AI Security

WOW Softech; Mumbai, Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Big4 in India seeks an AI Security Consultant / Assistant Manager to lead security engagements across AI systems, threat modeling, and secure-by-design practices in a client-facing role in Pune/Mumbai. In-person interview process follows initial screening.

The position requires deep hands-on AI security expertise and the ability to lead assessments for AI/LLM deployments, with a focus on secure development and implementation of zero-trust principles for AI.

Qualifications

• AI Security Architecture
• AI Threat Modeling
• AI Red Teaming / Adversarial Testing
• LLM / GenAI Security
• RAG, Agents & Copilots Security
• Secure AI / Secure-by-Design
• AI Security Assessments
• MLOps / ML Pipeline Security
• AI Security across Training, Model Development, Deployment, Inference & Monitoring
• AI Attack Techniques, Vulnerabilities & Controls
• IAM / Zero Trust for AI
• Client-facing AI Security Consulting / Advisory
• Ability to lead AI Security assessments and engagements

Skills

AI Security Architecture

AI Threat Modeling

AI Red Teaming

GenAI Security

RAG

Copilots Security

Secure-by-Design

AI Security Assessments

MLOps / ML Pipeline Security

AI Security across Training

IAM / Zero Trust for AI

Client-facing AI Security Consulting

Lead AI Security engagements

Job description

(Note: Please go through the JD thoroughly before applying)

Hiring for Big4 | AI Security Consultant / Assistant Manager

Location: Pune / Mumbai
Level: Consultant / Assistant Manager
Experience:
Consultant. : 4-5.5 Years
Assistant Manager: 5.5-10 Years
Notice Period: Immediate to 30 days
Interview Mode: In-person

Interview Date .: Interview Drive Date will be announced for shortlisted candidates

Key Skills Required

• AI Security Architecture
• AI Threat Modeling
• AI Red Teaming / Adversarial Testing
• LLM / GenAI Security
• RAG, Agents & Copilots Security
• Secure AI / Secure-by-Design
• AI Security Assessments
• MLOps / ML Pipeline Security
• AI Security across Training, Model Development, Deployment, Inference & Monitoring
• AI Attack Techniques, Vulnerabilities & Controls
• IAM / Zero Trust for AI
• Client-facing AI Security Consulting / Advisory
• Ability to lead AI Security assessments and engagements

Important Screening Criteria: Candidates with only Python, Azure OpenAI, LangChain, RAG or general GenAI development experience but without hands-on AI Security / AI Red Teaming / AI Threat Modeling experience will not be considered a strong fit.

Similarly, traditional Cybersecurity/VAPT profiles will be considered only when they have meaningful AI/LLM Security specialization.