Lead Specialty Software Engineer

Wells Fargo

. Spearhead the design, development, and deployment of next-generation agentic AI systems for cybersecurity .

Posted 11/9/2026full-timeUnited StatesSenior💰 $159,000 - $254,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI systems for cybersecurity, with a strong focus on compliance, risk management, and ethical standards. Proficient in leveraging cloud-native infrastructure and advanced software engineering practices to build scalable and robust solutions.

Highest-signal resume keywords

Go Lang DevelopmentKubernetes ExpertiseGenAI Solutions DevelopmentCloud Infrastructure ManagementAI Compliance and Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringJava ProgrammingPython ProgrammingMicroservices ArchitectureAI-Assisted DevelopmentSystem DesignTesting and ImplementationOperational EfficiencyResource UtilizationTechnical Risk Mitigation

Soft Skills

Team LeadershipMentoringCollaborationInfluencingCommunication

Tools & Technologies

GCPDockerOpenShiftTerraformGitHub CopilotLangChainLangGraphADKAI ModelsData Pipelines

Certifications & Qualifications

Advanced Software Engineering Degree

Industry Keywords

CybersecurityAI EthicsOperational Risk ManagementCompliance StandardsCloud-Native Infrastructure

Tech Stack

Tools & technologies

CloudCyber SecurityDockerGoogle Cloud PlatformJavaKubernetesMicroservicesOpenShiftPythonTerraformGo

About the role

Key responsibilities & impact

Spearhead the design, development, and deployment of next-generation agentic AI systems for cybersecurity
Lead a team of AI engineers building robust, scalable, and ethical AI solutions
Lead complex initiatives across selected domains
Monitor systems to increase operational efficiency and manage risk
Define opportunities to maximize resource utilization, improve processes, and reduce cost
Lead, design, develop, test, and implement applications, system components, tools, utilities, models, simulations, and analytics
Resolve technically challenging coding, testing, and escalated platform issues
Ensure compliance and risk management requirements are met
Mentor less experienced software engineers
Collaborate with and influence professionals at all levels, including managers
Partner with production support and platform engineering teams
Evaluate emerging technologies and lead proof-of-concepts and pilots
Apply GenAI and intelligent automation to discovery, documentation, design generation, code scaffolding, and test automation
Partner with product managers, platform teams, and cyber operations
Integrate AI capabilities with cyber platforms and data pipelines
Identify and mitigate technical risks associated with AI in cybersecurity
Ensure models and AI systems comply with security, privacy, and ethical AI standards
Maintain architecture, design decision, and pattern documentation
Lead training sessions and contribute to internal best practices
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs into solutions

Requirements

What you’ll need

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
3+ years of hands-on experience with Go Lang design and development building enterprise-scale backend microservices
Strong Java experience
Python preferred
3+ years of GCP experience
Expertise in Kubernetes, OpenShift, Docker, Terraform, and cloud-native infrastructure
2+ years developing GenAI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks
Strong architecture and design expertise across scalability, security, and performance
Advanced software engineering or technical degree desired
Proficiency in AI-assisted development and analysis tools, such as GitHub Copilot and approved code-centric agents
Ability to account for model limitations, security risks, and operational considerations
Ability to apply AI responsibly in development and production environments
Ability to align AI usage with security, compliance, privacy, and ethical standards
Position is not eligible for Visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Incentive opportunities may be available