3 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 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, and AI supply chain risks through security architecture and hands-on engineering.
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 security architecture reviews for LLMs, model APIs, training data pipelines, and AI applications.
- Build incident response capabilities for AI-specific threats and security failures.
- Address prompt injection, model abuse, data exfiltration, and AI supply chain risks.
- Apply security engineering practices across identity, cryptography, cloud security, and infrastructure controls.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
- Six or more years of security engineering experience, including significant work on AI or ML systems.
- Strong understanding of LLM internals, modern AI architectures, and common failure modes.
- Hands-on experience designing AI application security controls, threat models, and architecture reviews.
- Deep knowledge of application security, identity, cryptography, cloud security, and modern infrastructure controls.
- Proficiency in Python and at least one systems language, with strong written and verbal communication skills.
Nice to have
- Publications, talks, or CTF participation related to AI security.
- Experience red-teaming LLM-based products.
- Familiarity with privacy-preserving ML techniques such as differential privacy.
- Exposure to regulated industries with strict data-handling requirements.
- Open-source contributions to AI security tooling.
Culture & Benefits
- Full-time direct W-2 employment.
- Remote work within the United States.
- Career growth opportunities within an established technology consulting and software development organization.
Hiring process
- Submit a resume for consideration.
- New H-1B visa petitions are not sponsored; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.
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