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Senior Cybersecurity Engineer – AI Security

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da The Home Depot, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 2 dias atrás

Ainda aberta no site da The Home Depot. Verificada 1 hora atrás.

Logo of The Home Depot

The Home Depot

10.000+ funcionários

Fundada em 1978

🏗️ Construção

📦 Logística

🛒 Varejo

💰 Debt Financing em 2007-07

Construction • Logistics • Retail

A Home Depot é um dos principais varejistas de melhoria do lar, oferecendo uma ampla variedade de materiais de construção, produtos para melhoria do lar, artigos para jardim e relacionados. A empresa opera tanto em lojas físicas quanto em uma plataforma online, fornecendo soluções abrangentes para entusiastas de DIY, empreiteiros profissionais e proprietários de imóveis. A Home Depot está comprometida com a diversidade, equidade e inclusão, proporcionando oportunidades de emprego e benefícios a uma força de trabalho diversificada. Além disso, a empresa dá grande ênfase ao atendimento ao cliente e ao engajamento dos colaboradores para manter sua posição como líder confiável no setor de melhoria de residências.

Descrição

• Advise on the security posture of AI models, AI bills of materials and SaaS agents from pre-production scanning through post-production remediation • Act as advisory engineer for AI-BOM, AI-SPM and AI SaaS agent security • Advise on pre-production model scanning in CI/CD pipelines, including policies that block or flag risky models and maintain a complete model inventory • Advise on post-production scanning of running models and remediation of high and critical findings within defined SLAs • Ensure models, datasets, libraries and dependencies behind AI systems are inventoried and tracked • Advise on SaaS agent security tooling across AI platforms, including policies and complete agent inventory • Classify third-party AI SaaS applications as approved or unapproved and build repeatable threat-modeling and security-policy programs • Advise on a Shadow AI dashboard discovering models, applications, agents and MCP servers • Design automation workflows for data collection, investigation and incident response • Develop threat-hunting and data-analysis strategy and capabilities • Identify technologies, methodologies and approaches for detecting malicious activity • Use indicators to scope and proactively respond to emerging threats • Design, build, configure, maintain and monitor cybersecurity threat-defense capabilities and user access management • Troubleshoot application-level issues with engineering and platform teams • Document standards, runbooks, policies and exceptions • Work across teams to complete tasks and drive findings to remediation

🎯 Requisitos

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • Minimum education: high school diploma and/or GED • Minimum 3 years of work experience • 5+ years of hands-on experience in data security and/or application security, including engineering and administering security tooling in an enterprise environment (preferred) • Working knowledge of AI and ML model development, training, packaging and deployment, including model formats, registries and associated risks (preferred) • Experience advising engineering teams on security tooling and policy, including AI-BOM, AI-SPM or comparable software supply chain and posture management practices (preferred) • Experience with CI/CD pipelines and release processes, including security scanning, policy gates and security product deployment (preferred) • Experience troubleshooting security tools and integrations at the application level with engineering and platform teams (preferred) • Experience building and maintaining inventories and dashboards for models, applications, agents and APIs, and driving remediation against defined SLAs (preferred) • Experience working across multiple teams, with strong written and verbal communication skills (preferred) • Strong documentation skills, including policies, standards, runbooks and intake procedures (preferred) • Ability to leverage AI tools for scripting, analysis, documentation and operational efficiency while maintaining data protection and accuracy (preferred) • Preferred experience with model scanning, SaaS security posture, SBOM or AI-BOM tooling, or third-party risk and threat modeling programs • Preferred previous experience leading, coaching or mentoring team members

🏖️ Benefícios

• Remote/Virtual work arrangement • No travel required

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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