AI Security Engineer — Govern Generative AI (Hybrid)

Leeds Building Society

Leeds

On-site

GBP 70,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Hybrid working 2 days in the office
Annual bonus up to 12%
Matched pension up to 10%
26 days holiday + bank holidays
Volunteer days
Mortgage and Saver products

Job summary

Leeds Building Society is seeking an experienced security engineer to protect members and enable secure AI adoption. You will assess AI-related risk, shape practical security controls and governance, and review AI-enabled solutions in collaboration with colleagues and partners.

The role emphasizes balancing innovation with regulatory compliance, with a focus on cloud/SaaS security in a financial services context. It offers hybrid working and a competitive bonus structure.

Qualifications

  • Experience in a Cloud SaaS/PaaS security engineering role, ideally in financial services or another regulated sector.
  • Hands-on experience assessing the security, privacy and operational risks of generative AI, LLMs and AI-enabled solutions in a change environment.
  • Knowledge of emerging AI security frameworks and standards, including NIST AI RMF, the OWASP Top 10 for LLM Applications, MITRE ATLAS and ISO 42001.
  • The judgement to balance innovation with security, regulatory compliance and operational resilience.
  • Clear communication skills and confidence explaining technical issues to non-technical audiences of all levels.
  • A collaborative approach, with the ability to work independently and coordinate expertise when needed.
  • Recognised IT or information security qualifications such as CISSP, CISM, Microsoft AI-500, SANS, TAISE, CCSP or CCSK
  • We'd also value experience across some of the following Microsoft Copilot, Copilot Studio, Azure OpenAI and Azure AI Foundry environments.

Responsibilities

  • Assess AI-related risk, shape practical security controls and governance.
  • Review AI-enabled solutions and tackle complex security challenges with colleagues and trusted partners.
  • Report to the Senior IT Security Manager and support secure adoption of AI technology.

Skills

Cloud security
AI risk assessment
Regulatory compliance
Communication
Independent working
Collaboration
Certifications (CISSP/CISM/CCSP)
Azure/Copilot/Azure OpenAI

Tools

Azure OpenAI
Copilot Studio
Microsoft Copilot
Azure AI Foundry

Job description

Leeds Building Society is seeking an experienced security engineer to protect members and enable secure AI adoption. You will assess AI-related risk, shape practical security controls and governance, and review AI-enabled solutions in collaboration with colleagues and partners.

The role emphasizes balancing innovation with regulatory compliance, with a focus on cloud/SaaS security in a financial services context. It offers hybrid working and a competitive bonus structure.

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