Sr. Engineer, AI - AI Detection and Response (AIDR) (Hybrid)

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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward.

About the Role

CrowdStrike is looking for AI engineers who have strong experience in building AI applications and agents on various cloud platforms. This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

Success Means

• Architecting and delivering scalable implementations for various features.
• Ability to research and compare/contrast various solutions for a given problem.
• Gather feedback and iterate toward a final solution while addressing the feedback.
• Ability to provide detailed design and architecture documents for the feature.
• The ability to present the problem and describe the solution in easy-to-understand ways for a larger audience is critical.
• Ability to present and explain the feature in the context of the product to customers as needed.
• Deep understanding of 2 of cloud infrastructure and services - AWS, GCP, Azure or OCI.
• Expert-level knowledge of Go and/or Python.
• Moderate to expert-level knowledge of Kubernetes (K8s).

Responsibilities

• Understand the requirements.
• Design and present the solution, gather feedback, and iterate toward an acceptable solution.
• Implement prototypes and high-quality, scalable, performant, testable production-level code.
• Build and maintain dashboards necessary to monitor and report on the production metrics of the feature (efficacy and performance).
• Iterate and improve the solution as necessary for features, efficacy, scale, and performance.

Requirements

• 6+ years of combined experience as a cloud app developer.
• 4+ years of experience in implementing Generative AI Apps and features.
• Building Apps on Azure Cloud Platform, MS CoPilot, AI Agents.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.
• Deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A.
• Expert-level knowledge of frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.

Bonus Points

• Previous experience in security companies and working in close coordination with or in security products.
• Deep understanding of the security landscape, especially AI Security (securing the use and application of AI).

Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees regardless of level or role.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world-class amenities.
• Great Place to Work Certified™ across the globe.

Pay

The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants, and a comprehensive benefits package that includes health insurance, 401k, and paid time off.

Schedule

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.