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Описание вакансии
Текст:
TL;DR
Vice President, AI Architect (AI): Defining and implementing company-wide AI and agentic architecture across cybersecurity products, shared platforms, and internal capabilities with an accent on scalable systems, reusable APIs, and secure AI operations. Focus on designing production AI systems, optimizing model serving and infrastructure, and embedding governance, observability, and auditability into agent architectures.
Location: USA - Remote
Salary: $350,000–$375,000 per year, plus bonus eligibility, equity grants, and benefits.
Company
CrowdStrike is a cybersecurity company building an AI-native platform that protects organizations and processes nearly 3 trillion events per day.
What you will do
- Define and drive company-wide AI and agentic architecture, roadmaps, interfaces, and design patterns.
- Design and build full-stack AI systems connecting models, retrieval, agent runtimes, memory, tools, and execution environments.
- Architect production AI systems for performance, resilience, scalability, and deployment across cloud and edge environments.
- Create reusable components, shared APIs, tooling, and developer practices across products and independent engineering teams.
- Design AI lifecycle architecture covering data ingestion, model adaptation, evaluation, deployment, observability, rollback, and recovery.
- Embed security, governance, permissions, execution boundaries, and auditability into AI architectures.
Requirements
- BS, MS, PhD, or equivalent practical experience in computer science, computer engineering, or a related technical field.
- 10+ years of experience in software architecture, systems engineering, or AI engineering with senior technical leadership across multiple products or business units.
- Experience designing and delivering production generative or agentic AI systems and supporting infrastructure.
- Strong knowledge of distributed systems, software design, APIs, performance engineering, model integration, inference serving, retrieval, and evaluation.
- Experience establishing shared platforms and engineering standards, aligning senior stakeholders, explaining architectural tradeoffs, and mentoring technical teams.
- Proven use of AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Nice to have
- Contributions to open-source projects or industry standards.
- Experience with Linux systems software, networking, accelerated computing, or AI deployment across cloud and edge environments.
- Experience modernizing established platforms into AI-native systems, especially in cybersecurity or other demanding security and reliability environments.
Culture & Benefits
- Health insurance, 401(k), paid time off, and bonus and equity eligibility.
- Physical and mental wellness programs, competitive vacation, and paid parental and adoption leave.
- Professional development opportunities for employees at every level.
- Employee networks, geographic neighborhood groups, and volunteer opportunities.
- Flexible, autonomous work culture with a focus on responsible AI adoption, experimentation, and innovation.
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