AI Security Engineer

Overview

Role Overview

We are seeking an experienced AI Security Engineer to secure and assess GenAI, ML, and agentic systems. 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)