VP of AI Architectures — Remote, Scalable & Secure

CrowdStrike Inc.; Boston (MA); A distancia; USD 350.000 - 375.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Equity and bonus potential

Paid time off

Professional development

Descripción de la vacante

CrowdStrike, Inc. is seeking a VP-level AI Architect to lead a company-wide, AI-first architecture across products and platforms. You will translate business priorities into scalable designs, connect AI applications with infrastructure, and guide cross-team implementation to meet product needs and security standards.

You will drive reference implementations, mentor engineers, and shape a resilient AI ecosystem with auditable, compliant practices across cloud and edge environments.

Formación

• Requires 10+ years in software architecture, systems engineering or AI engineering across multiple products or units.
• Proven track record delivering production AI or agentic systems with scalable infra.
• Strong foundations in distributed systems, APIs, and performance engineering.

Responsabilidades

• Define and drive company-wide AI architecture and roadmap across units.
• Design full-stack AI/agentic systems connecting models to runtimes and tools.
• Architect production AI for performance, resilience, and scale; guide deployments.
• Create reusable components and APIs to ensure a unified developer experience.
• Lead AI lifecycle from data to deployment with observability and safety gates.
• Embed security, governance, and auditability; partner with Legal and Security.

Conocimientos

Architectural leadership

Distributed systems

AI engineering

Model integration

Performance engineering

Mentoring engineers

Educación

BS/MS/PhD in CS or related

Herramientas

APIs & integration

Linux systems

Descripción del empleo

CrowdStrike, Inc. is seeking a VP-level AI Architect to lead a company-wide, AI-first architecture across products and platforms. You will translate business priorities into scalable designs, connect AI applications with infrastructure, and guide cross-team implementation to meet product needs and security standards.

You will drive reference implementations, mentor engineers, and shape a resilient AI ecosystem with auditable, compliant practices across cloud and edge environments.