About the role

The AI Security Engineer will implement security-by-design controls across AI use cases and platform integrations while managing security reviews and remediation. They will also support the secure adoption of external AI vendors and lead incident readiness efforts in collaboration with SOC teams.

What they look for

IT Security Cyber Security Cloud Security AI Security Security-by-design Risk Management API Security Data Protection Incident Response Security Architecture Compliance Monitoring Sandboxing Prompt Injection Mitigation Security Auditing

Requirements

Candidates must have 7+ years of experience in IT and Cyber Security with a focus on secure AI and cloud-based technology delivery. Strong expertise in translating security policies into practical controls and mitigating AI-specific risks like prompt injection and data leakage is required.

Full description

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Responsibilities

- 7+ years of experience in IT & Cyber Security Experience across transformation, digital and platform environments, with a focus on secure AI and cloud-based technology delivery.

- Handle the embedded security-by-design across AI use cases, agents and platform integrations, implementing controls for access, secrets, logging, monitoring, sandboxing and API/tool restrictions.

- Translate security policies and architecture into practical controls, reusable patterns and guidance for AI teams, ensuring alignment with risk, third-party and operational requirements.

- Lead security reviews and remediation, preparing security-gate evidence, driving control-gap resolution and escalating unresolved risks and delivery issues.

- Mitigate AI-specific security risks, including prompt injection, data leakage, excessive permissions, insecure tool usage and weak auditability through secure deployment and hardening practices.

- Support secure adoption of external AI vendors, models and APIs, ensuring appropriate safeguards for data protection, segregation and third-party security compliance.

- Strong AI incident readiness through detection, logging, response playbooks, exercises and collaboration with SOC and central security teams, while promoting reusable secure AI delivery patterns across the organisation.