Sr. Architect, AI Engineering

We are seeking a Senior Architect, AI Engineering that would report into our Senior Director, Engineering (Emerging Tech). You will play a pivotal role in shaping how we leverage cutting-edge deep learning and multimodal AI to secure large-scale distributed systems. As a recognized technical leader, you will influence product strategy, mentor teams globally, and deliver innovations that safeguard enterprises in dynamic cloud environments. This is a remote role with the United States. In this position you will:

• Define, architect, and lead the technical strategy for end-to-end AI solutions that detect, prevent, and mitigate security risks in cloud-native environments, including proactively addressing emerging threats like Agentic AI.
• Design, train, and deploy advanced deep learning and multimodal AI models for threat and anomaly detection, optimizing them for performance, scalability, and low-latency inference in production.
• Build and implement AI-driven solutions for critical cloud security use cases, such as intrusion detection, zero-day vulnerability analysis, and real-time attack surface reduction.
• Partner with product, engineering, and research teams to integrate AI innovation into security products and cultivate internal technical excellence.
• Represent the company as a recognized expert in AI for cloud security, engaging with strategic customers, conferences, and industry bodies.

What We're Looking for (Minimum Qualifications):

• Ph.D. or equivalent experience in AI/ML, Computer Science, or a related field, with a strong focus on deep learning, multimodal models, or security applications.
• Proven track record of delivering and optimizing large-scale AI systems in production, including hands-on experience with model compression techniques for efficient deployment.
• Deep expertise in major deep learning frameworks (e.g., PyTorch, TensorFlow), deploying models in distributed cloud environments (e.g., AWS, Azure, GCP), and experience with MLOps and observability tools.
• Strong working knowledge of critical cloud security domains, including Identity and Access Management (IAM), workload protection, network security, and threat intelligence.
• Exceptional communication and interpersonal skills, with the ability to influence diverse stakeholders from executives to global engineering teams.

What Will Make You Stand Out (Preferred Qualifications):

• Deep expertise in applying Large Language Models (LLMs) and multimodal foundation models to cybersecurity use cases.
• Familiarity with cutting-edge security and privacy technologies for AI, including confidential computing, secure enclaves, and privacy-preserving machine learning.
• Demonstrated industry influence through open-source contributions, recognized publications, patents, or thought leadership in AI or security.