Agentic AI Engineer

AI Engineer / AI Cloud Engineer

These roles focus on developing the Rubrik Agent Cloud platform, which allows organizations to manage risk and recover data in AI-driven workflows. Rubrik 1

• Core Responsibilities: Building software that monitors and governs AI agents, detecting anomalies, and providing remediation (such as "Agent Rewind" to undo malicious or erroneous actions).
• Technology Stack: The team works at the intersection of AI, distributed systems, and security, utilizing technologies like Kubernetes and Ray Serve for high-performance AI inference.
• Focus Areas: Developing AI-powered anomaly detection, classifying sensitive data, and creating "agentic AI" guardrails to prevent AI from causing data loss.
• Focus Areas: Developing AI-powered anomaly detection, classifying sensitive data, and creating "agentic AI" guardrails to prevent AI from causing data loss. Rubrik 3

Rubrik Endpoint/Cloud Security Engineer

While not always explicitly titled "Endpoint Engineer," roles in this area focus on integrating security into Rubrik's products, securing user environments, and managing agent activity on endpoints. Rubrik 2

• Agent Cloud Integration: Using mobile device management (MDM) scripts on endpoints to detect and monitor tools like Cursor or Claude, channeling their activity data to a central gateway.
• Application Security: Ensuring Rubrik products meet security standards through threat modeling, vulnerability assessments, and "shift-left" security strategies in the development lifecycle.
• Infrastructure Security: Focusing on SaaS security, specifically for FedRAMP environments. Rubrik 2

Key Projects & Roles

• Ruby AI Companion: Rubrik's generative AI, which provides interactive guidance to accelerate cyber recovery.
• AI Sales Engineer: Focused on positioning Rubrik's Agent Cloud offerings and driving adoption.
• Backend Engineer: Building pipelines to classify and analyze data for security. Rubrik 2

Key Qualifications

• Experience: Proven experience in AI environments, sales engineering, or SaaS cloud infrastructure.
• Skills: Proficiency in Python, experience with LLM providers (e.g., Anthropic, OpenAI) and cloud environments (AWS, Azure).
• Culture: Experience working in agile, high-velocity environments. Rubrik 3