2 дня назад
AI Governance Engineer (AI Security)
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Governance Engineer (AI Security): Designing and implementing security controls, threat models, and incident response capabilities for AI and machine learning systems with an accent on LLMs, model APIs, training data pipelines, and AI-powered applications. Focus on defending against prompt injection, model abuse, data exfiltration, and supply chain risks while securing AI infrastructure and cloud environments.
Location: 100% remote within the United States
Salary: $100,000–$150,000 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 conduct security architecture reviews for LLMs, model APIs, training data pipelines, and AI applications.
- Build incident response capabilities for AI-specific threats, including prompt injection, model abuse, data exfiltration, and supply chain risks.
- Apply application security, identity, cryptography, cloud security, and infrastructure controls to modern AI systems.
- Analyze adversarial machine learning risks and research defenses against common AI failure modes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field.
- 6+ years of security engineering experience, including significant work with AI or ML systems.
- Strong understanding of LLM internals, modern AI architectures, and common failure modes.
- Hands-on experience designing security controls for AI-powered applications.
- Proficiency in Python and at least one systems language.
- Must be authorized 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.
- Knowledge of privacy-preserving machine learning, including differential privacy.
- Experience in regulated industries with strict data-handling requirements.
- Open-source contributions to AI security tooling.
Culture & Benefits
- Full-time direct W-2 employment.
- 100% remote work within the United States.
- Career growth opportunities within an established technology consulting and software development organization.
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