Principal AI Cybersecurity Engineer

Huntington National Bank

AI Cybersecurity Engineer responsible for designing, developing, and securing AI-driven solutions. Bridging AI engineering, cybersecurity, and cloud platforms to enhance cybersecurity operations.

Posted 7/13/2026full-timeMississippi, Missouri, Ohio, Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and deploying AI/ML applications for cybersecurity, with a strong focus on secure coding practices, AI governance, and integration with cybersecurity tools. Proficient in modern programming languages and experienced in implementing security technologies and best practices throughout the technology lifecycle.

Highest-signal resume keywords

AI/ML Application DevelopmentCybersecurity Technologies ImplementationSecure SDLC PracticesRESTful API DesignCloud-Native Solutions Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJava.NET/C#JavaScript/TypeScriptGoRESTful API DevelopmentMicroservices ArchitectureEvent-Driven ServicesData EngineeringLog Processing

Tools & Technologies

SIEMSOAREDR/XDRVulnerability ManagementIAM Tools

Industry Keywords

AI GovernanceModel Risk ManagementCybersecurity OperationsThreat DetectionVulnerability Analysis

Tech Stack

Tools & technologies

CloudCyber SecurityGoJavaJavaScriptMicroservices.NETPythonSDLCTypeScript

About the role

Key responsibilities & impact

Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations
Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications
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
Engineer pipelines and analytics solutions for processing logs, telemetry, and security data
Deploy and manage scalable AI solutions in cloud-native environments
Integrate AI applications with enterprise and cybersecurity tools
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

What you’ll need

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
Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services
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
Knowledge of data engineering, streaming analytics, and log/telemetry processing
Experience integrating applications with identity and access management platforms

Benefits

Comp & perks

Flexible work arrangements
Professional development
Remote work options
Tobacco-Free Hiring Practice