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Wells Fargo

AI Solutions Lead

Wells Fargo

. Own and oversee end-to-end AI solution delivery from shaping through prototype, evaluation, pilot, and adoption .

Posted 11/4/2026full-timeUnited StatesSenior💰 $215,000 - $355,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates extensive experience in Artificial Intelligence Solutions delivery, including hands-on development of AI, machine learning, and generative AI applications. Proficient in stakeholder management, business-case development, and executive communication within the financial services sector.

Highest-signal resume keywords
Artificial Intelligence Solutions ExperienceHands-On AI DeliveryLow-Code/No-Code Platforms FluencyBusiness-Case DevelopmentStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Solution DeliveryMachine LearningGenerative AIAutomation SolutionsAgentic SolutionsWorkflow OrchestrationAI GovernanceData PlatformsPortfolio ManagementTrade Support
Soft Skills
Executive CommunicationInfluencing Without AuthorityChange Management
Tools & Technologies
Tachyon Agent StudioClaude Code / CoworkMicrosoft CopilotGemini EnterpriseCursor
Industry Keywords
Wealth ManagementInvestment ManagementBrokerage OperationsAsset ManagementFinancial Services

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own and oversee end-to-end AI solution delivery from shaping through prototype, evaluation, pilot, and adoption
  • Partner with the Chief Product Office product manager to author AI-specific PRDs covering users, success metrics, data, patterns, risk tiers, and effort
  • Build thin-layer applications and configured agents using the approved toolchain, including Tachyon Agent Studio, Claude Code / Cowork, and Copilot
  • Determine the lightest solution layer capable of delivering the desired outcome
  • Produce hand-off blueprints, PRDs, and user stories for WIM Technology to industrialize top-layer platform builds
  • Integrate solutions with systems of record in partnership with Technology
  • Work with the Model & Eval team to establish evaluation harnesses, golden datasets, and regression, accuracy, and safety evaluations
  • Clear the Stage-3 quality bar before build
  • Prepare governance evidence during prototyping, including AIRR, architecture (JAD) review, MRM tiering, and policy/ECM checks
  • Develop business cases and value-realization frameworks
  • Quantify efficiency, quality, scalability, and client-impact benefits
  • Drive stakeholder engagement, change management, pilot cohorts, and field adoption
  • Monitor realized value and identify scaling opportunities
  • Present solution approaches, evaluation results, and delivery roadmaps to senior leadership

Requirements

What you’ll need
  • 10+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
  • Hands-on delivery of AI, machine learning, generative AI, RAG, automation, or agentic solutions — building, not only advising
  • Fluency with low-code/no-code and agent platforms such as Agent Studio, Claude Code / Cowork, Devin, Microsoft Copilot, Gemini Enterprise, and Cursor
  • Fluency with LLMs, agentic frameworks, and workflow orchestration
  • Knowledge of investment management, consumer-facing financial agent implementations, portfolio management, trade support, client reporting, operational servicing, or enterprise data ecosystems
  • Experience within wealth management, investment management, brokerage operations, asset management, or financial services
  • Experience with cloud-based data platforms and AI governance/responsible-AI frameworks in regulated environments
  • Strong business-case development, stakeholder management, and executive communication skills
  • Ability to influence without direct authority
  • Position is not eligible for Visa sponsorship
  • Travel up to 20%

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