Remote VP of AI Architecture & Platform

CrowdStrike Inc.; Richmond (VA); Remote; USD 350,000 - 375,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Paid time off

Parental leave

Professional development

Employee networks

Office culture perks

Great Place to Work

Job summary

CrowdStrike, Inc. is seeking a VP-level AI Architect to define a company-wide AI-first architecture for scalable, secure systems across products and platforms.

You will translate business priorities into practical designs, establish common foundations, and guide implementation across teams in a remote-friendly US setting. You’ll work with business and engineering leaders to create reference implementations, mentor engineers, and drive production AI capabilities with a focus on performance,

Qualifications

• BS, MS, or PhD in computer science, computer engineering, or a related technical field, or equivalent practical experience.
• 10+ years of experience in software architecture, systems engineering, or AI engineering, including senior leadership across multiple products or business units.
• A record of personally designing and delivering production AI systems, including generative or agentic applications and the infrastructure that supports them.
• Strong foundations in distributed systems, software design, APIs, and performance engineering, with the ability to work across application and infrastructure layers.
• Practical experience with model integration, inference serving, retrieval, and evaluation, including the tradeoffs involved in deploying and operating AI systems at scale.
• Experience establishing shared platforms and engineering standards across independent teams. Ability to align senior stakeholders, explain architectural tradeoffs, and mentor engineers through implementation.

Responsibilities

• Define and drive the company-wide AI architecture and roadmap. Establish shared interfaces and design patterns, resolve cross-business-unit tradeoffs, and work with product and engineering leaders to put architectural decisions into practice. Determine which capabilities should be common and where teams need flexibility.
• Design and build full-stack AI and agentic systems. Connect models and retrieval to agent runtimes, memory, tools, and execution environments. Develop prototypes and production reference implementations that give teams a tested foundation for new capabilities.
• Architect production AI systems for performance, resilience, and scale. Benchmark model and serving options, investigate bottlenecks across software and infrastructure, and improve latency, throughput, and compute efficiency. Guide deployment choices across cloud and edge environments.
• Create a consistent developer experience across products through reusable components, common APIs, and shared tooling. Simplify integration and establish engineering practices that teams adopt. Contribute to critical implementations, review designs and code, and mentor engineers and technical leaders.
• Design the AI lifecycle architecture, from data ingestion and model adaptation through evaluation, deployment, and operational feedback. Establish reproducible workflows, automated quality gates, and observability for model quality, agent task success, reliability, and cost. Build safe rollout, rollback, and recovery into production systems.
• Embed security, governance, and auditability into AI architectures. Define permissions and execution boundaries for agents, address prompt injection and data exposure, and make system actions traceable. Partner with Security and Legal to translate requirements into practical engineering controls.

Skills

AI architecture

Distributed systems

Leadership

Software architecture

Mentoring engineers

Education

BS/MS/PhD in computer science/engineering or related field

Tools

Linux systems

APIs

Cloud & edge deployment

Job description

CrowdStrike, Inc. is seeking a VP-level AI Architect to define a company-wide AI-first architecture for scalable, secure systems across products and platforms.

You will translate business priorities into practical designs, establish common foundations, and guide implementation across teams in a remote-friendly US setting. You’ll work with business and engineering leaders to create reference implementations, mentor engineers, and drive production AI capabilities with a focus on performance,