Senior Software AI/ML Quality Engineer

About this role:

Wells Fargo is seeking a Senior Software AI/ML Quality Engineer to ensure the highest level of quality, compliance, and performance for Wells Fargo’s digital platforms, core banking systems, and financial products within our Consumer Technology group.  As a Senior Engineer, you will collaborate with our engineering team to ensure our products are of the highest quality and meet our customers’ expectations.  This is crucial to accelerating our development cycles and ensuring we can scale without compromising on quality.   

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments

• Contribute to large scale planning of strategies

• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

• 4+ 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 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).

• Experience 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 ML Ops practices and tools.

• Knowledge of Rule Engine Technology

Job Expectations:

• AI Development: Design, develop, and implement AI algorithms and models to solve complex business problems.

• Machine Learning Knowledge: Apply machine learning techniques, including 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.

• 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.

• This position is not eligible for Visa sponsorship

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$84,000.00 - $164,400.00

Posting End Date:

13 May 2025

*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.

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.