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)