Lead AI Cybersecurity Software Architect (Remote)

Huntington National Bank

United States

À distance

USD 150 000 - 190 000

Plein temps

Il y a 3 jours
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Résumé du poste

Huntington National Bank seeks a Senior Principal Software Developer (AI Cybersecurity) to lead design, development, deployment, and operation of enterprise-scale AI solutions within the Cybersecurity organization. This hands-on tech leader will shape architecture, mentor engineers, and set engineering standards across the SDLC.

Responsibilities include AI solution development, security integration, data pipelines, cloud-native deployment with Kubernetes, and collaboration with cross-functional

Qualifications

  • Bachelor’s Degree or 4+ years of equivalent experience in Software Development.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of experience across the full Software Development Lifecycle (SDLC).
  • 10+ years of software development experience building enterprise applications.

Responsabilités

  • AI Solution Development: design, build, and deploy AI/ML applications for cybersecurity operations.
  • Technical Leadership: mentor engineers and establish engineering standards across teams.
  • Security Integration: embed secure coding practices and data protection into AI pipelines.
  • Cyber Use Case Enablement: develop threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.

Connaissances

Python
Java
C#
JavaScript/TypeScript
Go
SQL
PowerShell

Formation

Bachelor’s Degree or 4+ years in software development
8+ years in cyber security tech
8+ years SDLC expertise
10+ years enterprise app development

Outils

Kubernetes
CI/CD pipelines
SIEM
SOAR
OAuth 2.0

Description du poste

Huntington National Bank seeks a Senior Principal Software Developer (AI Cybersecurity) to lead design, development, deployment, and operation of enterprise-scale AI solutions within the Cybersecurity organization. This hands-on tech leader will shape architecture, mentor engineers, and set engineering standards across the SDLC.

Responsibilities include AI solution development, security integration, data pipelines, cloud-native deployment with Kubernetes, and collaboration with cross-functional

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