AI Security Engineer

Job Description Role Overview This role involves working closely with customers to identify security gaps, implement safeguards, and ensure robust protection across AI-driven solutions. Key Responsibilities Secure GenAI, ML, and agentic systems delivered to customers Act as a customer-facing advisor to identify and remediate AI security risks and gaps Perform prompt injection and jailbreak testing on LLM-based systems Conduct LLM risk assessments and security evaluations Define, implement, and validate LLM guardrails and safety scorecards Establish and review model access controls and usage policies Secure embeddings, vector databases, inference APIs, and agent permissions Support AI security reviews, audits, and sign-offs with client security teams Mandatory Requirements 5 to 8 years of experience in cybersecurity with exposure to AI/ML or data platforms Strong experience in securing APIs, data flows, and cloud-based AI workloads Hands-on experience working in customer-facing environments Preferred Skills Understanding of GenAI / LLM security fundamentals Experience with prompt injection and jailbreak techniques Exposure to API and data security red teaming for agent-based systems Familiarity with OWASP Top 10 for LLMs and Agentic AI Awareness of AI-relevant threat frameworks such as MITRE ATT&CK Education & Certifications Bachelor’s degree in Engineering or related field Security certifications such as CEH or OSCP (preferred) AI or Cloud certifications (nice to have) Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.