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 OverviewThe 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.
Skills Required
- Bachelor's degree in Information Security, Cybersecurity, Computer Science, or equivalent practical experience
- 8+ years of experience in product security, security architecture, or embedded systems security
- 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
- ISA/IEC 62443 Expert, GIAC GRID, GIAC GICSP, CISSP, or SABSA Security Architecture certification
- Master's degree in Computer Science with a specialization in Machine Learning or Artificial Intelligence
- Experience assessing RAG and MCP advanced threat risks and translating them into architecture requirements
- Advanced Python coding skills or machine learning exploit engineering experience
Fluence Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fluence and has not been reviewed or approved by Fluence.
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Fair & Transparent Compensation — Pay is considered competitive and fair for the role, with salary and bonuses frequently highlighted as strengths even when other areas are mixed.
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Leave & Time Off Breadth — Unlimited PTO and paid holidays are positioned as standout perks that are widely valued.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life, and even pet insurance.
Fluence Insights
What We Do
Fluence is a global market leader in energy storage products and services, and digital applications for renewables and storage. With a presence in 30 global markets, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled digital applications for managing and optimizing renewables and storage from any provider. The company is transforming the way we power our world by helping customers create more resilient and sustainable electric grids. (Nasdaq: FLNC)
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