Lead AI Workflow Designer & Prompt Architect

Wells Fargo Bank•Charlotte, NC

1d•Hybrid

About The Position

Wells Fargo is seeking a Lead AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using large language models, AI agents, and orchestration frameworks to address complex business challenges. The role combines strategic problem framing, prompt engineering, workflow architecture, and technical implementation to deliver scalable, reliable AI solutions aligned with business needs. The position translates ambiguous business challenges into structured, multi-step workflows coordinating prompts, tools, context, data, and agent interactions. It calls for the ability to assess system behavior independently, prototype solutions, troubleshoot workflow issues, and improve AI performance through experimentation and operational insights. The position follows a hybrid schedule of three days on site and two days remote at a listed location: Charlotte, NC; Irving, NC; or Chandler, AZ. Remote-only work locations are unavailable, and candidates outside the listed locations must commit to self-relocation within an agreed timeframe. Travel may be required up to 10% of the time. The position is not eligible for visa sponsorship.

Requirements

5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.

Nice To Haves

Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows.
Strong problem-solving skills and ability to translate 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 working with 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.
Strong communication, collaboration, governance, risk, and responsible AI expertise, including evaluation, monitoring, compliance, and operational controls.

Responsibilities

Partner with business, product, technology, and operations teams to understand challenges and identify opportunities for AI and agentic solutions.
Translate business problems into structured AI workflow designs with logical stages and execution paths.
Design, develop, and optimize multi-step prompt workflows for AI agents performing reasoning, decision support, content generation, analysis, and task execution.
Define workflow architecture, including prompts, context requirements, tool interactions, orchestration logic, handoffs, dependencies, and output requirements.
Determine how information, memory, context, and intermediate outputs are managed during workflow execution.
Design and maintain prompt libraries, reusable workflow templates, and orchestration patterns for multiple business use cases.
Collaborate with product and engineering teams to integrate AI workflows into enterprise applications and business processes.
Analyze workflow logs, model outputs, and intermediate agent responses to identify causes of failures, performance degradation, or inconsistent results.
Troubleshoot prompt design, context management, agent behavior, tool integrations, data pipelines, file structures, APIs, and execution environments.
Evaluate workflow effectiveness using qualitative and quantitative measures and implement improvements to reliability, accuracy, efficiency, and user outcomes.
Improve context engineering strategies for information retrieval, grounding, memory management, and response quality.
Develop lightweight automation, scripts, and utilities for workflow development, experimentation, testing, evaluation, monitoring, and operational efficiency.
Perform data inspection, transformation, validation, and analysis to support AI workflow development and troubleshooting.
Rapidly prototype solutions when existing tools, workflows, or capabilities do not address a business need.
Contribute to AI governance, risk management, quality assurance, and responsible AI practices, ensuring workflows follow established standards and controls.
Stay informed about emerging AI technologies, agent frameworks, orchestration platforms, prompt engineering techniques, and industry best practices.
Follow applicable Wells Fargo risk and compliance policies and procedures, fulfill risk and compliance obligations, and escalate and remediate issues appropriately.