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Vice President, AI Architect
CrowdStrike. Define and drive the company-wide AI architecture and roadmap .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing AI architecture and roadmaps, with a focus on full-stack AI systems, performance engineering, and cross-business-unit collaboration. Proven ability to mentor technical leaders and establish engineering standards while ensuring security and governance in AI deployments.
Highest-signal resume keywords
AI Architecture DesignFull-Stack AI SystemsPerformance EngineeringCross-Business-Unit CollaborationMentorship and Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software ArchitectureSystems EngineeringModel IntegrationInference ServingAPIsDistributed SystemsPerformance EngineeringAI DeploymentData IngestionOperational Feedback
Soft Skills
Stakeholder AlignmentMentoringCommunication
Tools & Technologies
Linux Systems SoftwareNetworkingAccelerated ComputingCloud EnvironmentsEdge Environments
Certifications & Qualifications
BS in Computer ScienceMS in Computer EngineeringPhD in Related Technical Field
Industry Keywords
AI TechnologiesGenerative ApplicationsAgentic ApplicationsOpen-Source ContributionsCybersecurity
Tech Stack
Tools & technologiesCloudCyber SecurityDistributed SystemsLinux
About the role
Key responsibilities & impact- Define and drive the company-wide AI architecture and roadmap
- Establish shared interfaces and design patterns and resolve cross-business-unit tradeoffs
- Work with product and engineering leaders to implement architectural decisions
- 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 and investigate software and infrastructure bottlenecks
- Improve latency, throughput, and compute efficiency
- Guide deployment choices across cloud and edge environments
- Create a consistent developer experience through reusable components, common APIs, and shared tooling
- Contribute to critical implementations and review designs and code
- Mentor engineers and technical leaders
- Design AI lifecycle architecture from data ingestion and model adaptation through evaluation, deployment, and operational feedback
- Establish reproducible workflows, automated quality gates, and observability
- Build safe rollout, rollback, and recovery into production systems
- Embed security, governance, and auditability into AI architectures
- Define permissions and execution boundaries for agents and address prompt injection and data exposure
- Partner with Security and Legal to translate requirements into engineering controls
Requirements
What you’ll need- 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 technical leadership across multiple products or business units
- 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
- Practical experience with model integration, inference serving, retrieval, and evaluation
- Experience establishing shared platforms and engineering standards across independent teams
- Ability to align senior stakeholders, explain architectural tradeoffs, and mentor engineers through implementation
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
- Significant contributions to open-source projects or industry standards (bonus)
- Depth in Linux systems software, networking, accelerated computing, or AI deployment across cloud and edge environments (bonus)
- Experience modernizing established platforms into AI-native systems, particularly in cybersecurity or other environments with demanding security and reliability requirements (bonus)
- CrowdStrike participates in the E-Verify program
Benefits
Comp & perks- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
- 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 regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities