AI Security Engineer

Mission Overview:

As an AI Security Engineer, you will build security throughout the entire AI lifecycle. This consultancy mission at a client site representing Keystone Solutions focuses on protecting AI solutions, models, agents, data, and integrations while ensuring responsible AI application for detection, analysis, vulnerability management, patch prioritization, and secure development.

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, unwanted 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.

Technical Competencies:

• Proven experience in cybersecurity engineering, cloud security, application security, IAM, SOC, or DevSecOps.
• Understanding of specific risks associated with LLMs, agents, retrieval, model, and data supply chains.
• Experience with security testing, technical risk assessments, and translating findings into actionable measures.
• Ability to enable innovation with proportional controls, without reducing security to a checklist.
• Knowledge of GDPR, AI Act, NIS2, or similar frameworks.
• Familiarity with the public sector, G-Cloud, or OISZ context is a plus.

Generic Competencies:

• Innovation: You keep up with the latest trends and experiment with innovative AI technologies.
• Problem-solving: You analyze complex issues and translate them into pragmatic solutions.
• Collaboration: You work smoothly with colleagues from various disciplines (IT, business, security, architecture).
• Communication: You can clearly explain technical concepts to both technical and non-technical stakeholders.
• Advising: You excel in structuring, visualizing, advising, and guiding multidisciplinary decision-making.
• Result-oriented: You monitor deadlines and ensure quality deliverables.

Selection Process:

Please attach a document of no more than 2 pages to your application outlining your vision on how the Federal Pension Service can safely and responsibly deploy artificial intelligence to create concrete value for its pension services and internal operations. Emphasize the technical security of AI solutions and the contribution you can make as an AI Security Engineer in identifying risks and designing, implementing, and testing appropriate security measures throughout the entire AI lifecycle.

After receiving the CVs, they will be analyzed, and a shortlist of 3-5 candidates will be created based on the criteria established in the ProUnity contract. These candidates will then be invited for an interview where their technical and generic competencies, as well as their language skills, will be evaluated. Subsequently, a ranking will be established.

Why Join Keystone Solutions:

At Keystone Solutions, you will engage in dynamic projects that offer a variety of challenges across different client environments. Our consultancy model emphasizes on-site work, allowing you to grow as a consultant while benefiting from turbo-charged learning experiences. We are committed to your career growth within our framework, and being a 'K-Stone' means bringing our core values to every engagement.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal .

Duration: 14/12/2026 - 13/12/2027 12 months • (full time)

Skills required:

• AI-securityrisico’s: LLM’s, agents, retrieval en model- en datasupply chains. - Level: Junior - Most recent: Any time
• Ervaring met het integreren van beveiligingsmaatregelen in softwareontwikkeling en cloudplatformen. - Level: Confirmed - Most recent: Any time
• Kennis van GDPR, AI Act, NIS2 of vergelijkbare frameworks. - Level: Junior - Most recent: Any time
• Security engineering: cybersecurity, cloud, applicaties, IAM, SOC of DevSecOps. - Level: Confirmed - Most recent: Any time
• Security testing en technische risicoanalyses vertalen naar uitvoerbare maatregelen. - Level: Junior - Most recent: Any time

Language requirements:

Dutch
Level Active knowledge
English
Level Active knowledge
French
Level Active knowledge