CrowdStrike
CrowdStrike
CrowdStrike is a cybersecurity and SaaS company founded in 2011 that develops cloud-based tools for protecting endpoints, identities, networks, and cloud environments. Its Falcon platform combines artificial intelligence with real-time visibility, threat detection, and response capabilities to help organizations identify and stop sophisticated cyberattacks. CrowdStrike’s work spans cybersecurity, managed detection and response, and applied AI, supporting businesses seeking to strengthen the security of their systems and data.

Head of AI Solutions

Lead CrowdStrike’s internal AI solutions organization, shaping its portfolio and guiding agentic systems from discovery into production. Build and develop cross-functional teams while setting delivery priorities and standards.

Description

  • Build and lead a technically strong AI Solutions team.
  • Recruit, develop, and manage AI solutions engineers, data engineers, and AI product professionals.
  • Manage intake and set priorities for internal AI opportunities.
  • Assess business value, feasibility, risk, and potential for reuse.
  • Plan portfolio sequencing and explain prioritization decisions.
  • Lead discovery with business and technical stakeholders.
  • Set solution architecture, scope, success measures, dependencies, and effort estimates.
  • Assign engineering, data, and product capacity across concurrent initiatives.
  • Coordinate support from functional teams, IT, AI Platform, Architecture, Privacy, and Security.
  • Resolve obstacles to delivery.
  • Review key architectures, implementation plans, evaluations, and production-readiness decisions.
  • Ensure solutions meet security, privacy, reliability, observability, cost, and human oversight standards.
  • Deliver solutions within agreed scope and complete effective handoffs.
  • Assess solution value after launch.
  • Convert recurring needs into reusable solution patterns, evaluation assets, and delivery playbooks.
  • Report platform gaps to AI Platform and Architecture.

Requirements

  • At least 10 years of experience designing, building, or deploying production systems.
  • At least 3 years of experience leading technical teams.
  • Experience taking LLM-based or agentic solutions from discovery through production.
  • Hands-on involvement in architecture, integration, deployment, evaluation, and operational readiness.
  • Experience leading a solutions architecture, applied AI, engineering, platform, or shared-services team serving multiple business units.
  • Responsibility for prioritization and capacity allocation.
  • Strong technical scoping and estimation skills.
  • Working knowledge of agent and tool orchestration, prompt and context design, guardrails, evaluation, data modeling, APIs, identity, and cloud or hybrid deployment.
  • Experience hiring and developing senior AI, engineering, data, and product talent.
  • Experience building or leading an internal FDE, solutions architecture, applied AI, or enterprise AI delivery organization.
  • Experience developing validated designs or reference architectures across AI models, data, infrastructure, security, and enterprise systems.
  • Experience delivering agentic AI in cybersecurity or another high-consequence operational setting.
  • Experience deploying AI across cloud, data center, and hybrid environments.

Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holidays.
  • Paid parental and adoption leave.
  • Professional development opportunities for employees at every level and in every role.
  • Employee Networks, local neighborhood groups, and volunteer opportunities to build connections.
  • Office culture with high-quality amenities.
  • Bonuses.
  • Equity grants.
  • Health insurance.
  • 401(k).
  • Paid time off.

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