Senior Director

About this Role:
TheIT organization at CrowdStrikeis at the forefront of enabling the company’s rapid growth and technological innovation. We are looking for aSenior Director, AI Architecture & Engineeringto architect and lead our next generation of AI agent capabilities that enhance productivity, create new internal capabilities, and unlock opportunities for additional revenue.

This senior leader will own the strategic direction, roadmap, and execution of our AI agent portfolio across the enterprise. They will partner closely with business and technology leaders to reimagine how work gets done, while ensuring our solutions are scalable, secure, governed, and aligned to CrowdStrike’s long‑term strategy.

We’re seeking a self-starter who thrives in ambiguity, has a proven track record building and leading high-performing global teams, communicates withexecutive-level clarity, and is passionate about staying on the frontier of AI.

What You’ Do:
●Set the enterprise AI agent strategy
○Define the multi‑year vision, roadmap, and success metrics for AI agents and
automation across CrowdStrike.
○Prioritize a portfolio of high‑impact use cases that transform how internal teams
operate and drive measurable business outcomes.
●Reimagine how work gets done
○Act as a “work architect” for the enterprise: deeply understand the workflows of
teams across the company and identify where agents and automation can have
the greatest impact.
○Lead change with empathy—design adoption strategies, communication, and
training that acknowledge how disruptive new ways of working can be.
●Build and scale the AI Agent Development organization
○Build, mentor, and scale aglobal AI Agent Developer teamthat supports
functions across the company in creating and maintaining both low‑code and
high‑code AI agents.
○Establish operating models, standards, and best practices for how teams design,
build, test, deploy, and maintain agents.
●Provide hands-on, technical leadership
○Operate comfortably at both strategic and tactical levels—set direction while
staying close to the work.
○Contribute to agent architecture and development, review critical designs, and
ensure the team remains on the technological edge.

●Define and govern AI and data architecture
○Own the end‑to‑end architecture for AI agents and the underlying platform where
they run, ensuring alignment with enterprise reference architectures, security,
and governance standards.
○Lead the design and build‑out of the core AI agent platform and cloud operating
environments, ensuring they are secure, scalable, observable, and cost‑efficient.
○Partner with platform, security, and data teams to define integration patterns,
observability, performance, and resiliency requirements for agent‑driven
workflows.
○Establish reusable components, frameworks, and patterns that accelerate safe,
compliant agent development and deployment across teams.
●Drive performance, reliability, and ROI of agents
○Lead the development ofevaluation datasets, monitoring frameworks, and
performance metrics for key agents.
○Oversee processes for continuously improving agents based on usage patterns,
feedback, and cost/benefit analysis.
○Guide buy‑vs‑build decisions, including the evaluation and selection of external
vendors and platforms.
●Lead within the AI Center of Excellence
○Be a key leader in theAI Center of Excellence, sharing expertise to help teams
across CrowdStrike build better agents.
○Support and shape company‑wide AI training and enablement initiatives.
○Stay on the frontier of AI and advise on the adoption of new models, methods,
and tools, including safety and governance approaches.
●Shape AI governance, risk, and compliance
○Partner with Security, Legal, Compliance, and Data teams to ensure AI agents
adhere to modernAI safety, security, and governancepractices.
○Help define standards, guardrails, and approval processes for agent deployment
and usage.

What You’ll Need:
●Extensive Data Science and AI leadership experience
○15+ yearsof experience in data science and/or AI.
○7+ years in senior leadership rolesleading engineering, data science, or AI/ML
organizations, ideally in high‑growth, distributed environments.
○Demonstrated success setting strategy and executing complex, cross‑functional
technology programs.
●Deep experience with AI agents (low‑code and high‑code)
○Proven experience leading the development ofcanonical AI agentsthat support
essential work across the company.
○Ability to design and deliver agents that are cost‑effective, resilient, and
integrated into the day‑to‑day workflows of business and technical teams.

●Proven track record evaluating, monitoring, and improving agents for ROI
○Experience designing evaluation datasets, KPIs, and feedback loops to monitor
performance and quality of production agents.
○Experience drivingbuy vs. builddecisions and evaluating external vendors and
platforms.
○Strong analytical skills to understand usage patterns, adoption, and cost, and to
translate insights into clear recommendations.
●Enterprise team-building and people leadership
○Experience building and leadingglobal, distributed engineering and AI teams.
○Demonstrated ability to attract, develop, and retain top talent, while fostering a
culture of accountability, experimentation, and continuous improvement.
○Strong executive presence and communication skills; able to influence and align
senior stakeholders across functions.
●Python expertise
○8+ years of hands‑on Python experience, with strong understanding of data
structures, security best practices, and modern development practices.
○Habit of using AI forcode‑assist and productivityin your own work.
●Agent SDKs and platforms
○Experience with majoragent and LLM platformssuch as Vertex, OpenAI,
Claude, etc., and familiarity withMCPor similar orchestration frameworks.
●Machine learning foundations
○Solid foundational knowledge ofmachine learning concepts, including how
modern LLMs and retrieval‑augmented systems work in practice.
●Cloud data warehouses and platforms
○Experience withSnowflake, AWS, GCP, or Azure, with strong understanding of
data services, performance, and scaling strategies for data‑intensive AI
workloads.
●Educator and evangelist mindset
○Passion for AI and a desire toupskill team members across all functions.
○Experience creating enablement materials, running workshops, or otherwise
helping non‑experts adopt AI safely and effectively.
●Understanding of GenAI, safety, and governance
○Solid understanding of howLLMs and GenAI systemswork under the hood and
how that informs good agent design.
○Familiarity withmodern AI safety, governance, and risk management
approaches.
●Lifelong learner
○Demonstrated ability tocontinuously adaptas new AI capabilities, tools, and
paradigms emerge.
○Bachelor’s or Master’s in Computer Science or related field; MBA a plus.
●Architecture leadership and systems design

○Proven experience designing and governingenterprise‑scale architecturesfor
AI and data‑intensive systems, including security, observability, and reliability
considerations.
○Expertise inintegration patterns(APIs, event‑driven architectures,
microservices) and how agents interact safely and reliably with transactional and
analytic systems.
○Experience definingreference architectures, standards, and guardrailsfor AI
agents, including identity, access control, data residency, and performance.
○Familiarity withMLOps and platform engineeringconcepts (CI/CD for models