AI Security Engineer

Optomi, in partnership with a leading organization within the media space is seeking an AI Security Engineer (Detection & Response) to help secure AI systems across the enterprise. This role focuses on detecting, investigating, and responding to threats targeting or leveraging AI, including LLMs, APIs, and AI-driven applications.

This is a hands-on role at the intersection of AI and security engineering. The ideal candidate is a builder who can develop detection capabilities, automate workflows, and respond to emerging threats in a rapidly evolving landscape

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What the right Security Engineer will Enjoy

AI Threat Detection & Monitoring

• Design and implement detection logic for AI-specific threats, including prompt injection, adversarial inputs, model misuse, and data poisoning.
• Monitor AI systems for anomalous behavior, misuse patterns, and indicators of compromise.
• Build and maintain detection pipelines integrated with SIEM/SOAR platform

Incident Response

• seInvestigate and respond to AI-related security incidents, including model manipulation, API abuse, and unauthorized AI usage
• Develop and maintain incident response runbooks tailored to AI system
• Perform forensic analysis on AI applications, models, and associated dat

a.Security Engineering & Automation

• Develop tools and automation to support AI security monitoring, testing, and response workflow
• Integrate security controls into AI/ML development pipelines (MLSecOps
• Evaluate third-party AI tools, APIs, and integrations for security ris

k.Research & Threat Intelligence

• Track emerging AI attack techniques, jailbreaks, and adversarial method
• Contribute to internal threat intelligence and detection use case
• Participate in red team exercises targeting AI systems and LLM-based application

Required Qualificatio

• Bachelor’s degree in a related field or equivalent experience
• 3–6 years of experience in security engineering, detection & response, or a related discipline
• Strong Python skills; familiarity with scripting or backend languages is a plus
• Hands-on experience with AI/ML systems, APIs, or LLM-based applications
• Understanding of prompt engineering concepts and LLM behavi
• Experience with SIEM platforms (e.g., Splunk, Elastic) and detection development
• Familiarity with MITRE ATT&CK and threat modeling techniques
• Strong analytical and investigative skills
• Ability to communicate technical findings clearly to diverse stakeholders

Preferred

• Experience building or securing LLM-integrated applications
• Familiarity with agent frameworks (LangChain, AutoGen, CrewAI)
• Understanding of MLOps pipelines and associated security risks
• Experience with adversarial ML techniques (e.g., model extraction, evasion
• Knowledge of AI governance frameworks (e.g., NIST AI RMF, EU AI Acts)
• Experience with cloud AI platforms (AWS, Azure, GC
• Security certifications (e.g., CISSP, GCIH, GCIA) or equivalent experience
• Contributions to open-source or security research
• Build a strong understanding of the AI environment and identify key detection gaps
• Contribute to detection logic and participate in an AI-related incident or simulation.