Lead Specialty Software Engineer

Wells Fargo & Company•Irving, TX

1d•Hybrid

About The Position

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. In this role, you will lead a team of AI engineers to build robust, scalable, and ethical AI solutions that 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

Nice To Haves

Advanced software engineering or technical degree
Hands-on Technical Leadership and Innovation
Hands-on experience with building and scaling GenAI solutions and agentic workflows
Cross-Functional Collaboration and Alignment
Risk Management and Compliance Oversight
Document and Knowledge Sharing

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
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
Lead team to achieve objectives
Partner with production support and platform engineering teams effectively
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.
Identify and apply GenAI and intelligent automation for faster discovery, documentation, design generation, code scaffolding, and test automation.
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.
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.
Mentor engineers and promote knowledge sharing across the cyber and AI communities.
Lead training sessions and contribute to internal best practices.