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CrowdStrike

Builds cloud software that stops cyberattacks

Vice President AI Architect

AI Application EngineeringUpdated on Nov 11
Full-timeRemote in USARemote

About the Job

Requirements

  • A BS, MS, or PhD in computer science, computer engineering, or a related technical field, or equivalent practical experience.
  • At least 10 years of experience in software architecture, systems engineering, or AI engineering, including senior technical leadership across multiple products or business units.
  • A record of personally designing and delivering production AI systems, including generative or agentic applications and supporting infrastructure.
  • 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, aligning senior stakeholders, explaining architectural tradeoffs, and mentoring engineers through implementation.
  • Proven experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.

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 by connecting models and retrieval to agent runtimes, memory, tools, and execution environments; develop prototypes and production reference implementations that provide teams with 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, improve latency, throughput, and compute efficiency, and 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, make system actions traceable, and partner with Security and Legal to translate requirements into practical engineering controls.

Desired Qualifications

  • Significant contributions to open-source projects or industry standards, with experience shaping technical direction across external engineering communities and partners.
  • Depth in Linux systems software, networking, accelerated computing, or AI deployment across cloud and edge environments.
  • Experience modernizing established platforms into AI-native systems, particularly in cybersecurity or other environments with demanding security and reliability requirements.

About the Company

CrowdStrike

Builds cloud software that stops cyberattacks

CrowdStrike builds cybersecurity software for organizations that need to protect computers, cloud workloads, identities and data from digital attacks. Its Falcon platform combines these defenses in one cloud system, using a lightweight sensor on devices to collect activity and detect suspicious behavior. Security teams investigate alerts and automate responses through a shared console, while the platform connects information from different parts of a business to reveal attacks that isolated tools miss. Customers pay subscription fees based on the products and assets covered, and CrowdStrike also charges for incident response services. CrowdStrike was founded in 2011 and is based in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
2011

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