AI Cybersecurity Engineer Principal

Huntington National Bank•Atlanta, GA

3d•Remote

About The Position

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

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).

Nice To Haves

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.

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.