Enterprise AI Architect: GenAI, LLM, & Secure Platform

In4Matic; Brussel Hoofdstad; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

In4Matic is seeking an experienced AI Architect to define and maintain a coherent architecture for generative AI, ML, and agentic AI in enterprise environments. You will establish reference architectures for on‑prem, cloud, and hybrid deployments, balancing data sensitivity, security, and operations while guiding production readiness.

You will translate regulatory and privacy requirements into actionable architectural guardrails, ADRs, and lifecycle practices, collaborating with security and

Qualifications

• Proven experience in enterprise IT architecture.
• Knowledge of API and event-driven architectures.
• Solid understanding of AI/LLM platform architectures (RAG, model serving).
• Translate security and privacy requirements into guardrails.
• Experience with ADRs, reference architectures, and non-functional requirements.
• Strong analytical and problem-solving skills.
• Excellent communication with stakeholders at all levels.
• Public sector experience is a plus.

Responsibilities

• Define, develop, and maintain architectures for generative AI, ML, and agentic AI.
• Create reusable reference architectures for on‑prem, cloud, and hybrid deployments.
• Develop guardrails for AI gateways, MCP, retrieval, identity, logging, observability.
• Advise teams on architectural decisions and production transition.
• Conduct architecture reviews and identify risks and debt.
• Collaborate with security, data, and other stakeholders on privacy and access.
• Identify reusable platform components and integration blocks.
• Monitor AI tech trends and translate into practical recommendations.

Skills

Solution architecture

API architecture

Event-driven architectures

Integration patterns

AI/LLM architectures

RAG and model serving

ADRs and reference architectures

Non-functional requirements

Stakeholder management

Analytical thinking

Job description

In4Matic is seeking an experienced AI Architect to define and maintain a coherent architecture for generative AI, ML, and agentic AI in enterprise environments. You will establish reference architectures for on‑prem, cloud, and hybrid deployments, balancing data sensitivity, security, and operations while guiding production readiness.

You will translate regulatory and privacy requirements into actionable architectural guardrails, ADRs, and lifecycle practices, collaborating with security and