About this role:

Wells Fargo is seeking a Lead Software Engineer in our Architecture and Engineering Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.

• 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

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
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• 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

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
• 5+ years of hands-on programming experience with either Java, C#, and/or python
• 3+ Experience with data pre-processing, feature engineering, and model evaluation
• 2+ years experience designing, developing, and deploying Machine Learning technology

Desired Qualifications:

• Experience with NLP techniques such as tokenization, embeddings, transformers, and attention mechanisms
• 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

Job Expectations:

This position is not eligible for Visa sponsorship

Job Location:

6051/6061 N State Hwy 161 - Irving, Texas 75038

1245 Jordan Creek Pkwy - West Des Moines, Iowa 50266

Posting End Date:

*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, 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 US: 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.

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.