About this role:
Wells Fargo is seeking a Lead Software Engineer. The Lead Software Engineer (LSE) will have a technical role in the team responsible for design & development, test and deploy the software. This LSE will actively contribute to all aspects of the Software Development Lifecycle (SDLC) from requirement gathering, design, development, testing and overall technical design, development using Gen AI stack along with other technology and integration tools.
The success of the role will require focusing on delivering the solution per requirements with a quick turnaround time and yet without any compromise on quality. This role will need a strong ability to work independently to complete design, development, and testing tasks as we are developing partnerships and working closely with business teams, and technology groups to ensure delivery per requirements and alignment with technology standards and best practices.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
Wells Fargo is seeking a Lead Software Engineer. The Lead Software Engineer (LSE) will have a technical role in the team responsible for design & development, test and deploy the software. This LSE will actively contribute to all aspects of the Software Development Lifecycle (SDLC) from requirement gathering, design, development, testing and overall technical design, development using Gen AI stack along with other technology and integration tools.
The success of the role will require focusing on delivering the solution per requirements with a quick turnaround time and yet without any compromise on quality. This role will need a strong ability to work independently to complete design, development, and testing tasks as we are developing partnerships and working closely with business teams, and technology groups to ensure delivery per requirements and alignment with technology standards and best practices.
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
Required Qualifications:
- 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.
Desired Qualifications:
- 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
Job Expectations:
- Willingness to work on-site at stated location on the job opening
- This position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Pay Range- Iselin, New Jersey (143,000-224,000k)
Top Skills
Autosys
Ci/Cd
Django
Fastapi
Flask
GCP
Google Ai Development Kit
Langchain
Langgraph
Langsmith
Model Context Protocol
Numpy
Openshift
Pandas
Postgres
Python
React
S3
Vector Databases
Wells Fargo Charlotte, North Carolina, USA Office
355 W Martin Luther King, Jr BLVD, Charlotte, NC, United States, 28202
Similar Jobs at Wells Fargo
Fintech • Financial Services
The Lead Software Engineer will oversee software development, lead technology initiatives, and ensure quality solutions are delivered according to requirements while mentoring peers.
Top Skills:
AutosysCi/CdDjangoETLFastapiFlaskGCPGenaiGoogle Ai Development KitLangchainLanggraphLangsmithOpenshiftPostgresPythonS3
Fintech • Financial Services
Lead the development of modern technology solutions for Enterprise initiatives at Wells Fargo, overseeing project strategies and mentoring teams in software engineering.
Top Skills:
AngularJavaMongoDBReactSpring BootSQL Server
Fintech • Financial Services
Lead technology initiatives and develop AI solutions, ensuring best practices and collaboration while architecting scalable systems across Google Cloud.
Top Skills:
AngularjsAWSAzureDb2ExtjsGCPGitHadoopJavaJenkinsJmsJpaJqueryKafkaKubernetesMqNoSQLOraclePythonReactRedisSpringSQL ServerTeradata
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

