ABOUT US

Cybercriminals are leveraging AI to scale their attacks, and Rapid7 is using AI to fight back. Our AI Center of Excellence is expanding to enhance threat detection, investigation, and response (D&R) across networks and cloud environments. With 20+ years of threat analysis and 40+ AI patents, we’re pushing the boundaries of AI in cybersecurity.

THE ROLE

We’re seeking a Principal AI Engineer to drive our MLOps strategy and take AI models from research to production. This role blends AI/ML expertise, cloud systems, and software engineering to enhance our cybersecurity platform.
This role spearheads the MLOps function within the AI CoE, setting the vision, strategy, and best practices for scalable, reliable, and efficient ML deployment. You will drive the adoption of cutting-edge MLOps methodologies, shape the technology roadmap, and collaborate across teams to ensure AI models are seamlessly integrated into production environments with robust monitoring, automation, and governance.

RESPONSIBILITIES

• Defining the strategic direction, best practices, and technical roadmap to enable scalable, reliable, and efficient ML model deployment in production
• Collaborate with engineers and researchers to develop AI-driven security solutions.
• Design, implement, and maintain ML pipelines and infrastructure (AWS, Sagemaker, Terraform).
• Optimize AI models, monitor performance, and ensure scalability.
• Lead development of APIs and interfaces for AI applications.
• Apply DevOps best practices, including CI/CD, Docker, and Kubernetes.
• Contribute to AI research, with opportunities to publish and present findings.