Product Security Architect AI & IoT

Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit  fluenceenergy.com . Job Description: Product Security Architect - AI & IoT Location: (Fluence GIC - Bangalore, India) Reporting to: (Director, Product Security) Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit fluenceenergy.com . Job Description: Product Security Architecture - AI & IoT. Role Overview 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. Key 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. Core Operations: 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. Cross-Functional Collaboration: 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. Security Advocacy: Develop guidance for adversarial AI, prompt injection, data poisoning, and model integrity risks. Define security requirements for embedded systems, firmware, gateways, sensors, and connected devices where AI and IoT converge Provide expert technical…