Senior Principal Software Developer (AI Cybersecurity)

AI Cybersecurity Engineer PrincipleThe 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.Duties & ResponsibilitiesAI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilitiesBasic Qualifications: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).Preferred QualificationsExperience in the implementation of cyber security tools (hardware and software)Experience in participating and leading projects and implementing new technologies and solutionsExperience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworksExperience implementing AI governance, model risk management, and security guardrailsFamiliarity 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 processingExperience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.Exempt Status: YesWorkplace Type: RemoteHuntington is an Equal Opportunity Employer.