On-Site AI Security Engineer — GenAI & Cloud Protections

Keystone Solutions; Brussel; On-site; EUR 70,000 - 110,000; Full time

Job summary

Keystone Solutions is seeking an AI Security Engineer for a client-site consultancy in Belgium. You will secure the AI lifecycle across models, agents, data, and integrations while ensuring responsible AI practices through detection, vulnerability management, patch prioritization, and secure development.

The role emphasizes securing GenAI/ML solutions, implementing guardrails, conducting risk assessments, and aligning with GDPR and AI act requirements.

Qualifications

• Experience in cybersecurity engineering, cloud security, IAM, SOC or DevSecOps.
• Understanding of risks with LLMs, agents, retrieval and data supply chains.
• Experience with security testing and technical risk assessments.
• Ability to enable innovation with proportional controls without reducing security to a checklist.
• Knowledge of GDPR, AI Act, NIS2 or similar frameworks.
• Familiarity with public sector contexts like G-Cloud or OISZ is a plus.

Responsibilities

• Conduct threat modeling, risk, and security assessments for GenAI, ML, and agentic AI solutions.
• Develop guardrails for identity, least privilege, secrets, network isolation, data and prompt security, tool usage, output validation, logging, and monitoring.
• Test abuse scenarios, including prompt injection, data exfiltration, excessive permissions, unreliable output, and misuse of tools or agents.
• Integrate security requirements into sandboxes, gateways, pipelines, model and dependency management, and production platforms.
• Assist in designing security monitoring and incident response for AI components, including ownership, audit trails, and escalation.
• Evaluate vendors, models, libraries, and external AI services as part of supply chain risk.

Job description

Keystone Solutions is seeking an AI Security Engineer for a client-site consultancy in Belgium. You will secure the AI lifecycle across models, agents, data, and integrations while ensuring responsible AI practices through detection, vulnerability management, patch prioritization, and secure development.

The role emphasizes securing GenAI/ML solutions, implementing guardrails, conducting risk assessments, and aligning with GDPR and AI act requirements.