2 дня назад
AI Cybersecurity Engineer
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Cybersecurity Engineer (LLM and Cloud Security): Designing and implementing security controls, threat models, and incident response capabilities for AI and machine learning systems with an accent on LLM security, model APIs, training data pipelines, and AI-powered applications. Focus on defending against prompt injection, model abuse, data exfiltration, supply chain risks, and securing modern cloud infrastructure.
Location: 100% remote within the United States
Salary: $100,000–$120,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Design and implement security controls for AI-powered applications and supporting AI infrastructure.
- Develop threat models and security architecture reviews for LLMs, model APIs, training data pipelines, and AI systems.
- Build incident response capabilities for AI and machine learning environments.
- Address prompt injection, model abuse, data exfiltration, and AI supply chain risks.
- Design defenses based on practical understanding of modern AI architectures and their failure modes.
Requirements
- Work authorization: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates may apply; new H-1B petitions cannot be sponsored.
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
- 6+ years of security engineering experience, including significant work with AI or ML systems.
- Strong understanding of LLM internals, modern AI architectures, application security, identity, cryptography, cloud security, and infrastructure controls.
- Hands-on experience designing AI application security controls, threat modeling, and security architecture reviews.
- Proficiency in Python and at least one systems language, with strong written and verbal communication skills.
Nice to have
- Publications, talks, or CTF participation in AI security.
- Experience red-teaming LLM-based products.
- Knowledge of privacy-preserving ML techniques such as differential privacy.
- Experience with regulated industries and strict data handling requirements.
- Open-source contributions to AI security tooling.
Culture & Benefits
- Full-time direct W2 employment.
- Fully remote work arrangement within the United States.
- Career growth opportunities within an established technology organization.
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