Secure AI Systems Engineer
$150,000–$170,000 year
RemoteUnited States
Job Summary
Design and implement security controls, threat models, and incident response capabilities tailored to AI and machine learning systems. Address unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. Lead the design of defenses for both AI-powered applications and the AI infrastructure that supports them, leveraging strong security engineering fundamentals and deep understanding of modern AI system internals. This 100% remote full-time role requires a candidate with six or more years of security engineering experience, including significant work on AI or ML systems, to join an established technology consulting firm delivering cloud, AI, data, and enterprise solutions across the United States.
Required Qualifications
- 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 security controls for AI-powered applications.
- Deep knowledge of application security, identity, and cryptography fundamentals.
- Experience with threat modeling and security architecture review processes.
- Familiarity with adversarial ML, prompt injection, and model abuse research.
- Proficiency in Python and at least one systems language.
- Strong understanding of cloud security and modern infrastructure controls.
- Excellent written and verbal communication skills.
Desired Qualifications
- Publications, talks, or CTF participation in AI security topics.
- Experience with 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.
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