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

📌 Consultant - AI Security Testing & LLM Security Assessment (Mumbai)
🏢 KPMG Assurance and Consulting Services
📍 Mumbai