Lead Python Engineer

Wells Fargo • Charlotte, NC

152d • $111,100 - $197,500

About The Position

Wells Fargo is seeking a Lead Python Engineer in Technology as part of Commercial Corporate & Investment Bank Technology (CCIBT) engineering and transformation office. The Lead engineer will be supporting the build out of the new Credit Intelligence AI platform for the Commercial Lending and Credit Financial Solutions organization. As part of this team, you will solve business problems using AI solutions such as Large Language Models, Agentic AI frameworks, Retrieval Augmented Generation implementations. The candidate is expected to have hands on programming experience with Python and system to system integration experience.

Requirements

• 5+ years of Software Engineering experience
• 3+ years of experience with Python
• 2+ years of experience with MongoDB
• 2+ years of experience with MicroServices to implement and consume REST APIs
• 1+ years of data visualization experience

Nice To Haves

• Experience with graphing technologies using Python, Neo4j, etc.
• Experience in an enterprise setting using Python frameworks such as NumPy, Pandas, PyMongo, PyTest, MagicMock, Fast API, Flask, Matplotlib, TensorFlow, PyTorch
• MongoDB experience including writing complex queries, perform data aggregation
• Knowledge of LLMs such as Gemini, GPT4o, Claude and implementation patterns with GitHub Copilot
• Experience with enterprise technologies such as Single Sign On, secure webservices, Kafka/Solace
• Experience building highly available systems
• Experience with containers and cloud platforms such as OpenShift, VMWare Tanzu, Google Cloud Project
• Experience with tools such as GitHub, IDEs (Visual Studio), Confluence, JIRA
• Experience with enterprise pipeline processes including CI/CD technologies such as Gradle, Jenkins, GitHub, Artifactory, SonarQube
• Experience with Agile Engineering practices
• Bachelor's or master's degree in computer science, artificial intelligence or a related field
• Certification in AI, machine learning or a related field
• Banking/Financing domain, or other regulated industry experience

Responsibilities

• Design, develop, test and deploy large scale AI applications using Python and relevant AI and cloud technologies
• Use LLMs for inference, summarization, chatbots, RAG, and other upcoming techniques
• Build integrations with internal/external MicroServices and other data sources to build an application pipeline
• Implement event driven architecture using messaging technologies
• Collaborate with various partners within the enterprise to reuse and build reusable solutions
• 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
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
• Make decisions in developing standard and companywide best practices for engineering and technology solutions
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues
• Lead projects, teams, or serve as a peer mentor
• Troubleshoot and resolve complex technical issues related to applications and model

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees