Defend cutting-edge AI systems from evolving threats as a Staff Detection and Response Engineer at Writer Inc. You will build sophisticated detection systems for prompt injection and data poisoning while creating automated response capabilities across GPU clusters. This role is pivotal in defining AI security engineering at a global scale for enterprise model deployments.
Staff Detection and Response Engineer at Writer Inc.
As a Staff Detection and Response Engineer, you'll protect cutting-edge AI infrastructure and model deployments from sophisticated threats like prompt injection and data poisoning. Work across GPU clusters and distributed training environments to build automated, self-healing security systems. If you're an experienced security engineer ready to defend the AI platform transforming global industry, this high-impact role in San Francisco or Seattle offers the chance to lead incident response and threat hunting at the absolute frontier of technology.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Writer Inc.
Role overview
Writer Inc. (branded as WRITER) is a generative artificial intelligence company based in San Francisco, California that provides a full‑stack, enterprise-grade AI platform designed to help large organizations build and deploy AI applications and agents for mission‑critical work.[1][5] Its platform focuses on “enterprise AI for agentic work,” enabling teams to automate and scale on‑brand, compliant tasks such as content creation, knowledge work, and operations while integrating with existing business systems and enforcing governance, security, and data privacy requirements.[5] Writer offers a fully integrated stack—including foundation models, orchestration, guardrails, workflows, and developer tools—so enterprises can create customized AI agents and applications tailored to their data, style, and policies without sending sensitive data to public models.[1][5] The company serves Fortune 500 and other large enterprises across industries, positioning itself as a secure, centrally managed AI layer that delivers measurable ROI from generative AI in production.[2][3][5]
What you will do
- Design and implement detection strategies for AI-specific threats including prompt injection, model extraction, and data poisoning across distributed infrastructure and model weights.
- Build automated response playbooks and orchestration workflows that contain threats without human intervention, reducing mean time to response from hours to minutes for compromised inference endpoints.
- Lead security incident response coordination across Cloud, AppSec, and AI Research teams during forensic investigations of training pipeline attacks or model manipulation attempts.
Who this is a fit for
- Has 3-5+ years of experience in security operations or incident response, with a proven track record of securing high-performance computing, AI/ML infrastructure, or distributed systems at scale.
- Possesses strong programming skills in Python, KQL, or SPL to build custom detection logic and automate response workflows that operationalize security across cloud-native environments.
- Demonstrates deep expertise with SIEM platforms and forensic techniques, particularly in identifying novel attack patterns within complex distributed computing environments before they become incidents.
Why this role is remarkable
- Work at the absolute forefront of AI security, defending high-value GPU clusters and distributed training environments against novel threats that don’t exist in textbooks yet.
- Join a rapidly growing Series C enterprise AI platform that holds prestigious ISO 42001 and HIPAA certifications, ensuring security is a core product pillar and business differentiator.
- Define the future of automated response and detection-as-code in an environment where you protect model weights and training data for the world’s largest companies.
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