VP AI Architect for Scalable, Secure AI Systems

CrowdStrike Inc.; Topeka (KS); Remote; USD 350,000 - 375,000; Full time

Benefits offered by this job

Market-leading compensation

Equity awards

Wellness programs

Generous vacation and holidays

Parental and adoption leaves

Professional development

Employee networks and volunteering

Inclusive, diverse culture

Job summary

CrowdStrike, Inc. is seeking a VP-level AI Architect to define and drive a company-wide AI- and agentic-first architecture across business units and products. You will translate priorities into practical designs and guide implementation at scale.

You’ll connect AI applications with the software and infrastructure, establish shared foundations, and mentor engineers across teams to deliver robust, scalable AI capabilities.

Qualifications

• 10+ years of experience in software architecture, systems engineering, or AI engineering.
• Proven track record delivering production AI systems including generative or agentic applications.
• Experience establishing shared platforms and engineering standards across teams.

Responsibilities

• Define and drive the 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 across products with reusable components and APIs.
• Design the AI lifecycle architecture from data ingestion to deployment and feedback.
• Embed security, governance, and auditability into AI architectures.

Skills

AI architecture

Distributed systems

Technical leadership

Model integration

Inference serving

Security governance

Cross-team collaboration

Education

BS/MS/PhD in computer science or related

Tools

Linux systems software

APIs

Cloud and edge deployment

Job description

CrowdStrike, Inc. is seeking a VP-level AI Architect to define and drive a company-wide AI- and agentic-first architecture across business units and products. You will translate priorities into practical designs and guide implementation at scale.

You’ll connect AI applications with the software and infrastructure, establish shared foundations, and mentor engineers across teams to deliver robust, scalable AI capabilities.