Wells Fargo

Lead Software Engineer, Cyber AI

Wells Fargo

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $120,400 - $287,600 per year

Job Level

Senior

Tech Stack

Cyber Security

About the role

  • Lead design, development, and deployment of next-generation agentic AI systems within cybersecurity
  • Lead a team of AI engineers to build robust, scalable, and ethical AI solutions
  • Define opportunities to maximize resource utilization, improve processes, and reduce cost
  • Ensure systems are monitored to increase operational efficiency and mitigate risk
  • Lead, design, develop, test and implement applications, system components, tools, utilities, models, simulations, and analytics
  • Resolve coding, testing, and escalated platform issues
  • Ensure compliance and risk management requirements are met and implement key risk initiatives
  • Mentor less experienced software engineers and promote knowledge sharing
  • Collaborate and influence all levels of professionals including managers
  • Partner with production support, platform engineering, product managers, and cyber operations
  • Drive innovation by evaluating emerging technologies and developing proofs-of-concept and pilots
  • Maintain high-quality documentation of architecture, design decisions, and patterns
  • Lead training sessions and contribute to internal best practices

Requirements

  • 5+ years of Specialty Software Engineering experience
  • Specialty Software Engineering experience may be demonstrated via work experience, training, military experience, or education
  • Hands-on technical leadership and innovation in AI/ML for cyber use cases
  • Hands-on experience building and scaling GenAI solutions and agentic workflows
  • Experience applying GenAI and intelligent automation for discovery, documentation, design generation, code scaffolding, and test automation
  • Experience evaluating emerging technologies and developing proofs-of-concept and pilots
  • Experience with threat detection, anomaly detection, and response automation use cases
  • Risk management and compliance oversight experience ensuring models comply with security, privacy, and ethical AI principles
  • Cross-functional collaboration with product managers, platform teams, and cyber operations
  • Mentoring and knowledge-sharing experience
  • Ability to resolve complex coding, testing, and platform issues
  • Eligible to work in the U.S.; position not eligible for Visa sponsorship
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