AI Governance Engineer
J
JobgetherCybersecurity and AI
Based in United StatesFull-TimeSenior
Salary100,000 - 150,000 USD per year
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonArtificial IntelligenceCybersecurityMachine LearningLLM
Requirements
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related technical discipline.
- 6+ years of security engineering experience, including significant experience with AI or machine learning systems.
- Strong understanding of LLM architectures, AI system components, and common AI security failure modes.
- Hands-on experience designing security controls for AI-powered applications.
- Strong knowledge of application security, identity management, cryptography, and cloud security principles.
- Experience with threat modeling, security architecture reviews, and risk assessment processes.
- Familiarity with adversarial machine learning, prompt injection techniques, and AI model abuse research.
- Proficiency in Python and experience with at least one systems programming language.
- Strong understanding of modern cloud infrastructure security practices.
- Excellent written and verbal communication skills.
Responsibilities
- Design and implement security controls, governance frameworks, and protection strategies for AI and machine learning systems.
- Develop threat models and security architectures specifically tailored to LLMs, AI applications, model APIs, and training data pipelines.
- Identify and mitigate AI-specific security risks including prompt injection, model abuse, data exfiltration, and supply chain vulnerabilities.
- Conduct security reviews of AI-powered applications and supporting infrastructure.
- Establish incident response capabilities for AI-related security events.
- Analyze AI system vulnerabilities and develop practical defense mechanisms.
- Collaborate with engineering, cybersecurity, and technology teams to integrate secure AI practices throughout development lifecycles.
- Support responsible AI adoption by helping teams understand risks, controls, and governance requirements.
- Contribute to continuous improvement of AI security standards, processes, and best practices.
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