, and