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WRITER

Security engineer, detection and response (UK)

London
Posted about 7 hours ago
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🚀 About WRITER

WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

📐 About The Role

Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances.

This role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale.

You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense-in-depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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This role can be based in San Francisco reporting to our head of security operations.

🦸🏻‍♀️ What You’ll Do

  • 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

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⭐️ What You Need

  • 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

🍩 Benefits & Perks (UK Full-time Employees)

  • Generous PTO, plus company holidays
  • Comprehensive medical and dental insurance
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Competitive pension scheme and company contribution
  • Annual work-life stipends for:
    • 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
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Skills

Detection Engineering
Incident Response
AI Security
Python
KQL
SPL
SIEM
Forensic Investigation
Threat Hunting
Cloud Security
Prompt Injection Defense
Model Extraction Defense
Data Poisoning Defense
Detection-as-Code
GPU Cluster Security
Distributed Systems Security

Location

London, England, United Kingdom

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