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Writer is an enterprise generative AI platform valued at $1.9B that enables leading companies like Mars, Marriott, Uber, and Vanguard to build and deploy AI agents grounded in their data. The company is seeking a Staff Detection and Response Engineer to join its security team and protect the AI infrastructure powering this transformation.
In this role, you will design and implement sophisticated detection strategies targeting AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets and model weights across distributed infrastructure. You'll build automated response playbooks and orchestration workflows that contain threats without human intervention, reducing mean time to response from hours to minutes while automatically remediating compromised inference endpoints.
You will lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts. You'll hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities, and identifying visibility gaps before adversaries exploit them.
Key responsibilities include building detection-as-code frameworks with version control and automated deployment, onboarding telemetry from AI training infrastructure and inference endpoints, and creating dashboards tracking model security metrics. You'll serve as the operational security partner across teams, translating AI Security's threat research into production detections and enabling responsible AI development through security guardrails. The role includes 24/7 on-call rotation for critical AI security incidents.
You'll need 3-5+ years in security operations, detection engineering, or incident response with proven experience securing AI/ML infrastructure, high-performance computing environments, or distributed systems at scale. Strong programming skills in Python, KQL, SPL, or similar languages are essential for building custom detection logic and automating response workflows. Experience with SIEM platforms, detection technologies, and forensic investigation techniques is required, along with demonstrated ability to build detections for novel attack techniques and conduct forensics in complex distributed environments. The ideal candidate has a self-directed execution mindset with a track record of securing high-value intellectual property and proactively identifying critical security gaps.
About Writer
AI / Data / Infrastructure; SaaS / Enterprise Software — enterprise generative AI platform for business teams.
