Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. Role: AI Security Architect (MLOps); AI Offensive Security Researcher - Red Team, VAPT & Agentic Security Location: Bangalore, Hybrid About the role... We are looking for a AI offensive Security researcher / Senior AI Security Architect with MLSecOps experience to lead the next generation of AI-native security at o9. You will own two parallel missions: securing o9’s GenAI platform and agentic AI ecosystem from emerging threats, and building AI/ML-driven capabilities that transform how our security operations detect, predict, and respond to adversarial activity across 500+ customer environments. Our security platform ingests 22 billion events per month across 176,000+ hosts, 266 Kubernetes clusters, and 3,042 cloud accounts. The intelligence hidden in that telemetry remains largely unmined. Simultaneously, o9’s GenAI platform is scaling rapidly - production AI agents, RAG pipelines, MCP tool integrations, and autonomous planning workflows that introduce a fundamentally new class of security risk. This role exists to address both. What you’ll do: Design and execute AI-specific VAPT engagements - prompt injection chains, RAG pipeline poisoning, agent identity spoofing, and tool-layer exploitation across MCP and A2A boundaries Lead structured AI red team exercises and scenario-based tabletops, delivering CVSS - scored, MITRE ATLAS mapped findings with actionable remediation guidance Build and maintain AI security automation tooling: prompt fuzzing harnesses, guardrail regression test suites, and detection rule generators fed by red team TTP libraries Contribute to threat modeling for agentic systems -mapping trust boundaries, privilege escalation paths, and blast radius across autonomous agent clusters Feed red team findings back into detection engineering as quality inputs, closing the loop between offensive discovery and SOC coverage gaps What you'll have: 10- 15+ years of total experience in Security Operations 4+ years in application security, AI/ML security, or offensive security research with at least one demonstrable AI-specific assessment or published finding Hands-on offensive depth across LLM attack surfaces: jailbreaks, multi-modal injection, agentic control gaps, and indirect prompt injection Working knowledge of MLOps pipelines, ML engineering concepts, or cloud security as contextual grounding CFP submissions, responsible disclosure history, or published AI security research is a strong differentiator What we’ll do for you: Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Great people and unlimited fun at work. Possibility to really make a difference in a scale-up environment. Support network: Work with a team you can learn from every day. Diversity: We pride ourselves on our international working environment. DavOs Insight (Turning VUCA into value with Neuro-Symbolic AI): https://l1nk.dev/ngQoe Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works... Setup & Create your profile in Workday to track the status - Link to apply. If already done, kindly ignore! Respond with your interest to us. We’ll contact you either via video call or phone call - whatever you prefer, with the further schedule status. During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if we’d like to progress your application. There will be 2 rounds of technical discussion followed by a Managerial round. The 1st round will be a virtual interview. The 2nd and HM rounds will be in-person interviews. We will let you know if you’re the successful candidate. Good luck! More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey! We have a vision. Our Digital Brain, o9’s AI-powered platform, is being used by global enterprises to drive their digital transformations. The integrated planning and operational efficiencies we provide is helping businesses do more, be more and mean more to the world at large. Because businesses that plan better, reduce waste, creating value for themselves and the planet. But we also have a vision for our people. We want the most talented, committed and driven people to power our transformative approach. As an individual and in a team, your actions reflect our values. In return, we’ll provide a nurturing environment where you can be a part of something special.

AI Security Architect (MLOps).

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