About this role:

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

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

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.