Security Strategy & Enablement Lead bei AI Security Institute
AI Security Institute · London, Vereinigtes Königreich · Onsite
- Senior
- Optionales Büro in London
About the AI Security Institute
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10, and we work with frontier developers and governments globally.
We’re here because governments are critical for advanced AI going well, and AISI is uniquely positioned to mobilize them. With our resources and the UK government's unique agility and international influence, this is the best place to shape both AI development and government action.
About the Team:
Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We are founding the Security Engineering team in a largely greenfield cloud environment, we treat security as a measurable, researcher centric product.
Secure by design platforms, automated governance, and intelligence led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership.
What you might work on:
• Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely
• Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility)
• Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale
• Develop automated, evidence driven assurance mapped to relevant standards, reducing audit toil and improving signal
• Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them
• Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer
• Assess third party services and hardware/software supply chains; introduce lightweight controls that raise the bar
• Contribute to open standards and open source, and share lessons with the broader community where appropriate
If you want to build security that accelerates frontier scale AI safety research, and see your work land in production quickly, this is a good place to do it
Role Summary:
Responsibilities:
- Lead internal strategic planning, OKRs, delivery coordination, and progress tracking
- Own security comms: presentations, dashboards, monthly updates, and assurance packs
- Develop reusable material for onboarding, stakeholder engagement, and external briefings
- Coordinate cross-cutting initiatives, risks, and dependencies across the function
- Represent the CISO in meetings and planning forums as needed
- Build and maintain relationships across AISI (engineering, research, policy) and with DSIT security stakeholders
- Translate technical work into stories and narratives aligned to AISI’s mission
- Shape an integrated security + AI risk narrative, covering model lifecycle and how safeguards map to AISI’s mission
- Define and track outcome-oriented metrics that include AI surfaces (e.g., eval/release-gate coverage, model/weights custody controls, GPU governance posture, third‑party model/API usage patterns, key AI incident learnings)
- Curate enablement materials for AI/ML teams: secure/vetted patterns for model and data handling, use of external model APIs, and roles/responsibilities across shared responsibility boundaries
- Coordinate AI-governance touchpoints with DSIT and internal leads (e.g., readiness for NIST AI RMF/ISO 42001 where relevant), partnering with GRC to ensure consistent evidence and narratives
- Maintain a clear stakeholder map across research, platform, product, and policy; run the operating rhythm that keeps security and delivery aligned
Profile requirements:
- Background in strategy, product, cyber security, or technical programme leadership
- Exceptional written and verbal communication; able to switch fluently between technical and executive audiences
- Operates independently, prioritises well, and holds delivery to account
- Curious about how teams work, not just what they deliver
- Values structure, clarity, and momentum
- Practical familiarity with AI/ML concepts sufficient to translate between security, research, and policy
- Desirable: experience enabling research or ML organisations, and aligning security narratives with AI safety goals
Key Competencies
- Planning and roadmap ownership
- Internal comms and storytelling
- Operating rhythms, documentation, and delivery support
- Cross-functional leadership across engineering, research, and policy
- Outcome-focused metrics and OKRs that reflect security posture
Salary & Benefits
We are hiring individuals at all ranges of seniority and experience within this research unit, and this advert allows you to apply for any of the roles within this range. Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plus additional benefits as detailed on this page.
- Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280
- Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505
- Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195
- Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230
- Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230
This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures.
There are a range of pension options available which can be found through the Civil Service website.
Additional Information
Internal Fraud Database
The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register.
Security
Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here.
Nationality requirements
We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).
