Senior Cloud & AI Security Enablement Architect

Reed Technology; East Devon; On-site; GBP 85,000 - 120,000; Full time

Job summary

LexisNexis Intellectual Property Solutions (LNIP) seeks a Senior Cloud & AI Security Enablement Engineer to design and operate cloud security controls and AI‑driven security workflows. You will implement guardrails, automate checks, and partner with Engineering to embed security into cloud landing zones, CI/CD, and templates.

You will enable AI adoption while maintaining auditable, explainable security practices and measuring time saved and consistency improvements across security delivery.

Qualifications

• Experience in machine learning engineering and cloud security engineering.
• Hands‑on with IAM, logging, encryption, secrets management and network security.
• Experience with IaC tooling and security tooling (SCPM/CNAPP, SAST/SCA).
• Ability to turn standards into practical, deployable patterns.
• Familiarity with AI security risks and LLM‑enabled application security.

Responsibilities

• Build and maintain reusable cloud security guardrails across services.
• Translate standards into deployable patterns, templates and requirements.
• Partner with engineering to embed security into pipelines and IaC workflows.
• Support CSPM, CNAPP, IaC scanning and related tooling.
• Develop policy‑as‑code and control‑as‑code mechanisms.
• Provide remediation guidance and reusable fix patterns.
• Establish dashboards for security metrics and trends.
• Design AI‑assisted security workflows and guidance.

Skills

ML engineering

Cloud security

App security

Security architecture

DevSecOps

Automation

Tools

CSPM

CNAPP

IaC scanning

SAST

SCA

Secrets scanning

Policy-as-code

Job description

LexisNexis Intellectual Property Solutions (LNIP) seeks a Senior Cloud & AI Security Enablement Engineer to design and operate cloud security controls and AI‑driven security workflows. You will implement guardrails, automate checks, and partner with Engineering to embed security into cloud landing zones, CI/CD, and templates.

You will enable AI adoption while maintaining auditable, explainable security practices and measuring time saved and consistency improvements across security delivery.