[Hiring] Vice President, AI Architect @CrowdStrike

Role Description

We’re looking for a VP-level AI Architect to define and drive a consistent, modern AI- and agentic-first architecture across CrowdStrike. This company-wide role spans business units, customer-facing products, shared platforms, and internal AI capabilities.

• Connect AI applications with the software and infrastructure that make them work at scale.
• Translate business priorities into practical designs, establish common technical foundations, and guide implementation across teams.
• Support distinct product needs while making shared capabilities easier to build, integrate, and operate.
• Make company-wide architectural decisions, build reference implementations, and resolve difficult engineering problems.
• Bring deep systems expertise, sound judgment about emerging AI technologies, and a record of turning architectural direction into working products.

What You’ll Do

• Define and drive the company-wide AI architecture and roadmap.
• Establish shared interfaces and design patterns, resolve cross-business-unit tradeoffs.
• 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.
• Architect production AI systems for performance, resilience, and scale.
• Benchmark model and serving options, investigate bottlenecks, 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 to operational feedback.
• Establish reproducible workflows, automated quality gates, and observability for model quality.
• Embed security, governance, and auditability into AI architectures.
• Define permissions and execution boundaries for agents, address prompt injection and data exposure.
• Partner with Security and Legal to translate requirements into practical engineering controls.

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.
• A record of personally designing and delivering production AI systems.
• Strong foundations in distributed systems, software design, APIs, and performance engineering.
• Practical experience with model integration, inference serving, retrieval, and evaluation.
• Experience establishing shared platforms and engineering standards across independent teams.
• Proven experience utilizing AI technologies to enhance decision-making and improve efficiency.

Bonus Points

• Significant contributions to open-source projects or industry standards.
• Depth in Linux systems software, networking, accelerated computing, or AI deployment.
• Experience modernizing established platforms into AI-native systems.

Requirements

• Ability to align senior stakeholders and explain architectural tradeoffs.
• Mentor engineers through implementation.

Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities.
• Vibrant office culture with world-class amenities.
• Great Place to Work Certified™ across the globe.