We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build
● Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
● Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
● Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
● Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities
● Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
● Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
● Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
● Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.
● +6 years in the field of ML/AI engineering or science with proven products; cyber is an advantage.
● Significant experience leading AI/ML engineering teams, preferably with a background in security or complex data environments.
● Hands-on experience with LLMs, agentic frameworks, and building internal ML platforms.
● Military background (e.g., 8200 or equivalent high-intensity technical leadership experience is a plus.
Upwind Cloud Security Platform bridges intelligence from runtime to build-time, eliminating friction & boosting the productivity of your developers, security engineers, and DevOps.
Upwind delivers comprehensive cloud security, precisely when and where it’s most critical.
