Job Summary

The Product Security Architect - AI & IoT is responsible for integrating cybersecurity into Fluence's artificial intelligence, machine learning, embedded systems, edge computing, and Internet of Things (IoT) technologies. This role focuses on pioneering, implementing, and improving secure architectures for connected products, embedded software, AI-enabled capabilities, intelligent devices, and cloud-connected platforms. Location: Bangalore, India

Reporting to: Director, Product Security

Responsibilities

- The successful candidate will help strengthen Fluence's secure-by-design approach for emerging technologies by developing scalable security architectures capable of addressing threats targeting AI models, connected devices, embedded systems, APIs, cloud services, and software supply chains.
- 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.

Required Qualifications

- Bachelors degree in Information Security, Cybersecurity, 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.
- Preferred Certifications: ISA/IEC 62443 Expert, GIAC GRID, GIAC GICSP, CISSP, SABSA Security Architecture Certification.

Preferred Qualifications

- Masters 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.

Key Competencies

- Threat Modeling (STRIDE/DREAD) and Security Architecture Reviews (OWASP based)
- Secure SDLC integration from old mechanisms to AI modernization.
- Enablement for security excellence with LLM & Generative AI security.
- Advocate AI governance and risk management continuously.
- Prioritize security features into upcoming product releases for hardware and software (support patent development)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Product Security Architect AI & IoT (Bengaluru)
🏢 Fluenc
📍 Bengaluru