Were looking for a Senior AI Security Architect to join our GenAI Protect Core Platform team – leading the design of our companys next-generation AI Security architecture.
Youll define the foundation for secure, scalable, and trustworthy AI systems that power real-time protection across GenAI and data-driven environments.
Key Responsibilities
Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.
Youll define the foundation for secure, scalable, and trustworthy AI systems that power real-time protection across GenAI and data-driven environments.
Key Responsibilities
Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.
Requirements:
10+ years in backend, distributed systems, or AI architecture.
Proven leadership in system design, architecture reviews, and technology governance.
Strong background in cloud architecture (AWS preferred) and data pipelines.
Deep understanding of applied AI/ML, model integration, and observability.
Experience in secure design, privacy engineering, or AI risk mitigation.
10+ years in backend, distributed systems, or AI architecture.
Proven leadership in system design, architecture reviews, and technology governance.
Strong background in cloud architecture (AWS preferred) and data pipelines.
Deep understanding of applied AI/ML, model integration, and observability.
Experience in secure design, privacy engineering, or AI risk mitigation.
This position is open to all candidates.
