AI Security Auditor – Enterprise AI & Agentic Systems

Location: Ernākulam

AI Security Auditor – Enterprise AI & Agentic Systems

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Position:  AI Security Auditor – Enterprise AI & Agentic Systems
Exp erience: 8 to 15 years
L ocation:
Kochi

JOB DESCRIPTIO N

Role: AI Security Auditor – Enterprise AI & Agentic Systems

Required Information
Details
1  Role
* AI Security Auditor – Enterprise AI & Agentic Systems
2 Required Technical Skill Name
* AI Security, Security Audits, Risk Assessment, Threat Modeling, AI Red Teaming, LLM Security, Agentic AI Security, Responsible AI, Data Privacy, Cloud Security
4 Desired Experience Range
* 8–15 Years
5 Location of Requirement
* Kochi, India

Desired Competencies (Technical/Behavioral Competency)
Must-Have

1. AI Security Audits & Risk Assessment
Conduct end-to-end security audits of AI systems, including:
LLM-based applications
Agentic AI systems
RAG pipelines and AI workflows
Identify vulnerabilities such as:
Prompt injection
Data leakage
Model manipulation
Unauthorized access

2. AI Threat Modeling
Develop and execute threat models for AI systems
Analyze risks across:
Model layer (LLM risks)
Data layer (training + inference data)
Orchestration layer (agents, tools, APIs)
Evaluate attack vectors specific to AI systems

3. Security Testing & Validation
Perform:
Prompt testing and adversarial testing
Red teaming exercises for AI systems
Agent behavior validation (tool usage, autonomy limits)
Validate:
Hallucination risks
Bias and unsafe outputs
Misaligned responses

4. Governance, Compliance & Responsible AI
Ensure adherence to:
Enterprise security policies
Data privacy standards
AI governance frameworks
Assess compliance with:
Regulatory requirements
Internal audit standards
Establish audit trails and explainability mechanisms

5. Data Security & Privacy Assurance
Evaluate handling of:
PII and sensitive enterprise data
Training and inference data flows
Validate:
Data masking and anonymization
Secure data access controls
Ensure privacy-by-design principles are implemented

6. AI System Observability & Monitoring
Audit logging mechanisms for:
Prompts
Responses
Agent actions
Ensure traceability of:
Decision flows
Tool invocations
Recommend improvements in monitoring and alerting

7. Security Architecture Review
Review AI architecture for:
Secure API integration
Identity and access management
Secure agent orchestration
Validate secure deployment patterns across cloud platforms

8. Incident Analysis & Risk Mitigation
Investigate AI-related security incidents
Conduct root cause analysis for:
Data leaks
Incorrect or unsafe AI responses
Define mitigation strategies and preventive controls

9. Collaboration & Advisory
Work closely with:
AI Architects
Platform Engineering teams
Security and Compliance teams
Provide recommendations for:
Secure AI design
Governance frameworks
Support audits, certifications, and regulatory reviews

Required Skills & Expertise

Core Security Skills
Strong foundation in:
Application security
Cloud security
API security
Experience in:
Security audits and risk assessments
Threat modeling frameworks

AI / GenAI Security Skills
Understanding of:
LLM vulnerabilities (prompt injection, jailbreaks)
Agentic AI risks (tool misuse, autonomy risks)
Experience in:
AI red teaming and adversarial testing
AI output validation and evaluation

Technical Skills
Programming:
Python (preferred)
Familiarity with:
LLM frameworks (Lang Chain, Lang Graph, etc.)
APIs and microservices architectures
Knowledge of:
Vector databases, knowledge graphs
Cloud platforms (Azure / AWS / GCP)

Governance & Compliance
Understanding of:
Responsible AI frameworks
Data protection regulations
Experience in:
Audit processes and compliance validation
Security standards and frameworks

Responsibility / Expectations
1 Conduct end-to-end security audits of AI systems, including  LLM-based applications,…