Sr. Director, AI Architecture and Engineering (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About This Role:The IT organization at CrowdStrike is at the forefront of enabling the company’s rapid growth and technological innovation. We are looking for a Senior Director, AI Architecture & Engineering to 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 with executive-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 andautomation across CrowdStrike.○ Prioritize a portfolio of high‑impact use cases that transform how internal teamsoperate and drive measurable business outcomes.Reimagine how work gets done○ Act as a “work architect” for the enterprise: deeply understand the workflows ofteams across the company and identify where agents and automation can havethe greatest impact.○ Lead change with empathy—design adoption strategies, communication, andtraining that acknowledge how disruptive new ways of working can be.Build and scale the AI Agent Development organization○ Build, mentor, and scale a global AI Agent Developer team that supportsfunctions across the company in creating and maintaining both low‑code andhigh‑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 whilestaying close to the work.○ Contribute to agent architecture and development, review critical designs, andensure 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 wherethey 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 operatingenvironments, 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‑drivenworkflows.○ 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 of evaluation datasets, monitoring frameworks, andperformance 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 externalvendors and platforms.Lead within the AI Center of Excellence○ Be a key leader in the AI Center of Excellence, sharing expertise to help teamsacross 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 agentsadhere to modern AI safety, security, and governance practices.○ Help define standards, guardrails, and approval processes for agent deploymentand usage.What You’ll Need: Extensive Data Science and AI leadership experience○ 15+ years of experience in data science and/or AI.○ 7+ years in senior leadership roles leading engineering, data science, or AI/MLorganizations, ideally in high‑growth, distributed environments.○ Demonstrated success setting strategy and executing complex, cross‑functionaltechnology programs.Deep experience with AI agents (low‑code and high‑code)○ Proven experience leading the development of canonical AI agents that supportEssential Work Across The Company.○ Ability to design and deliver agents that are cost‑effective, resilient, andintegrated 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 monitorperformance and quality of production agents.○ Experience driving buy vs. build decisions and evaluating external vendors andplatforms.○ Strong analytical skills to understand usage patterns, adoption, and cost, and totranslate insights into clear recommendations.Enterprise team-building and people leadership○ Experience building and leading global, distributed engineering and AI teams.○ Demonstrated ability to attract, develop, and retain top talent, while fostering aculture of accountability, experimentation, and continuous improvement.○ Strong executive presence and communication skills; able to influence and alignsenior stakeholders across functions.Python expertise○ 8+ years of hands‑on Python experience, with strong understanding of datastructures, security best practices, and modern development practices.○ Habit of using AI for code‑assist and productivity in your own work.Agent SDKs and platforms○ Experience with major agent and LLM platforms such as Vertex, OpenAI,Claude, etc., and familiarity with MCP or similar orchestration frameworks.Machine learning foundations○ Solid foundational knowledge of machine learning concepts, including howmodern LLMs and retrieval‑augmented systems work in practice.Cloud data warehouses and platforms○ Experience with Snowflake, AWS, GCP, or Azure, with strong understanding ofdata services, performance, and scaling strategies for data‑intensive AIworkloads. Educator and evangelist mindset○ Passion for AI and a desire to upskill team members across all functions.○ Experience Creating Enablement Materials, Running Workshops, Or Otherwisehelping non‑experts adopt AI safely and effectively.Understanding of GenAI, safety, and governance○ Solid understanding of how LLMs and GenAI systems work under the hood andhow that informs good agent design.○ Familiarity with modern AI safety, governance, and risk managementapproaches.Lifelong learner○ Demonstrated ability to continuously adapt as new AI capabilities, tools, andparadigms emerge.○ Bachelor’s or Master’s in Computer Science or related field; MBA a plus.Architecture leadership and systems design○ Proven experience designing and governing enterprise‑scale architectures forAI and data‑intensive systems, including security, observability, and reliabilityconsiderations.○ Expertise in integration patterns (APIs, event‑driven architectures,microservices) and how agents interact safely and reliably with transactional andanalytic systems.○ Experience defining reference architectures, standards, and guardrails for AIagents, including identity, access control, data residency, and performance.○ Familiarity with MLOps and platform engineering concepts (CI/CD for modelsand agents, monitoring, incident response, rollback strategies).Benefits Of Working At CrowdStrike:Market leader in compensation and equity awardsComprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work Certified™ across the globeCrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.Find out more about your rights as an applicant.CrowdStrike participates in the E-Verify program.Notice of E-Verify ParticipationRight to WorkCrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $210,000 - $300,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here.Expected Close Date of Job Posting is:06-20-2026,○ Experience Creating Enablement Materials, Running Workshops, Or Otherwisehelping non‑experts adopt AI safely and effectively.Understanding of GenAI, safety, and governance○ Solid understanding of how LLMs and GenAI systems work under the hood andhow that informs good agent design.○ Familiarity with modern AI safety, governance, and risk managementapproaches.Lifelong learner○ Demonstrated ability to continuously adapt as new AI capabilities, tools, andparadigms emerge.○ Bachelor’s or Master’s in Computer Science or related field; MBA a plus.Architecture leadership and systems design○ Proven experience designing and governing enterprise‑scale architectures forAI and data‑intensive systems, including security, observability, and reliabilityconsiderations.○ Expertise in integration patterns (APIs, event‑driven architectures,microservices) and how agents interact safely and reliably with transactional andanalytic systems.○ Experience defining reference architectures, standards, and guardrails for AIagents, including identity, access control, data residency, and performance.○ Familiarity with MLOps and platform engineering concepts (CI/CD for modelsand agents, monitoring, incident response, rollback strategies).