Senior Cloud & AI Security Enablement Lead

LexisNexis Risk Solutions

Farringdon

On-site

GBP 90,000 - 135,000

Full time

12 days ago
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Job summary

LexisNexis Intellectual Property Solutions (LNIP) seeks a Senior Cloud & AI Security Enablement Engineer to design reusable cloud guardrails and AI-assisted security workflows. You will partner with Security Architecture, BISO, Cloud/Platform Engineering, and GRC to reduce manual effort and accelerate secure AI adoption.

The role requires hands-on cloud security, CS tooling, and strong collaboration with engineering teams to build secure, compliant cloud and AI environments.

Qualifications

  • Experience in machine learning engineering.
  • Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation.
  • Hands-on experience with at least one major cloud platform such as AWS or Azure.

Responsibilities

  • Build and maintain reusable cloud security guardrails for identity, logging, encryption, network segmentation, secrets management, storage, workloads, containers, serverless services, and data protection.
  • Translate security architecture standards into deployable cloud patterns, reference implementations, templates, and engineering-ready requirements.
  • Partner with cloud, platform, DevOps, and product engineering teams to embed security controls into cloud landing zones, CI/CD pipelines, infrastructure-as-code workflows, and operational processes.
  • Support the implementation and tuning of CSPM, CNAPP, cloud workload protection, IaC scanning, secrets scanning, and related cloud security tooling.
  • Develop policy-as-code and control-as-code mechanisms to prevent, detect, and report common cloud misconfigurations.
  • Support cloud-native vulnerability and misconfiguration remediation by providing prioritization logic, remediation guidance, and reusable fix patterns.
  • Establish cloud security metrics and dashboards covering control adoption, misconfiguration trends, remediation progress, recurring issues, and exception patterns.
  • AI Security Enablement: Design and maintain AI-assisted workflows for security intake triage, threat model drafting, architecture review summaries, control mapping, remediation guidance, and risk statement generation.
  • Build prompt libraries, review rubrics, validation steps, and human-in-the-loop processes for approved AI use within Information Security.

Job description

LexisNexis Intellectual Property Solutions (LNIP) seeks a Senior Cloud & AI Security Enablement Engineer to design reusable cloud guardrails and AI-assisted security workflows. You will partner with Security Architecture, BISO, Cloud/Platform Engineering, and GRC to reduce manual effort and accelerate secure AI adoption.

The role requires hands-on cloud security, CS tooling, and strong collaboration with engineering teams to build secure, compliant cloud and AI environments.

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