Consultant - AI Security Testing & LLM Security Assessment

Role Overview

We are seeking a highly motivated Consultant to join our AI Security practice and help organizations secure Generative AI, Large Language Models (LLMs), Agentic AI solutions, Machine Learning platforms, and AI-enabled business applications.

Key Responsibilities

AI Security Testing & Red Teaming

• Perform security assessments of Generative AI, LLM-based applications, AI Agents, Copilots, RAG implementations, and ML systems.
• Execute AI red team exercises against AI systems to identify:
• Prompt Injection
• Jailbreak attacks
• Data Leakage
• Sensitive Information Disclosure
• Model Manipulation
• Model Theft
• Training Data Extraction
• Hallucination Risks
• AI Abuse Scenarios
• Agentic AI Exploitation
• Conduct adversarial testing and attack simulations against AI applications and APIs.
• Evaluate trust boundaries, attack surfaces, data flows, and model interactions.

LLM & Agentic AI Security

• Assess security of LLM-based applications leveraging OpenAI, Anthropic, Gemini, Llama, Mistral, Azure OpenAI, and other foundation models.
• Review RAG architectures, Vector Databases, AI Gateways, MCP implementations, memory systems, plugins, and AI agent frameworks.
• Perform guardrail effectiveness testing and validation.
• Conduct system prompt reviews and prompt hardening exercises.
• Assess Agentic AI workflows, tool calling mechanisms, orchestration layers, and autonomous decision-making controls.

Desired Certifications

Preferred certifications include:

• CEH
• OSCP
• GWAPT
• GPEN
• CCSK
• Microsoft Azure Security Certifications
• ISC2 CC / CISSP
• Artificial Intelligence Security certifications
• Prompt Engineering or GenAI Certifications