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Cyber AI Lead Software Specialty Engineer

Wells Fargo

$120,400 - $305,000
Sep 20, 2025
Minneapolis, MN, US
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Wells Fargo is seeking a Cyber AI Lead Software Specialty Engineer to spearhead the design, development, and deployment of next-generation agentic AI systems within the cybersecurity space to automate complex tasks across enterprise workflows.

Requirements

  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Hands-on experience with building and scaling GenAI solutions and agentic workflows
  • Identify and apply GenAI and intelligent automation for faster discovery, documentation, design generation, code scaffolding, and test automation.
  • Ensure AI capabilities integrate seamlessly with cyber platforms and data pipelines.
  • 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.
  • Maintain high-quality documentation of architecture, design decisions, and patterns.

Responsibilities

  • Lead complex initiatives on selected domains
  • Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
  • Define opportunities to maximize resource utilization and improve processes while reducing cost
  • Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
  • Resolve coding, testing and escalated platform issues of a technically challenging nature
  • 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.

Other

  • Lead a team of AI engineers
  • Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
  • Mentor less experienced software engineers
  • Collaborate and influence all levels of professionals including managers
  • Partner with product managers, platform teams, and cyber operations to align technical solutions with business objectives.