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Wells Fargo

VP, Forward Deployed AI Specialist

Wells Fargo

. Partner directly with business, product, and operational teams to understand workflows, pain points, controls, and transformation opportunities .

Posted 10/30/2026full-timeUnited StatesLead💰 $159,000 - $254,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI solutions, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), while effectively translating business requirements into technical designs. Proven ability to drive measurable business outcomes through collaboration with cross-functional teams in regulated environments.

Highest-signal resume keywords
Artificial Intelligence Solutions ExperienceSoftware Development in PythonLarge Language Models (LLMs)Rapid Prototyping with Low-Code ToolsExperience in Financial Services Domains

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Artificial Intelligence SolutionsMachine Learning (ML)Data ScienceSolution ArchitectureRapid PrototypingPrompt EngineeringEvaluation FrameworksModel GovernanceAI Risk ManagementResponsible AI
Soft Skills
Strong Communication SkillsStakeholder ManagementCollaborative Teamwork
Tools & Technologies
Cloud-Based AI PlatformsEnterprise Data EcosystemsAI Deployment PatternsNotebooksLow-Code Tools
Industry Keywords
Commercial BankingCorporate BankingCapital MarketsClient OnboardingFinancial CrimesDeal ExecutionSales/OriginationTrading

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Partner directly with business, product, and operational teams to understand workflows, pain points, controls, and transformation opportunities
  • Design, develop, and prototype agentic AI solutions that improve productivity, decision-making, and operational effectiveness
  • Select appropriate intelligent solution patterns, including ML models, GenAI, agents, or no AI, and define success criteria
  • Build working prototypes with Product and Technology teams using real users and data
  • Translate business requirements into technical designs, workflows, and proof-of-concept solutions
  • Leverage LLMs, agentic systems, RAG, tool use, orchestration frameworks, and evaluation methodologies
  • Collaborate with Risk, Compliance, Legal, Privacy, Information Security, and other control partners
  • Contribute reusable patterns, capabilities, tools, evaluations, and reference architectures across business domains
  • Stay current on emerging AI technologies, frameworks, and best practices
  • Raise AI fluency across the organization
  • Drive solutions from concept through implementation with a focus on measurable business outcomes

Requirements

What you’ll need
  • 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
  • 3+ years of experience in software development, AI/ML, data science, solution architecture, or a related technical discipline
  • Professional experience in a highly regulated environment
  • Understanding of Large Language Models (LLMs), agentic and multi-agent architectures, Retrieval-Augmented Generation (RAG), prompt engineering, and evaluation frameworks
  • Experience in commercial banking, corporate banking, capital markets, lending, client onboarding, financial crimes, deal execution, sales/origination, trading, or related financial services domains
  • Experience building AI-powered solutions with measurable business impact
  • Experience with rapid prototyping in Python, Notebooks, or low-code tools
  • Experience translating business needs into technical solutions
  • Experience with cloud-based AI platforms, enterprise data ecosystems, and production AI deployment patterns
  • Knowledge of model governance, AI risk management, responsible AI, privacy, and information security practices
  • Strong communication and stakeholder management skills
  • Ability to operate in highly collaborative, cross-functional environments
  • This position is not eligible for Visa sponsorship

Benefits

Comp & perks
  • 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
  • Incentive opportunities may be available