Crowdstrike
Distinguished Engineer, Frontier Agentic AI
Remote · Full-time · Europe
- Compensation
- $235,000 – $350,000
- Category
- LLM applications
- Employment
- Full-time
- Workplace
- Remote
Technologies
- Software
About the role
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.
We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.
We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems.
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 the Role: CrowdStrike is seeking a Distinguished Engineer to research, define, and build the future of cybersecurity AI within our Cybersecurity Superintelligence Lab. This role brings together frontier AI research, deep cybersecurity expertise, and large-scale systems engineering.
The mandate is broad: understand where AI is going, identify new approaches to cybersecurity, and build systems that fundamentally improve how defenders operate. You will build against what is possible today while anticipating what advances in models and agentic systems could make possible over the next 12-24 months.
That means thinking about the entire application and the systems behind it, from models and agents to security data, tools, and execution environments. The work may span autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation.
Some of the most important use cases have yet to be defined. As a Distinguished Engineer, you will be one of the senior technical leaders of the Lab. You will make original technical contributions while setting direction for teams working on these problems.
You will identify important research questions, develop new approaches, build prototypes, establish rigorous evaluations, and help turn successful research into capabilities that operate at CrowdStrike scale. What You'll Do: Define the future of cybersecurity AI.
Track advances at the frontier of AI and determine what they make possible for cybersecurity. Identify new capabilities and use cases early, with a particular focus on transforming how defenders operate. Set the research directions and technical approaches required to pursue them.
Invent and build new cybersecurity AI systems. Design end-to-end applications that reason across security context, use tools, coordinate, and execute complex security tasks. Determine how models, agents, security telemetry, and execution environments should work together to enable new capabilities.
Develop systems that improve through experience. Use investigations, adversary behavior, simulations, and expert feedback to improve system behavior. Explore how offensive validation and defensive outcomes can generate better evidence, evaluations, and training signals.
Work directly with threat researchers, incident responders, red teamers, and other security experts to keep the research grounded in real-world defense. Establish rigorous evaluations. Build benchmarks, cyber environments, and evaluation harnesses that expose capabilities and failure modes.
Measure security efficacy, reliability, performance, and cost. Set technical direction across the Lab. Lead consequential research and architecture decisions across te