AI Red Team Analyst

About the Role

The AI Red Team Analyst role is a full-time, on-site position based in New Delhi. The analyst will systematically probe AI systems for vulnerabilities, misuse potential, and safety gaps by designing and executing adversarial tests, red-teaming scenarios, and stress tests against models and pipelines.

Key Responsibilities

• Developing threat models
• Creating attack frameworks
• Documenting findings
• Collaborating with engineering and product teams to recommend mitigation strategies and design improvements
• Monitoring emerging AI security and safety research
• Contributing to internal standards and playbooks
• Helping to ensure that AI solutions used in digital forensics, intelligence, and surveillance are robust, secure, and aligned with regulatory and ethical requirements

Requirements & Tech Stack

• Proficiency in Python or similar languages
• Familiarity with common ML frameworks (e.g., PyTorch, TensorFlow)

Qualifications

• Strong foundation in AI/ML concepts, including model architectures, training pipelines, and evaluation methods.
• Experience with red-teaming, penetration testing, or offensive security practices applied to AI systems.
• Understanding of adversarial machine learning, prompt injection, data poisoning, model extraction, and related attack vectors.
• Ability to design experiments, analyze results, and communicate complex technical findings in clear, structured reports.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, Engineering, or a related technical field, or equivalent practical experience.
• Comfort working in secure, on-site environments and collaborating with multi-disciplinary teams under confidentiality constraints.
• Strong ethical judgment, attention to detail, and a commitment to building safe and trustworthy AI systems.
• Knowledge of security, privacy, and compliance considerations in intelligence, law enforcement, or defense contexts is an advantage.