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Lead Product Security Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: HCLSoftware
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

Position Summary
HCL Software develops, markets, sells, and supports enterprise software solutions across multiple pillars including Customer Experience, Digital Solutions, Secure Dev Ops, and Security & Automation. As our products increasingly incorporate  Artificial Intelligence and Machine Learning capabilities , ensuring the security of AI-driven systems has become a critical priority.
The  Lead Product Engineer Security  will be responsible for identifying and exploiting security weaknesses in AI/ML systems, applications, and models embedded within HCL Software products. This role focuses on evaluating the resilience of AI systems against emerging threats such as  prompt injection, data poisoning, model manipulation, adversarial attacks, and LLM abuse scenarios .
The individual will work closely with  AI/ML engineering teams, Dev Ops, and Product Development groups  to design and execute advanced security testing strategies for AI-enabled applications. The role will also support the secure adoption of different types of AI technologies across the organization while ensuring adherence to secure development practices.
This position requires strong expertise in  application security and AI system behavior , along with the ability to simulate real-world attacks against AI-driven platforms.

What You Will Be Doing

• 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

Required Qualifications / Experience
Skills
Security requirements.
Threat modeling.
SCA, SAST, DAST, VAPT & Exploitations
Market-leading tools:
App Scan, Black Duck, Fortify, etc.
Implementation and usage of AI in the VAPT.
Must-Have Technical Skills

• 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
Must-Have Functional Skills

• Ability to simulate attacks against  AI models and AI-driven applications

• Strong knowledge of  OWASP Top 10 and AI-specific security risks

• Experience working with  development teams to remediate security vulnerabilities

• Strong analytical and problem-solving skills

Nice-to-Have Skills

• Knowledge of  LLM security risks (prompt injection, jailbreak attacks, hallucination exploitation)

• Familiarity with AI security frameworks such as  OWASP Top 10 for LLM Applications

• Experience with  Python-based AI/ML environments (Tensor Flow, PyTorch, or similar frameworks)

• Understanding of  Adversarial Machine Learning concepts

• Experience testing  AI APIs or AI-powered SaaS platforms

• Knowledge of  cloud platforms such as AWS, Azure, or GCP

Certifications (Preferred)

• OSCP / OSWE / CEH

• AI or ML security related certifications (if available)

What We Offer

Remote-friendly work environment

Competitive salary and performance incentives

• Strong learning opportunities in  AI security and emerging technologies

• Career growth within  HCL Software’s global product security organization
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