Lead Specialty Software Engineer - AI Tooling & Enablement

Wells Fargo

Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCIrving, TX
Posted
6 days ago
Closes
Jun 20, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $199k
$154k most similar roles pay here $239k

This listing doesn't post a salary. Most similar roles pay $167,100–$231,043.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 87 open roles on FindRole.

Listed pay typically runs $144,009–$224,000 across 46 roles with salary data.

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At a glance

TL;DR · Lead Specialty Software Engineer - AI Tooling & Enablement

Wells Fargo seeks a Specialty Software Engineer at the senior level to drive the adoption of AI tools and SDLC technologies within its Chief Data Office, focusing on enhancing engineering productivity through technical leadership, mentorship, and community engagement. This role involves designing and implementing automation tools, mentoring junior engineers, and fostering innovation via events like hackathons. The ideal candidate will have extensive experience with AI engineering, proficiency in tools such as Devin.AI and GitHub Copilot, and a strong background in software development using Python, Scala, Java, TypeScript, and related frameworks. Additionally, the role requires expertise in CI/CD pipelines, DevOps practices, and cloud-based AI services, along with skills in technical writing, metrics reporting, and stakeholder management within a regulated financial environment.

What you'll do

  • Drive onboarding and adoption of AI tools and SDLC technologies across engineering teams.
  • Design and implement automation to enhance developer experience and operational efficiency.
  • Mentor junior engineers and provide guidance on tool usage and best practices.
  • Influence stakeholders to adopt new tools and capabilities for improved productivity.
  • Manage the champions program by training team leaders and conducting workshops.

What we're looking for

  • 5+ years of AI engineering experience with hands-on use of AI development tools like Devin.AI, Claude Code, Cursor.AI, or GitHub Copilot
  • Expertise in AI software development, CI/CD pipelines, SDLC processes, and integrating applications with APIs and enterprise systems
  • Experience building or supporting GenAI applications, including prompt design and RAG concepts, and familiarity with AI/ML frameworks like LangChain
  • Strong general software engineering skills across Python/FastAPI, Scala/Spark, Java/Spring, TypeScript/React stacks for validating AI output
  • Proficiency in CI/CD & DevOps practices, including GitHub Actions/Enterprise, build/test pipelines, Docker/Kubernetes, and environment configuration management

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