Lead Software Engineer

Wells Fargo & Company•Columbus, OH

1d•$119,000 - $187,000•Onsite

About The Position

About this role: Wells Fargo is seeking a Lead Software Engineer in our Enterprise Data Platforms as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com. In this position you will design and deliver AI‑powered and agentic solutions that improve SDLC flow, quality, and developer experience across planning, build, test, and delivery. This role partners closely with product, platform, and engineering teams to embed GenAI into tooling, pipelines, and workflows, moving from advisory agile practices to direct, scalable automation. The role serves as both a technical leader and hands‑on engineer, translating AI capabilities into measurable SDLC outcomes. In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of advanced Python development experience building production services, integrating APIs, and managing data pipelines
4+ years of experience working with Generative AI, large language models, or foundation models
3+ years building, deploying, and maintaining Model Context Protocol (MCP) servers, including production integrations between LLMs and external tools or data sources
3+ years serving in a technical lead role, with responsibility for architectural decisions, code quality standards, and mentoring engineers
2+ years of experience with UI/UX - React, Java script, neo4j, MongoDB & Tachyon
2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift

Nice To Haves

Strong software engineering background with experience building and operating production‑grade systems (e.g., distributed services, APIs, CI/CD integrations).
Demonstrated experience applying Generative AI and/or agentic AI to real‑world workflows, including LLM‑based automation, AI agents, or copilots embedded in developer tools or platforms.
Hands‑on expertise with modern AI ecosystems (e.g., GitHub Copilot, agent frameworks, prompt orchestration, evaluation, and model integration patterns).
Experience integrating AI into SDLC tooling such as source control, backlog management, testing frameworks, CI/CD pipelines, or compliance workflows.
Ability to translate engineering and delivery pain points into AI‑driven solutions with measurable impact (e.g., flow efficiency, quality, cycle time, or developer productivity).
Strong collaboration skills with product, platform, and architecture partners, and the ability to influence SDLC evolution through working software rather than process alone

Responsibilities

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor