CYBER AI Principal Engineer at Wells Fargo
Chandler, Arizona, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Nov, 25

Salary

305000.0

Posted On

05 Aug, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Architecture, Compliance Oversight, Training, Cyber Operations, Security, Oversight, Design Principles, Anomaly Detection, Models, Scalability, Emerging Technologies, Technical Leadership, Teams, Design

Industry

Information Technology/IT

Description

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.
$159,000.00 - $305,000.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Required Qualifications:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educatio

Desired Qualifications:

  • AI Architecture and Design Authority
  • Lead the design and governance of AI/ML architectures used in cybersecurity solutions.
  • Define and enforce design principles, standards, and integration patterns for AI capabilities.
  • Review and approve technical designs to ensure scalability, security, and compliance.
  • Technical Leadership and Innovation
  • Drive innovation in applying AI/ML to cyber use cases such as threat detection, anomaly detection, and response automation.
  • Evaluate emerging technologies and lead the development of proof-of-concepts and pilots.
  • Serve as a subject matter expert guiding teams across cybersecurity and engineering.
  • Cross-Functional Collaboration and Alignment
  • Partner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.
  • Ensure AI capabilities integrate seamlessly with cyber platforms and data pipelines.
  • Facilitate design and working groups to align across teams.
  • Risk Management and Compliance Oversight
  • Identify and mitigate technical risks associated with AI use in cybersecurity.
  • Ensure models and AI systems comply with internal security policies, privacy standards, and ethical AI principles.
  • Provide oversight into model explainability, fairness, and security
  • Document and Knowledge Sharing
  • Maintain high-quality documentation of architecture, design decisions, and patterns.
  • Mentor engineers and promote knowledge sharing across the cyber and AI communities.
  • Lead training sessions and contribute to internal best practices
Responsibilities

Wells Fargo is seeking a Cyber AI Principal Engineer that will operate with a high level of independence, making critical decisions on AI architecture, solution design, and risk management without the need for close supervision. The resource will define technical strategies, approve designs, and ensure compliance with minimal escalation, serving as a trusted authority across cybersecurity, data science, and engineering teams. Their autonomy enables rapid, expert decision-making while aligning with enterprise goals and governance standards.

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

Required Qualifications:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • AI Architecture and Design Authority
  • Lead the design and governance of AI/ML architectures used in cybersecurity solutions.
  • Define and enforce design principles, standards, and integration patterns for AI capabilities.
  • Review and approve technical designs to ensure scalability, security, and compliance.
  • Technical Leadership and Innovation
  • Drive innovation in applying AI/ML to cyber use cases such as threat detection, anomaly detection, and response automation.
  • Evaluate emerging technologies and lead the development of proof-of-concepts and pilots.
  • Serve as a subject matter expert guiding teams across cybersecurity and engineering.
  • Cross-Functional Collaboration and Alignment
  • Partner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.
  • Ensure AI capabilities integrate seamlessly with cyber platforms and data pipelines.
  • Facilitate design and working groups to align across teams.
  • Risk Management and Compliance Oversight
  • Identify and mitigate technical risks associated with AI use in cybersecurity.
  • Ensure models and AI systems comply with internal security policies, privacy standards, and ethical AI principles.
  • Provide oversight into model explainability, fairness, and security
  • Document and Knowledge Sharing
  • Maintain high-quality documentation of architecture, design decisions, and patterns.
  • Mentor engineers and promote knowledge sharing across the cyber and AI communities.
  • Lead training sessions and contribute to internal best practices.

Job Expectations:

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

Locations:

  • 300 S Brevard St, Charlotte, NC 28202
  • 1302 El Camino, Menlo Park, CA 94025
  • 2600 S Price Rd, Chandler, Arizona 85286
  • 194 S Wood Ave, Iselin, NJ 08830

Salary Ranges:

  • $159,000 - $254,000 - Charlotte, NC
  • $159,000 - $254,000 - Chandler, AZ
  • $191,000 - $305,000 - Menlo Park, CA
  • $191,000 - $305,000 - Iselin, NJ
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