AI Information Security Engineer

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🕒 vor 5 Tagen

🏈 Alabama, Arizona, +30 weitere Bundesländer – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $94.130 - $150.634 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👮‍♂️ IT-Sicherheitsingenieur

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SNHU Careers

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1932

📚 Bildung

🤝 Non-Profit

🎯 Rekrutierung

Education • Non-profit • Recruitment

SNHU Careers ist das Karriere- und Einstellungsportal der Southern New Hampshire University, einer gemeinnützigen Einrichtung, die sich auf die Transformation des Lebens von Lernenden konzentriert. Die Website fördert die missionsgetriebene Kultur der Universität, inklusive Werte, Mitarbeitervorteile (einschließlich Remote-Arbeitsmöglichkeiten und bezahlter Freizeit) und ein breites Spektrum an Jobkategorien von Akademikern und Lehre über Geschäftsprozesse, Unterstützung von Studenten, Marketing bis hin zu Campus-Rollen. Sie ermutigt zur Anmeldung in der Talent-Community und hebt die berufliche Entwicklung, Initiativen zur Diversität und Gleichheit sowie flexible Arbeitsregelungen hervor.

Beschreibung

• Document AI system components and data flows, including prompts, context, embeddings, training data, model artifacts, outputs, and agent tool interactions • In collaboration with the AI team, identify attack surfaces, trust boundaries, and privilege transitions within AI pipelines and agent workflows and perform structured threat modeling for AI systems during design, development, and change cycles in collaboration with the AI team • In collaboration with the AI team, translate identified threats into concrete, relevant security requirements and engineering tasks • Implement technical controls informed by established AI security frameworks according to compliance requirements and AI governance guidance • Design, build, and maintain automated security testing for AI systems within CI/CD pipelines, supports testing for prompt injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse • Ensure AI security controls are validated during build, deployment, and change cycles, with failures surfaced early to engineering teams • Implement technical guardrails to protect sensitive data used by AI systems • Design and operate controls for sensitive data identification, minimization, redaction, and leakage prevention • Implement and operate runtime safeguards for AI services and agent-based systems • Design security controls that balance safety, system performance, reliability, and developer usability in production of AI services • Implement and operate secure identity, secrets, and access control patterns for AI services, agents, and integrations, enforcing least privilege • Instrument AI systems to produce actionable logging, metrics, and traces

🎯 Anforderungen

• 5+ years of experience in IT or cybersecurity, with engineering responsibilities • 2+ years of experience securing AI/ML systems or adjacent domains with demonstrated application to AI workloads • Experience with security engineering principles, including authentication, authorization, logging, and monitoring • Experience with AI/ML concepts such as models, training data, inference pipelines, embeddings, and agent frameworks • Experience modeling data flows, trust boundaries, and attack paths in AI systems • Experience mitigating threats such as prompt injection, model poisoning, model theft, and data leakage • Experience implementing controls such as input validation, output filtering, context isolation, and abuse detection

🏖️ Vorteile

• High-quality, low-deductible medical insurance • Low to no-cost dental and vision plans • 5 weeks of paid time off (plus almost a dozen paid holidays) • Employer-funded retirement • Free tuition program • Parental leave • Mental health and wellbeing resources