Wells Fargo is seeking to transform its Global Payments and Liquidity team by leveraging GenAI to accelerate development and build new capabilities, specifically by developing cutting-edge artificial intelligence solutions using large language models, agentic frameworks, and other innovative technologies.
Requirements
- 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4+years experience in software development
- 4+ years experience in Python, java, OpenShift containers, and other relevant technologies
- 3+ years of AI and ML concepts, including deep learning, natural language processing and computer vision
- Knowledge of Chatbots, Transformer models, SWE-Bench is preferred
- Experience with the agile development methodologies and version control systems such as GIT
- Certification in AI, machine learning or a related field
Responsibilities
- Design, develop, and deploy AI applications using Enterprise APIs, LLM's, agent frameworks, and other related technologies
- Collaborate with enterprise teams to integrate LLM models with the existing products and systems
- Develop and maintain large scale applications using Java, Python, OpenShift containers, and other relevant technologies
- Stay up to date with the latest advancements in AI, LLM second agentic frameworks and apply this knowledge to improve existing systems and develop new ones
- Troubleshoot and resolve complex technical issues related to applications and models
- Assist other individuals in advanced software development
Other
- Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture
- They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance)
- 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.
- Bachelor's or Master's degree in computer science, artificial intelligence or a related field
- Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues
- Strong collaboration and communication skills with the ability to work effectively with cross functional teams
