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Senior Solutions Manager at HCL Technologies in Location not listed
ExperiencedOn-siteNot specified
Job Description
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 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
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 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