Detection and Response Engineer - Defend the Future of AI
At WRITER, we're not just building AI; we're securing its future. As a Detection and Response Engineer, you'll be on the front lines, protecting our AI/AGI platforms, training data, and deployed models from sophisticated and constantly evolving threats. This isn't your average security role – you'll be diving deep into the unique security challenges of cutting-edge AI.
Imagine designing advanced detections that anticipate novel attack vectors, automating rapid responses to contain threats in real-time, and leading critical investigations into incidents impacting our AI infrastructure. From GPU clusters to model inference endpoints, you'll be the guardian of our most valuable intellectual property, ensuring the integrity and security of our AI systems.
If you're passionate about staying one step ahead of attackers and have the skills to translate cutting-edge AI threat intelligence into production-grade detection systems, this is your opportunity to make a real impact.
Your Mission:
Incident Response Coordination: Orchestrate and lead incident response efforts to swiftly contain and mitigate security breaches.
Real-time Threat Monitoring and Detection: Develop and maintain real-time threat monitoring systems to identify and respond to security incidents as they occur.
Production AI Monitoring: Implement and manage monitoring solutions for production AI environments to ensure security and performance.
Forensic Investigation: Conduct thorough forensic investigations to identify the root cause of security incidents and prevent future occurrences.
Detection Engineering Across All Security Domains: Design, develop, and implement detection strategies and tools across all security domains.
AI Threat Detection Implementation: Focus on the implementation of AI-specific threat detections and monitoring solutions.
Collaboration:
With AI Security: Leverage their threat research and models to implement effective production monitoring solutions.
With All Security Teams: Provide detection capabilities across all security domains, enabling them to build preventive controls.
With Cloud/Infrastructure: Monitor the infrastructure for threats, complementing their infrastructure hardening efforts.
With Software Security Engineering: Detect customer-impacting incidents, allowing them to build appropriate protections.
Key Responsibilities:
Engineer Advanced Threat Detection: Design and implement detections for AI/ML-specific threats, including prompt injection, model extraction, data poisoning, and adversarial inputs.
Automate Security Responses: Build playbooks and orchestration workflows that contain AI-targeted attacks in minutes, not hours.
Lead AI Incident Response: Coordinate cross-team investigations into compromises of models, training data, and inference endpoints.
Hunt for AI-Specific Threats: Proactively search for active attacks across GPU clusters, training pipelines, and model deployments.
Enhance Visibility & Telemetry: Onboard, optimize, and analyze logging from AI infrastructure to detect anomalies and misuse.
Collaborate Across Domains: Partner with AI Security on threat intelligence, Cloud/Infrastructure on runtime monitoring, and Software Security Engineering on customer-impacting incidents.
What You'll Bring to the Table:
Required Experience:
8+ years in security operations, detection engineering, or incident response.
3+ years securing AI/ML infrastructure or high-performance computing environments.
Proven ability to detect and stop sophisticated attacks.
Experience with distributed systems, GPU cluster security, and cloud-native monitoring.
Proficiency with SIEM platforms and detection technologies.
Strong programming skills in Python, KQL, SPL, or similar.
Technical Expertise:
Deep understanding of AI/ML attack vectors such as adversarial examples, model inversion, and membership inference.
Experience securing training pipelines, model deployments, and sensitive research environments.
Knowledge of GPU computing security challenges.
Hands-on forensics experience in distributed or cloud-based systems.
Execution & Impact:
Demonstrated success in building detections for novel, AI-specific attack techniques.
History of safeguarding high-value intellectual property.
Proven record of automating incident response at scale.
Track record of uncovering critical security gaps through proactive threat hunting.
Bonus Points:
Preferred Qualifications:
Background in AI/ML engineering or research.
Experience with AI safety and AI/ML security research.
Familiarity with APT tactics targeting AI companies.
Contributions to the AI security research community.
Experience with confidential computing or secure enclaves.
Perks (UK Full-Time Employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (12 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for:
Home office setup, cell phone, internet
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options