Senior AI Security Engineer

Ontic

1d•$140,000 - $160,000•Hybrid

About The Position

Ontic is seeking an experienced and forward-thinking AI Security Engineer to lead the development and implementation of security controls, governance frameworks, and risk management practices for Artificial Intelligence (AI) technologies across the organization. This role will be responsible for helping define AI usage policies, assessing risks associated with AI adoption, implementing security guardrails, and ensuring AI systems are deployed responsibly and securely. The ideal candidate combines expertise in cybersecurity, risk management, and emerging AI/ML platforms with a strong understanding of governance, compliance, and secure development practices.

Requirements

BA/BS or higher in Cybersecurity, Computer Science, Information Technology, Management Information Systems, or a related field
5+ years experience in information security-related roles
Knowledge of AI technologies, Large Language Models (LLMs), generative AI platforms and AI development tools
Direct, hands-on experience with AI platforms such as OpenAI (ChatGPT, Codex), Anthropic (Claude Chat, Code, Cowork), Cursor, Google Gemini and AWS Bedrock
Experience with cloud security or application security
Deep understanding of the NIST AI Risk Management Framework, ISO42001 OWASP Top 10 for LLM Applications and MITRE ATLAS
Excellent written and verbal communication skills
Extremely organized and able to oversee multiple projects simultaneously

Nice To Haves

Professional certifications such as CISSP, CCSP, CISM, ISO42001 or other AI security certification

Responsibilities

Develop, maintain, and enforce policies and procedures governing the use of AI technologies
Partner with Legal, Privacy, and Technology teams to establish responsible AI governance frameworks
Monitor evolving regulatory requirements and industry standards related to AI security, privacy, and governance
Conduct security and risk assessments of AI platforms, models, and applications
Review proposed AI use cases and provide security recommendations prior to deployment
Develop risk mitigation strategies and compensating controls for identified AI-related threats
Design and implement technical guardrails for AI platforms and applications
Develop secure integration patterns for AI services and APIs
Evaluate and recommend AI security tools and technologies
Collaborate with engineering teams to integrate security controls into AI-enabled applications
Develop monitoring and detection capabilities for AI-related security events
Provide guidance and training to employees on secure and responsible AI usage