Senior Specialty Software Engineer AI/ML Rule Engine

About this role:

Wells Fargo is seeking a Senior Specialty Software Engineer.

In this role, you will:

• Lead or participate in complex initiatives on selected domains
• Assure quality, security and compliance for supported systems and applications
• Serve as a technical resource in finding software solutions
• Review and evaluate user needs and determine requirements
• Provide technical support, advice, and consultation with the issues relating to supported applications
• Create test data and conduct interfaces and unit tests
• Design, code, test, debug and document programs using Agile development practices
• Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
• Assist other individuals in advanced software development
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Required Qualifications:

• 4+ years of Specialty 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 programing language languages such as Java and C#, APIs, etc.
• 2+ years of design, develop, and deploy LLM-powered applications and services.
• 1+ year of experience with NLP techniques such as tokenization, embeddings, transformers, and attention mechanisms.

Desired Qualifications:

• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Experience with deploying machine learning models in production environments and integrating ML into applications.
• Knowledge of MLOps practices and tools.
• Knowledge of Rule Engine Technology
• Experience with data preprocessing, feature engineering, and model evaluation.

Job Expectations:

• AI Development: Design, develop, and implement advanced AI algorithms and models to solve complex business problems.
• Machine Learning Expertise: Apply machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning, to create innovative solutions.
• Data Analysis: Perform data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for AI model training.
• Collaboration: Work closely with data scientists, product managers, and other engineers to integrate AI solutions into existing systems and products.
• Performance Optimization: Optimize AI models for performance, scalability, and efficiency in production environments.
• Project Management: Participate in project planning, estimation, and execution, ensuring timely delivery of AI features and enhancements.
• Code Quality: Write clean, maintainable, and efficient code following best practices and coding standards.

Posting End Date: 

10 Mar 2025

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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, Regul