Wells Fargo is seeking a Cyber AI Principal Engineer to 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.
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 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.
- 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.
- Ensure AI capabilities integrate seamlessly with cyber platforms and data pipelines.
Responsibilities
- 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
- Lead the design and governance of AI/ML architectures used in cybersecurity solutions.
- Drive innovation in applying AI/ML to cyber use cases such as threat detection, anomaly detection, and response automation.
Other
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
- Partner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.
- Facilitate design and working groups to align across teams.
- 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.
