Senior Cloud & AI Security Enablement Lead

LexisNexis Risk Solutions; United Kingdom; Remote; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Flexible working hours

Wellbeing initiatives

Parental leave

Pension plan

Job summary

LexisNexis Intellectual Property Solutions is seeking a Senior Cloud & AI Security Enablement Engineer to design and implement secure cloud and AI workflows. You will partner with Security Architecture, BISO, and DevOps teams to embed controls in landing zones, pipelines, and IaC, while enabling AI adoption with auditable, explainable processes.

The role focuses on building reusable security patterns, tooling, and guidelines for scalable security delivery across cloud and AI workloads in a

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.
• Practical knowledge of IAM, logging, encryption, secrets management, network security, storage security, vulnerability management, and secure CI/CD.
• Experience with infrastructure-as-code and cloud security tooling such as CSPM, CNAPP, IaC scanning, SAST, SCA, secrets scanning, or policy-as-code.
• Strong scripting, automation, workflow design, or tooling integration experience.

Responsibilities

• Cloud Security Engineering: 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.
• Identify repetitive BISO, AppSec, and Security Architecture tasks that can be safely accelerated through AI-assisted processes.
• Partner with GRC, Legal, Privacy, and security leadership to ensure AI-assisted security workflows are auditable, explainable, and aligned with internal risk expectations.
• Measure the effectiveness of AI-assisted workflows, including time saved, consistency improvements, review quality, and reduction in repeat manual work.
• Secure AI Application and Cloud-AI Guardrails: Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows.
• Establish cloud security requirements for AI workloads, including identity, secrets, data storage, network access, observability, workload isolation, and third-party AI service integrations in partnership with Sec Architecture & AppSec.
• Support AI application threat modelling and risk reviews in partnership with BISO/AppSec.
• Create developer-facing guidance for safe use of AI coding assistants, AI APIs, data ingestion, vector stores, model outputs, and AI-generated code in partnership with BISO/AppSec.
• Security Enablement and Workload Reduction: Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self-service workflows.
• Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review, architecture review, GRC input, or engineering remediation.
• Create and maintain a library of approved cloud and AI security patterns that product and engineering teams can reuse.
• Help reduce one-off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows.

Skills

ML engineering

Cloud security

Application security

Security architecture

DevSecOps

Automation

IAM

Logging

Encryption

Secrets management

Network security

Vulnerability management

IaC scanning

SAST

SCA

Policy-as-code

Scripting

CI/CD

Tools

CSPM

CNAPP

IaC scanning

SAST

SCA

Secrets scanning

Policy-as-code

Job description

LexisNexis Intellectual Property Solutions is seeking a Senior Cloud & AI Security Enablement Engineer to design and implement secure cloud and AI workflows. You will partner with Security Architecture, BISO, and DevOps teams to embed controls in landing zones, pipelines, and IaC, while enabling AI adoption with auditable, explainable processes.

The role focuses on building reusable security patterns, tooling, and guidelines for scalable security delivery across cloud and AI workloads in a