обновлено 2 дня назад
Secure AI Systems Engineer
150 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Secure AI Systems Engineer (AI Security): Designing and implementing security controls, threat models, and incident response capabilities for LLMs, model APIs, training data pipelines, and AI-powered applications with an accent on prompt injection, model abuse, data exfiltration, and supply chain risks. Focus on designing defenses for AI applications and infrastructure, reviewing security architectures, and addressing adversarial ML and cloud security challenges.
Location: 100% remote within the United States
Salary: $150,000–$170,000 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 infrastructure.
- Develop threat models and conduct security architecture reviews for AI and machine learning systems.
- Build incident response capabilities addressing prompt injection, model abuse, data exfiltration, and supply chain risks.
- Design defenses for LLMs, model APIs, training data pipelines, and AI-powered products.
- Apply security engineering fundamentals across application security, identity, cryptography, cloud security, and infrastructure controls.
Requirements
- 6+ years of security engineering experience, including significant work with AI or ML systems.
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
- Strong understanding of LLM internals, modern AI architectures, and common failure modes.
- Hands-on experience with AI application security controls, threat modeling, and architecture reviews.
- Proficiency in Python and at least one systems language.
- Must be eligible to work in the United States; new H-1B visa petitions cannot be sponsored.
Nice to have
- Publications, talks, or CTF participation in AI security.
- Experience red-teaming LLM-based products.
- Familiarity with differential privacy and other privacy-preserving ML techniques.
- Experience in regulated industries with strict data handling requirements.
- Open-source contributions to AI security tooling.
Culture & Benefits
- Full-time direct W-2 employment.
- Established organization with opportunities for career growth.
- Fully remote work within the United States.
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