APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

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
• 3+ years of experience with Python
• 3+ years of experience with SQL and NoSQL databases
• 2+ years of experience with MicroServices to implement and consume REST API

Desired Qualifications:

• 3+ years of Java engineering experience
• 3+ years of experience in AI/ML, including neural networks, transformers, and LLMs
• 3+ years of experience designing and maintaining ETL pipelines and data workflows.
• 2+ years of experience with LangChain, LangGraph, or similar agentic AI frameworks.
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG architectures.
• Proficiency in Python libraries: NumPy, Pandas, PyTorch, TensorFlow, FastAPI, Flask, PyMongo, SQLAlchemy, Matplotlib.
• Experience with prompt engineering, LLM fine-tuning, and embedding models.
• Familiarity with GitHub Copilot, OpenAI APIs, and cloud-based AI services (e.g., GCP Vertex AI).
• Experience with CI/CD pipelines (Jenkins, GitHub Actions), container orchestration, and DevOps practices.
• Strong understanding of AI ethics, model interpretability, and governance in regulated industries.
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field.
• AI/ML certifications (e.g., TensorFlow Developer, AWS/GCP AI Engineer)

Wells Fargo is seeking a Lead Python Engineer in Technology as part of Commercial Corporate & Investment Bank Technology (CCIBT) engineering and transformation office. Learn more about the career areas and lines of business at wellsfargojobs.com .
This role is pivotal in building the next-generation Credit Intelligence AI platform for the Commercial Lending and Credit Financial Solutions organization.
You will lead the design and implementation of advanced AI/ML systems, leveraging Large Language Models (LLMs), transformers, LangChain, LangGraph, and RAG architectures. You will also bring deep expertise in Python, microservices, SQL, ETL pipelines, and cloud-native development.

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
• 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
• Troubleshoot and resolve complex technical issues related to applications and model
• Architect, design, and deploy scalable AI/ML applications using Python, transformers, and deep learning frameworks.
• Implement and fine-tune LLMs (e.g., GPT-4o, Claude, Gemini) for summarization, inference, chatbots, and RAG pipelines.
• Develop and maintain microservices using FastAPI, Flask, and gRPC, with robust RESTful and asynchronous APIs.
• Design and implement ETL pipelines for structured and unstructured data using Apache Airflow or custom Python-based solutions.
• Work with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis, Cassandra) to support data ingestion, transformation, and retrieval.
• Integrate with internal and external systems using Kafka, Solace, and event-driven architectures.
• Ensure high availability, scalability, and performance of AI systems through containerization (Docker, Kubernetes) and cloud platforms (GCP, OpenShift, Tanzu)

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
• 3+ years of experience with Python
• 3+ years of experience with SQL and NoSQL databases
• 2+ years of experience with MicroServices to implement and consume REST APIs

Desired Qualifications:

• 3+ years of Java engineering experience
• 3+ years of experience in AI/ML, including neural networks, transformers, and LLMs
• 3+ years of experience designing and maintaining ETL pipelines and data workflows.
• 2+ years of experience with LangChain, LangGraph, or similar agentic AI frameworks.
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG architectures.
• Proficiency in Python libraries: NumPy, Pandas, PyTorch, TensorFlow, FastAPI, Flask, PyMongo, SQLAlchemy, Matplotlib.
• Experience with prompt engineering, LLM fine-tuning, and embedding models.
• Familiarity with GitHub Copilot, OpenAI APIs, and cloud-based AI services (e.g., GCP Vertex AI).
• Experience with CI/CD pipelines (Jenkins, GitHub Actions), container orchestration, and DevOps practices.
• Strong understanding of AI ethics, model interpretability, and governance in regulated industries.
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field.
• AI/ML certifications (e.g., TensorFlow Developer, AWS/GCP AI Engineer).

Job Expectations:

• Ability to travel up to 10% of the time
• Position will require ability to work on-site at posted location
• Visa Sponsorship is not available for this position