5 8+ years of experience in Application Security, Penetration Testing, or Offensive Security

Solid knowledge of web application and API security testing

Experience with security testing tools such as Burp Suite, OWASP ZAP, Metasploit, and Nmap

Understanding of AI/ML architectures including LLMs, ML pipelines, and model deployment environments

Detail JD

Perform penetration testing of AI-powered applications and systems, including LLM-based applications, AI APIs, and ML pipelines

Identify vulnerabilities such as prompt injection, data leakage, insecure model outputs, model extraction, and adversarial inputs

Conduct red-teaming exercises for generative AI systems to simulate abuse scenarios

Evaluate AI systems for model integrity, training data risks, and inference security weaknesses

Collaborate with AI/ML engineering teams to ensure security best practices are embedded in model development and deployment

Develop attack methodologies and frameworks for AI security testing

Assess security risks associated with AI model hosting platforms, APIs, and inference services

Provide detailed vulnerability reports and remediation guidance to engineering teams

Integrate AI security testing into the Secure SDLC process

Research emerging threats in AI/ML security and adversarial machine learning

Work with internal and external teams to enhance AI security posture across HCL Software products

(Posting).





5 8+ years of experience in Application Security, Penetration Testing, or Offensive Security Strong knowledge of web application and API security testing Experience with security testing tools such as Burp Suite, OWASP ZAP, Metasploit, and Nmap Understanding of AI/ML architectures including LLMs, ML pipelines, and model deployment environmentsDetail JD Perform penetration testing of AI-powered applications and systems, including LLM-based applications, AI APIs, and ML pipelines Identify vulnerabilities such as prompt injection, data leakage, insecure model outputs, model extraction, and adversarial inputs Conduct red-teaming exercises for generative AI systems to simulate abuse scenarios Evaluate AI systems for model integrity, training data risks, and inference security weaknesses Collaborate with AI/ML engineering teams to ensure security best practices are embedded in model development and deployment Develop attack methodologies and frameworks for AI security testing Assess security risks associated with AI model hosting platforms, APIs, and inference services Provide detailed vulnerability reports and remediation guidance to engineering teams Integrate AI security testing into the Secure SDLC process Research emerging threats in AI/ML security and adversarial machine learning Work with internal and external teams to enhance AI security posture across HCL Software products

📌 Senior Solutions Manager (Bengaluru)
🏢 HCLTech
📍 Bengaluru