Product Security Architect AI & IoT

Overview

The Product Security Architect - AI & IoT integrates cybersecurity into artificial intelligence, machine learning, embedded systems, edge computing and Internet of Things technologies. The role develops and improves secure architectures for connected products, embedded software, AI-enabled capabilities, intelligent devices and cloud-connected platforms.

What you'll do

• Assess security risks associated with machine learning models, LLMs, AI agents and AI-enabled applications.
• Lead complex AI threat modeling, design reviews and security architecture assessments for products, projects and customer deployments.
• Develop guidance for adversarial AI, prompt injection, data poisoning and model integrity risks.
• Collaborate with engineering teams to define security architecture requirements for AI, embedded, edge and IoT solutions.
• Serve as a senior subject matter expert and primary security consultant for AI innovation and disruption to deep tech within the company.
• Mentor engineers and security practitioners and contribute reusable architecture guidance, patterns and lessons learned.
• Define security requirements for embedded systems, firmware, gateways, sensors and connected devices where AI and IoT converge.
• Provide expert technical support to customers, auditors and regulators on AI security empowerment and compliance efficacy.
• Make security architecture decisions and recommendations that materially affect assigned products, projects and customer deployments.
• Integrate secure development practices and secure SDLC mechanisms into AI modernization.
• Enable security excellence with LLM and Generative AI security.
• Advocate AI governance and risk management continuously.
• Prioritize security features into upcoming product releases for hardware and software and support patent development.

What you'll need

• Bachelor's degree in Information Security, Cybersecurity or Computer Science, or equivalent practical experience.
• Minimum 8+ years of product security, security architecture or embedded systems security experience.
• Experience securing cloud-connected products, AI-enabled platforms, IoT devices and embedded systems.
• Familiarity with OWASP Top 10, OWASP IoT Top 10, OWASP LLM Top 10, NIST AI RMF, NIST SSDF and secure development practices.
• Threat Modeling using STRIDE/DREAD and Security Architecture Reviews using OWASP based approaches.

Nice to have

• ISA/IEC 62443 Expert, GIAC GRID, GIAC GICSP, CISSP or SABSA Security Architecture Certification.
• Master's degree in Computer Science with specialization in Machine Learning or Artificial Intelligence.
• Experience assessing RAG and MCP advanced threat risks and translating them into practical architecture requirements.
• Advanced Python coding skills or exploit engineering with machine learning.

Details

• Location: Bangalore, India.
• Reports to the Director, Product Security.