AI Cybersecurity Engineer Principal

Huntington National Bank is seeking an AI Cybersecurity Engineer Principal responsible for designing and securing AI-driven solutions to enhance cybersecurity capabilities. This role focuses on integrating AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation and secure application architectures.

Responsibilities:

• Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases
• Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines
• Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring
• Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort
• Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights
• Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines
• Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms)
• Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices
• Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Requirements:

• Bachelor's Degree or 4+ additional years of equivalent experience
• 8+ years of production support and design of Cyber Security technologies
• 8+ years of operational experience with security technologies
• 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle)
• Experience in the implementation of cyber security tools (hardware and software)
• Experience in participating and leading projects and implementing new technologies and solutions
• Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
• Experience implementing AI governance, model risk management, and security guardrails
• Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
• Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills
• Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities
• Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications
• Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability
• Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity
• Knowledge of data engineering, streaming analytics, and log/telemetry processing
• Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls