Lead Software Engineer

Wells Fargo & Company•Iselin, NJ

1d•Hybrid

About The Position

Wells Fargo is seeking a Lead Software Engineer (LSE) who will play a technical role in the design, development, testing, and deployment of software. This LSE will contribute to all aspects of the Software Development Lifecycle (SDLC), including requirement gathering, design, development, and testing, with a focus on technical design and development using Gen AI stack and other technology/integration tools. The role emphasizes delivering solutions quickly and with high quality, requiring a strong ability to work independently on design, development, and testing tasks. The LSE will partner closely with business teams and technology groups to ensure delivery meets requirements and aligns with technology standards and best practices. The position involves leading complex, companywide technology initiatives, acting as a key participant in developing standards and best practices for large-scale technology solutions, and making decisions in engineering and technology solutions by understanding industry best practices and new technologies. The LSE will also collaborate with technical experts and senior technology teams to resolve complex technical issues and may 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 Python full-stack development, including RESTful API design (FastAPI, Flask, Django), web development frameworks, and front-end integration
3+ years of experience of REST API development for AI services
3+ years of experience of strong knowledge of Autosys, OpenShift (OCP), and GCP environments
3+ years of experience with CI/CD tools and Identity Access Management
1+ years of experience with GenAI stack

Nice To Haves

Familiarity with Google AI Development Kit (ADK) or equivalent Microsoft AI frameworks for enterprise-grade GenAI solutions like autogen, semantic kernel
Familiarity with enterprise AI governance and responsible AI frameworks
Combine human + automated evaluation for nuanced quality checks
Use LLM-as-a-Judge for scalable assessments
Expertise in numerical libraries such as NumPy, Pandas, and experience building data-driven applications with robust performance and scalability
Familiarity with PostgreSQL, ETL processes, and S3 data handling
GenAI stack
Hands-on experience with LangChain, LangGraph, and LangSmith for building agentic workflows
Experience with vector databases
Proficiency in developing React-based AI agents, strong understanding of multi-agent orchestration systems
Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable

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