Lead AI Workflow Designer – Prompt Architect

Wells Fargo

. Partner with business, product, technology, and operations teams to identify AI and agentic solution opportunities .

Posted 10/14/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and optimizing AI workflows, including prompt engineering and multi-step LLM processes, while ensuring effective integration with enterprise applications and adherence to responsible AI practices.

Highest-signal resume keywords

Artificial Intelligence Solutions ExperiencePrompt EngineeringPython ProficiencyAI Workflow OptimizationIntegration with Enterprise Applications

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Artificial Intelligence SolutionsMulti-Step LLM WorkflowsGenerative AI WorkflowsPrompt EngineeringData InspectionAutomation DevelopmentContext ManagementTroubleshootingAPIsJSON

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

GitHub CopilotClaude CodeCursorAI-Assisted Development Tools

Industry Keywords

AI GovernanceRisk ManagementQuality AssuranceContext EngineeringWorkflow Orchestration

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Partner with business, product, technology, and operations teams to identify AI and agentic solution opportunities
Translate business problems into structured, multi-step AI workflow designs
Design, develop, and optimize prompt workflows for reasoning, decision support, content generation, analysis, and task execution
Define workflow architecture, including prompts, context, tools, orchestration logic, handoffs, dependencies, and outputs
Manage information, memory, context, and intermediate outputs throughout workflow execution
Maintain prompt libraries, reusable workflow templates, and orchestration patterns
Collaborate with product and engineering teams to integrate AI workflows into enterprise applications and business processes
Analyze execution logs, model outputs, and agent responses to identify failures and performance issues
Troubleshoot prompt design, context management, agent behavior, tool integrations, data pipelines, file structures, APIs, and execution environments
Evaluate workflow effectiveness and improve reliability, accuracy, efficiency, and user outcomes
Improve context engineering for information retrieval, grounding, memory management, and response quality
Develop automation, scripts, and utilities for workflow development, testing, evaluation, monitoring, and operations
Perform data inspection, transformation, validation, and analysis
Rapidly prototype solutions for unmet business needs
Contribute to AI governance, risk management, quality assurance, and responsible AI practices
Stay informed about emerging AI technologies, agent frameworks, orchestration platforms, prompt engineering, and industry practices

Requirements

What you’ll need

5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows
Strong problem-solving skills translating complex business challenges into scalable AI solutions
Expertise in prompt engineering, human-in-the-loop workflows, and AI performance optimization
Ability to troubleshoot and diagnose issues across prompts, agents, context management, integrations, and workflow execution
Proficiency in Python, APIs, JSON, Markdown, and structured and unstructured data
Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms
Knowledge of agent orchestration frameworks, multi-agent architectures, and modern workflow orchestration patterns
Understanding of RAG, context engineering, memory management, tool calling, and agent planning methodologies
Experience integrating AI solutions with enterprise applications, automation platforms, cloud AI services, and business processes
Expertise in communication, collaboration, governance, risk, responsible AI, evaluation, monitoring, compliance, and operational controls
Not eligible for visa sponsorship
Ability to work on site according to Wells Fargo's standard operating model in a listed location
Ability to travel up to 10% of the time

Benefits

Comp & perks

Robust benefits
Competitive compensation
Programs designed to support work-life balance and well-being
Community investment recognition
Growth and career development opportunities
Hybrid work schedule: 3 days on-site and 2 remote