VP AI Architect — Remote, Scalable AI Platforms

CrowdStrike Inc.; Hartford (CT); Remoto; USD 350.000 - 375.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Equity grants

Vacation and holidays

Parental leave

Professional development

Descrizione del lavoro

CrowdStrike, Inc. is seeking a VP-level AI Architect to define a company-wide AI- and agentic-first architecture across the organization. You will translate priorities into practical designs, guide implementations, and ensure scalable, secure AI capabilities across products and platforms.

You will lead cross-functional teams, mentor engineers, and shape reference implementations while balancing performance, cost, and reliability in cloud and edge environments.

Competenze

• Advanced degree or equivalent practical experience in computer science, engineering, or a related field.
• 10+ years of software architecture, systems engineering, or AI engineering with leadership across products/business units.
• Proven experience delivering production AI systems and infrastructure at scale.
• Strong distributed systems, APIs, and performance engineering foundations.
• Experience with model integration, inference serving, and evaluation.

Mansioni

• Define company-wide AI architecture and roadmap.
• Design and build full-stack AI and agentic systems.
• Architect production AI systems for performance, resilience, and scale.
• Create a consistent developer experience with reusable components and APIs.
• Design AI lifecycle architecture from data to deployment and feedback.

Conoscenze

AI architecture

Distributed systems

Leadership

Model integration

APIs & tooling

Security governance

Mentoring engineers

Cloud & edge

Formazione

BS/MS/PhD in CS or related field

Strumenti

Linux systems

Networking

AI deployment

Descrizione del lavoro

CrowdStrike, Inc. is seeking a VP-level AI Architect to define a company-wide AI- and agentic-first architecture across the organization. You will translate priorities into practical designs, guide implementations, and ensure scalable, secure AI capabilities across products and platforms.

You will lead cross-functional teams, mentor engineers, and shape reference implementations while balancing performance, cost, and reliability in cloud and edge environments.