Senior Principal Software Developer (AI Cybersecurity)

Huntington National Bank•Columbus, OH

1d•Remote

About The Position

This is a remote position; seeking local candidate to Columbus, OH preferably or within corporate footprint (see location details). We are seeking a highly experienced Senior Principal Software Developer (AI Cybersecurity) to lead the design, development, deployment, and operation of enterprise-scale software and AI solutions in Huntington's Cybersecurity organization. This individual will possess deep expertise across the full software development lifecycle, including architecture, development, testing, security, DevSecOps, cloud engineering, AI agent development, and production operations. The ideal candidate is a hands-on senior technologist capable of designing and developing complex solutions from concept through production while providing technical leadership, mentoring developers, and establishing engineering standards. This role requires expertise in modern application development, cloud-native architectures, AI-enabled systems, cybersecurity tool integration, container platforms, CI/CD automation, and secure software engineering practices.

Requirements

Bachelor's Degree or 4+ additional years of equivalent experience in Software Development.
8+ years of production support and design of Cyber Security technologies.
8+ years of operational experience with security technologies.
8+ years of expertise across the full Software Development Lifecycle (SDLC), including requirements, architecture, coding, testing, deployment, operations, and lifecycle management.

Nice To Haves

10+ years of software development experience building enterprise applications, platforms, and services.
Experience developing solutions using multiple programming languages such as Python, Java, C#, JavaScript/TypeScript, Go, SQL, PowerShell, and scripting languages.
Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks.
Experience implementing AI governance, model risk management, and security guardrails.
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.
Experience in the implementation of cyber security tools (hardware and software).
Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools).
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.
Serve as a senior technical leader and trusted advisor.
Mentor engineers and elevate engineering capabilities across teams.
Establish development standards, patterns, and best practices.
Evaluate emerging technologies and drive innovation initiatives.
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 Kubernetes, 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 engineering, cybersecurity, architecture, cloud, infrastructure, data, and AI governance teams.