AI Security Auditor – Enterprise AI & Agentic Systems

AI Security Auditor – Enterprise AI & Agentic Systems

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Position: AI Security Auditor – Enterprise AI & Agentic Systems

Experience: 8 to 15 years

Location: Kochi

JOB DESCRIPTION

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 (LangChain, LangGraph, 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, Agentic AI systems, RAG pipelines, and AI workflows.

2 Identify vulnerabilities such as prompt injection, data leakage, model manipulation, and unauthorized access.

3 Develop and execute threat models for AI systems across model layer, data layer, orchestration layer, agents, tools, and APIs.

4 Evaluate attack vectors specific to AI systems and recommend security controls.

5 Perform prompt testing, adversarial testing, red teaming exercises, and agent behavior validation.

6 Validate tool usage, autonomy limits, hallucination risks, bias, unsafe outputs, and misaligned responses.

7 Ensure adherence to enterprise security policies, data privacy standards, AI governance frameworks, regulatory requirements, and internal audit standards.

8 Establish and validate audit trails, explainability mechanisms, and Responsible AI controls.

9 Evaluate handling of PII, sensitive enterprise data, training data, and inference data flows.

10 Validate data masking, anonymization, secure data access controls, and privacy-by-design principles.

11 Audit logging mechanisms for prompts, responses, and agent actions.

12 Ensure traceability of decision flows and tool invocations, and recommend improvements in monitoring and alerting.

13 Review AI architecture for secure API integration, identity and access management, secure agent orchestration, and cloud deployment patterns.

14 Investigate AI-related security incidents and conduct root cause analysis for data leaks, incorrect responses, or unsafe AI outputs.

15 Define mitigation strategies, preventive controls, and recommendations for secure AI design and governance frameworks.

16 Work with AI Architects, Platform Engineering teams, Security teams, Compliance teams, and support audits, certifications, and regulatory reviews.

Also please refer below link for downloading application form. If you don’t remember your password, please click forgot password. Fill application form and then download.

TCS iBegin

Please bring all the mandatory documents below in hard copy for the interview:

*Latest Copy of resume

*TCS Application form

*Original and Photocopy of Government ID proof (PAN or Adhaar)

*Passport Size photographs - 2

Professional Skills: Strong analytical, problem‑solving, communication, and ownership mindset's

Eligibility Criteria:

*BE/B.tech/MCA/M.Sc./MS with minimum 3 years of relevant IT-experience post Qualification.

*Only Full-Time courses would be considered.

*Candidates who have attended TCS interview in the last 1 months need not apply.

Referrals are always welcome!!!

Kindly don't apply if already attended interview in last 1 months.

Thanks & Regards

Amrutha