About this role:

Wells Fargo is seeking a Cyber AI Senior Specialty Software Engineer that will be responsible for the design, development, testing, documentation, and analysis of specific modules or features of new or upgraded software systems and products.

In this role, you will:

• 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, Open Shift containers, GCP public cloud, and other relevant technologies
• Deploy containerized applications using Docker and Kubernetes
• 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

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
• 4+years experience in software development
• 4+ years experience in Python, Java, Open Shift containers, GCP public cloud, and other relevant technologies
• 3+ years of AI and ML concepts, including deep learning, natural language processing or computer vision

Desired Qualifications:

• Knowledge of Chatbots, Transformer models, SWE-Bench is preferred
• Familiarity with agentic frameworks like Lang Chain, Lang Graph, Swarm, CrewAI, Auto Gen, Google ADK
• Exposure to DevOps and testing best practices
• 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
• Experience with the agile development methodologies and version control systems such as GIT
• Certification in AI, machine learning or a related field
• Bachelor’s or master’s degree in computer science, artificial intelligence or a related field

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship

Salary Ranges:

• $119,000 - $187,000 - Charlotte, NC

• $119,000 - $187,000 - Chandler, AZ

• $119,000 - $187,000 - Irving, TX

• $119,000 - $187,000 - Columbus, OH

• $131,000 - $206,000 - Minneapolis, MN

• $143,000 - $224,000 - Iselin, NJ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$119,000.00 - $224,000.00

Benefits:

• Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below.

Visit Benefits:

• Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits

• 401(k) Plan

• Paid time off

• Disability benefits

• Life insurance, critical illness insurance, and accident insurance

• Parental leave

• Critical caregiving leave

• Discounts and savings

• Commuter benefits

• Tuition reimbursement

• Scholarships for dependent children

• Adoption reimbursement

Posting End Date:

18 Mar 2026
**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.