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AI Security Engineer

Venda Do Pinheiro, Malveira

Job description

Our client is one of Europe’s largest parcel service providers, with a strong local presence across roughly 40 countries, more than 120 hubs and over 1,600 depots.

They are centrally driving our AI agenda across the Group. They operate a two-engine model: specialized AI Hubs delivering advanced use cases and an Agentic Platform that will progressively enable countries to build and run their own agents.
As they embed Agentic AI across countries, they need a strong security backbone to keep AI delivery safe, trustworthy and compliant by design.

As AI Security Engineer, you are the first line security engineering role within the Central AI team / AI Hubs. Your mission is to ensure that AI use cases, agents, and supporting platform components are built and operated securely by design and in line with the groupwide security framework.

You work hands-on with AI product, engineering, and platform teams to translate central security requirements into practical technical controls, implementation patterns, evidence, and delivery guardrails. You are embedded close to delivery, while maintaining a dotted line to Group Chief Information Security Officer (CISO) department to ensure alignment with group standards, security architecture principles, and control expectations.

This is a hands-on role with strategic weight. You’ll work closely with the Group AI leadership team, the Agentic Platform team, Group CISO, the Data Protection Office, and country IT and security leads.

Responsibilities and Duties

  • Embed security by design across AI use cases, agents, and platform integrations, with strong controls for access, secrets, logging, monitoring, sandboxing, tool and API restrictions, and external integrations;
  • Translate group security policies and architecture into practical controls, reusable patterns, and guidance for AI teams, ensuring alignment with risk, third-party, supplier, and operational requirements;
  • Prepare security-gate evidence, drive remediation from reviews, and escalate unresolved control gaps, deviations, or delivery risks;
  • Address AI-specific risks such as prompt injection, data leakage, insecure tool use, excessive permissions, and weak auditability through hardening and secure deployment patterns;
  • Support due diligence and secure implementation for external AI vendors, models, orchestration components, and APIs, with the right safeguards for data protection and segregation;
  • Strengthen AI incident readiness through detection, logging, response scenarios, playbooks, exercises, and close collaboration with SOC and central security teams;
  • Scale secure AI delivery through reusable patterns, stronger hub capability, and lessons shared back into the groupwide security model.
    What we need

You’re a senior IT security specialist who has run security across large, cross-country technology programs and is comfortable being the security voice in the room with executives, engineers and country teams alike. You don’t see security as a brake on delivery; you see it as the thing that makes ambitious AI delivery possible.

Why this role matters
AI is one of the most disruptive shifts our client has taken on, and security is what determines how far we can take it.
This role sits at the centre of that: making sure the agents we put into our network are safe, the data we feed them stays protected, and the controls we build let countries deliver fast without inheriting risk they can’t manage. We’re moving fast with a trial-and-error mindset - your job is to make sure we can keep doing that, safely



Requirements

  • 7+ years in IT and cyber security, with at least some of that in transformation, digital or platform contexts; 
  • Solid technical grounding in cloud security, identity and access management, application security and secure SDLC;
  • Working knowledge of AI/ML and Agentic AI security: prompt injection, data leakage, agent identity, tool-use risk, model supply chain. Familiarity with OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF;
  • Experienced with threat modeling, risk assessment and security architecture for distributed systems;
  • Strong stakeholder management; able to challenge solution designs constructively and influence without full hierarchical authority;


Nice to have
  • A Prior security responsibility in a multi-country, federated environment (logistics, retail, financial services);
  • Hands-on exposure to LLM and agent platforms (e.g. Azure AI, Anthropic, OpenAI, Vertex, LangChain) and MLOps tooling;
  • CISSP, CISM or equivalent;
  • Experience contributing to or running AI red-teaming exercises.

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