Vice President, AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and lead the company-wide AI architecture and roadmap.

• Establish common interfaces and design patterns, resolving tradeoffs across different business units.

• Collaborate with product and engineering leaders to execute architectural decisions.

• Design and develop full-stack AI and agentic systems.

• Integrate models and retrieval with agent runtimes, memory, tools, and execution environments.

• Create prototypes and production reference implementations.

• Architect production AI systems focusing on performance, resilience, and scalability.

• Benchmark model and serving options while investigating software and infrastructure bottlenecks.

• Enhance latency, throughput, and compute efficiency.

• Guide deployment strategies for both cloud and edge environments.

• Foster a consistent developer experience through reusable components, common APIs, and shared tools.

• Contribute to essential implementations and review designs and code.

• Mentor engineers and technical leaders.

• Design the AI lifecycle architecture from data ingestion and model adaptation to evaluation, deployment, and operational feedback.

• Establish reproducible workflows, automated quality gates, and observability.

• Incorporate safe rollout, rollback, and recovery mechanisms into production systems.

• Integrate security, governance, and auditability within AI architectures.

• Define permissions and execution boundaries for agents, addressing prompt injection and data exposure concerns.

• Collaborate with Security and Legal teams to translate requirements into engineering controls.

⛳️ Requirements

• BS, MS, or PhD in computer science, computer engineering, or a related technical field, or equivalent practical experience.

• Over 10 years of experience in software architecture, systems engineering, or AI engineering, including senior technical leadership across multiple products or business units.

• Proven track record of personally designing and delivering production AI systems, including generative or agentic applications and their supporting infrastructure.

• Strong foundation in distributed systems, software design, APIs, and performance engineering.

• Practical experience with model integration, inference serving, retrieval, and evaluation.

• Experience in establishing shared platforms and engineering standards across independent teams.

• Ability to align senior stakeholders, articulate architectural tradeoffs, and mentor engineers throughout implementation.

• Demonstrated experience using 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).

• Knowledge in Linux systems software, networking, accelerated computing, or AI deployment across cloud and edge environments (bonus).

• Experience in modernizing established platforms into AI-native systems, particularly in cybersecurity or other environments with rigorous security and reliability demands (bonus).

• CrowdStrike participates in the E-Verify program.

🏝️ Benefits

• 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 recharging.

• Paid parental and adoption leaves.

• Professional development opportunities available to all employees, regardless of level or role.

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to foster connections.

• Vibrant office culture with world-class amenities.