Principal Engineer - Generative AI for Cyber Security Architecture

About this role: Wells Fargo is seeking a Principal Engineer in Technology as part of Cybersecurity. Learn more about the career areas and lines of business at wellsfargojobs.com. As a Principal Engineer, you will serve as a pragmatic software engineer and high-level architect responsible for the strategic implementation of generative AI across our cyber security ecosystem. This role requires a professional with a broad history of solving complex problems across a variety of industries. You will be the technical authority ensuring that AI-driven security initiatives are not just innovative proofs-of-concept, but robust, production-grade systems that scale across the entire institution. In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

AI Lifecycle Orchestration :

Lead the transition of critical AI components from experimental phases to high-availability production environments.

Architectural Stewardship :

Oversee the design and development of system-wide integrations, emphasizing database and systems design, networking, and stream processing to ensure a cohesive security posture.

Operational Optimization :

Leverage deep experience in managing massive data sets to reduce operational overhead, optimize infrastructure billing, and ensure long-term data transparency.

System Modernization :

Direct large-scale refactoring efforts to move legacy or monolithic applications toward high-performance, API and Agent focused, and loosely coupled architectures.

Global Technical Mentorship :

Promote high-quality engineering practices and mentor junior and senior-level staff to foster a culture of pragmatic, diverse technical knowledge.

Multi-Industry Expertise :

Demonstrated success in varied sectors, including building, managing, and securing infrastructure.

Scale and Performance :

A proven track record of managing data and refactoring systems to support large-scale, high-concurrency usage.

Infrastructure Evolution :

Extensive experience navigating the full evolutionary cycle of modern computing—from managing on-site hardware and co-located servers to architecting serverless and cloud-native solutions.

Full-Spectrum Development :

The ability to act as an engineer for rapid product lifecycles while also leading large-scale enterprise integration projects for global clients.

Required Qualifications:

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Advanced knowledge of software design, systems and database architecture, systems administration, stream processing, and large language models. 5+ years of experience in senior or lead roles across multiple high-stakes environments, consistently delivering value through technical leadership.

Desired Qualifications:

Experience with leadership presentations, organizing complex concepts into easy to understand business narratives M.S. in Computer Systems or B.S. with relevant experience. Experience working with data and engineering teams to optimize reports, dashboards and ETL processes. Hands on knowledge of reporting and analytical tools such as Tableau, PowerBI, Python, Alteryx etc., as well as JIRA, Github and the Microsoft Fabric ecosystem including Power Apps and Power Automate. Knowledge of machine learning concepts is a plus. Hands on experience leveraging Python, SQL, Cron, and other analytic enablement tools Strong book-of-work management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience leading risk projects to deliver complex data driven risk management solutions Hands-on ability to manipulate data and tools to prototype and present solutions Confident and self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues Strong written and verbal communicator with excellent presentation skills

Job Expectations:

This role offers an in-office hybrid work schedule The role does not offer Visa sponsorship or transfers 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. $159,000.00 - $279,000.00 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:

26 Apr 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.