About this role:

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.

In this role, you will:

• 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

Required Qualifications:

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of hands-on experience with Go Lang design and development building enterprise-scale backend microservices, with strong Java experience; Python preferred.
• 3+ years of GCP experience, with expertise in Kubernetes, OpenShift, Docker, Terraform, and cloud-native infrastructure
• 2+ years developing GenAI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks, with strong architecture and design expertise across scalability, security, and performance.

Desired Qualifications:

• Advanced software engineering or technical degree
• 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.

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Pay Range
 

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.