AI Security Engineer: Threat Detection & Incident Response

WRITER; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Generous PTO

Medical and dental insurance

Parental leave (16 weeks)

Fertility and family planning support

Pension scheme and company stock

Wellness stipend

Learning and development stipend

Company off-sites

Stock options

Job summary

WRITER is a leading AI platform for marketing and revenue teams, delivering autonomous agents and enterprise-grade governance. The security team seeks an experienced security engineer to design detections, automate responses, and coordinate incident handling across cloud, AI, and engineering teams.

You will build detection-as-code, monitor GPU clusters, and help protect training data, models, and inference endpoints in a distributed AI environment with 24/7 on-call rotations.

Qualifications

• 3-5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high-performance computing environments, or other distributed systems at scale.
• Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud-native and distributed computing environments.
• Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments.
• Self-directed execution mindset with a track record of securing high-value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents.
• Deep alignment with WRITER's values – you naturally Connect across security, infrastructure, and AI research teams to build comprehensive defenses, you Challenge assumptions about what's possible in AI security engineering, and you Own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats.

Responsibilities

• Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure.
• Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints.
• 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 while drafting clear incident communications for engineering and executive leadership.
• Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them.
• Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data.
• Collaborate cross-functionally as the operational security partner for all teams – translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer-impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails.
• Maintain 24/7 on-call rotation for critical AI security incidents, responding to real-time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve.

Skills

Python

KQL

SPL

Detection engineering

Incident response

SIEM experience

Forensics

AI security

Cloud-native

Tools

SIEM platforms

Job description

WRITER is a leading AI platform for marketing and revenue teams, delivering autonomous agents and enterprise-grade governance. The security team seeks an experienced security engineer to design detections, automate responses, and coordinate incident handling across cloud, AI, and engineering teams.

You will build detection-as-code, monitor GPU clusters, and help protect training data, models, and inference endpoints in a distributed AI environment with 24/7 on-call rotations.