Optomi , in partnership with a leading organization within the media space is seeking an A I 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

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

Investigate 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 data

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

Prefer red

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.