# Senior Artificial Intelligence Solutions Consultant at Wells Fargo

Wells Fargo is hiring a Senior Artificial Intelligence Solutions Consultant for a remote role open to applicants in India. Level rates it Works on AI ●●●○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/4ec0ac59-271f-4fa8-a144-20abc14f4c99?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. Remote (Hyderabad, India).

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Remote (Hyderabad, India)
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/4ec0ac59-271f-4fa8-a144-20abc14f4c99?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-artificial-intelligence-solutions-consultant-at-wells-fargo-12d27d

## Prepare for this job

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## Description

About this role: Wells Fargo is seeking a Senior Artificial Intelligence Solutions Consultant to support the implementation of generative AI capabilities for data, analytics, and decision sciences. This role combines hands-on technical skills with project-level consulting to help decision science teams refine use cases, develop and test prototypes, and responsibly use approved Gen AI tools and automation. The consultant will work within defined objectives, collaborate with immediate team members and business partners, and contribute reusable components and documentation that improve analytics and modeling workflows while following applicable quality, risk, and governance requirements. In this role, you will: • Contribute as an individual consultant to moderately complex Gen AI initiatives for data, analytics, modeling, and decision science teams • Collaborate with decision science practitioners and business partners to refine Gen AI and automation use cases based on defined business needs, technical feasibility, data readiness, risk, and adoption considerations • Develop and test Gen AI prototypes that improve analytical workflows, including data discovery and preparation, code generation and review, exploratory analysis, model development support, documentation, monitoring, knowledge retrieval, and repeatable reporting • Apply prompt engineering, retrieval-augmented generation, agentic workflow, semantic retrieval, evaluation, and human-in-the-loop techniques using approved tools and established patterns • Translate defined business and analytical requirements into technical tasks, prototype approaches, test plans, success measures, and implementation activities with guidance from more experienced team members • Build and maintain reusable prompts, evaluation scripts, automation components, and technical documentation for use within assigned projects or workstreams • Participate in technical working sessions, demonstrations, peer reviews, and knowledge-sharing activities with data scientists, analysts, model developers, product partners, and control partners • Perform structured testing and evaluation of solution outputs for accuracy, relevance, robustness, traceability, security, responsible AI considerations, and readiness for the intended use • Work with immediate business, data, technology, model risk, compliance, and control partners to apply established standards and complete required review and governance activities • Analyze technical issues, document options and tradeoffs, escalate decisions outside assigned authority, and communicate progress and recommendations clearly to project leads and business partners Required Qualifications: • 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

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