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 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

- Bachelor's 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:

- 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.

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)

Our Culture

At Fluence, our culture is the foundation that drives our ambitious growth strategy and fuels our mission to transform the future of energy. Our core cultural pillars empower us to innovate, collaborate, and lead with purpose, ensuring we continue to deliver unparalleled value to our customers and the world.

Unleash Voices

We believe every voice matters. We encourage openness, active listening, and decisive action to create a culture where everyone has the opportunity to contribute to our success. We foster an environment where diverse perspectives are heard and valued, driving innovation and progress.

Customer Fluent

Our customers are at the heart of everything we do. We’re committed to delivering exceptional value that exceeds expectations by understanding our customers' needs and adapting swiftly to meet them. Our deep focus on customer satisfaction drives us to continuously improve and innovate.

Infinite Impact

We are committed to creating the impossible. We push boundaries to deliver sustainable, game-changing solutions that shape a brighter, more energy-efficient future for all. Our team is passionate about making a lasting impact that will resonate for generations to come.

All In

We are all in for growth. Our teams are relentlessly focused on identifying and seizing opportunities that propel us forward. We embrace an ownership mindset, pushing ourselves and each other to accelerate progress and create lasting success.