5 дней назад
Lead Cybersecurity Threat and Vulnerability Analyst (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Cybersecurity Threat and Vulnerability Analyst (AI Security): Building and maturing AI Attack Surface Management capabilities across AI applications, models, agents, data pipelines, and supporting infrastructure with an accent on AI risk assessment, threat-informed defense, and security governance. Focus on identifying prompt injection, model manipulation, data leakage, and supply chain risks while developing AI-enabled vulnerability prioritization, automated analysis pipelines, and intelligent remediation workflows.
Location: Charlotte, NC; hybrid work from remote and onsite locations, with residence required within a reasonable daily commute to a facility.
Company
Corporation provides energy services to millions of customers and offers careers focused on operational impact and professional development.
What you will do
- Serve as the cybersecurity subject matter expert for AI technologies deployed across the enterprise.
- Develop AI Attack Surface Management capabilities for discovery, inventory, monitoring, assessment, and risk prioritization.
- Assess risks affecting AI applications, agents, LLMs, RAG implementations, third-party AI platforms, and AI-enabled business processes.
- Establish security requirements, standards, controls, architecture reviews, and risk assessments for AI deployments.
- Drive AI-enabled cybersecurity capabilities for vulnerability prioritization, attack surface visibility, automated analysis, and remediation workflows.
- Communicate complex AI and cyber risks to senior leadership while mentoring cybersecurity professionals and leading cross-functional initiatives.
Requirements
- Bachelor’s degree in Cybersecurity, Computer Science, Engineering, MIS, or a related field, plus at least 8 years of related work experience; alternatively, a high school diploma/GED plus 12 years of related experience.
- At least 7 years of cybersecurity experience in areas such as security architecture, application security, cloud security, attack surface management, threat and vulnerability management, or threat intelligence.
- Experience assessing AI technology risks or using AI-enabled capabilities for cybersecurity operations, automation, analytics, or risk prioritization.
- Ability to lead complex cybersecurity initiatives involving multiple stakeholders and translate technical risks into business recommendations.
- Strong analytical, communication, and problem-solving skills.
- Must be legally authorized to work in the United States without current or future employment-based immigration sponsorship.
Nice to have
- Experience securing AI, machine learning, generative AI, agentic AI, or data science environments.
- Experience with AI governance, AI risk management, AI security controls, or adversarial machine learning.
- Experience with cloud-native security technologies, modern application architectures, AI-enabled security tooling, automation platforms, analytics, or security orchestration.
- Familiarity with NIST AI RMF, NIST Cybersecurity Framework, NERC CIP, PCI DSS, or related standards.
- Certifications such as CISSP, CISM, GCIH, GSEC, or GRID.
Culture & Benefits
- Hybrid mobility classification with remote and onsite work after onboarding.
- Office-based working environment.
- Opportunities for growth, development, recognition, and competitive pay and benefits.
- No regular travel is required.
- No relocation assistance is provided.
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