Accountabilities:

• Design and implement security controls tailored to AI-powered applications, machine learning systems, LLMs, model APIs, and supporting infrastructure.
• Develop threat models and security architecture reviews for AI systems, identifying vulnerabilities, attack paths, and appropriate mitigation strategies.
• Assess and defend against AI-specific threats such as prompt injection, model abuse, adversarial machine learning, data exfiltration, and supply chain attacks.
• Apply established application security, identity, access management, cryptography, and cloud security principles to AI environments.
• Evaluate AI architectures, model deployment patterns, training data pipelines, APIs, and infrastructure for security risks.
• Develop and strengthen incident response capabilities for AI and ML-related security events.
• Collaborate with engineering, infrastructure, data science, and AI teams to embed security throughout the AI development and deployment lifecycle.
• Use Python and systems-level programming to develop security tooling, automation, testing capabilities, or defensive solutions.
• Conduct or support security assessments and red-team exercises against LLM-based products and AI-powered applications.
• Monitor emerging AI security research, attack techniques, vulnerabilities, and industry practices to continuously improve defensive capabilities.
• Contribute to security architecture standards, technical documentation, and recommendations for AI systems.
• Communicate complex security risks and mitigation strategies clearly to both technical and non-technical stakeholders.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related technical discipline.
• 6+ years of professional security engineering experience, including significant hands-on experience with AI or machine learning systems.
• Strong understanding of LLM internals, modern AI architectures, AI application patterns, and common model failure modes.
• Demonstrated experience designing and implementing security controls for AI-powered applications.
• Deep knowledge of application security, identity and access management, cryptography, and cloud security fundamentals.
• Practical experience with threat modeling and security architecture review methodologies.
• Familiarity with adversarial machine learning, prompt injection, model abuse, and other AI-specific attack techniques.
• Strong Python programming skills and proficiency in at least one systems programming language.
• Understanding of modern cloud infrastructure and associated security controls.
• Excellent written and verbal communication skills, with the ability to explain complex security concepts effectively.
• Experience with LLM red teaming, AI security research, or security-focused CTF participation is a plus.
• Publications, conference presentations, or open-source contributions related to AI security are advantageous.
• Familiarity with privacy-preserving machine learning techniques, including differential privacy, is desirable.
• Experience working with regulated industries or environments involving stringent data protection requirements is a plus.
• Work authorization: U.S. citizens, Green Card holders, EAD holders, and candidates eligible for H-1B transfer are encouraged to apply. New H-1B visa sponsorship is not available for this position.

Benefits:

• Salary: $80,000–$105,000 annually.
• Full-time, direct W2 employment.
• 100% remote work opportunity within the United States.
• Opportunity to work on emerging AI security challenges involving LLMs, machine learning, cloud infrastructure, and AI-powered applications.
• Career growth opportunities within a technology-focused environment.
• Exposure to cutting-edge AI security research, threat modeling, red teaming, and defensive engineering practices.
• Opportunity to contribute to innovative security tooling, methodologies, and AI security solutions.
• Equal employment opportunity and a commitment to an inclusive workplace.