AI Architect

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

Function

We're looking for an experienced AI Architect to join our client's team and help shape the future of enterprise AI. In this role, you'll define and maintain a coherent architecture for generative AI, machine learning, and agentic AI solutions, ensuring that emerging technologies are integrated into the broader IT landscape in a secure, scalable, and sustainable way. You'll combine strategic thinking with hands‑on architectural guidance to turn innovative AI concepts into robust, production‑ready solutions.

Your Responsibilities

• Define, develop, and maintain target architectures for generative AI, machine learning, and agentic AI within complex enterprise environments.
• Establish reusable reference architectures and architectural patterns for on‑premises, cloud, and hybrid deployments, taking into account data sensitivity, integration requirements, security, and operational needs.
• Develop architectural principles and guardrails covering AI gateways, Model Context Protocol (MCP), retrieval mechanisms, model access, AI agents, identity management, logging, observability, and lifecycle management.
• Advise delivery teams and technology architects on architectural decisions, technical trade‑offs, and the transition from experimentation and proof of concept to production.
• Conduct architecture reviews and proactively identify deviations, technical debt, dependencies, and potential risks.
• Collaborate with security, data, and other architecture stakeholders to incorporate privacy, least‑privilege access, data minimization, isolation, and traceability into solution designs.
• Identify opportunities to create reusable platform components and integration building blocks in collaboration with platform and AI enablement teams.
• Monitor emerging AI technologies and translate relevant developments into practical recommendations, architectural options, and informed decision‑making.

Your Profile

We're looking for a forward‑thinking architecture professional who combines strong technical expertise with the ability to translate complex requirements into pragmatic, well‑structured solutions.

Your experience and technical skills include:

• Proven experience in solution architecture or IT architecture within enterprise environments.
• Knowledge of API architecture, event‑driven architectures, and integration patterns.
• A solid understanding of AI and large language model (LLM) platform architectures, including retrieval‑augmented generation (RAG), model serving, AI agents, evaluation, and observability.
• The ability to translate regulatory, security, and privacy requirements into actionable architectural principles and technical guardrails.
• Experience with architectural decision records (ADRs), reference architectures, non‑functional requirements, and technology lifecycle management.
• Strong analytical and problem‑solving skills, combined with an innovative mindset and a genuine interest in emerging AI technologies.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences.
• The ability to structure and visualize architectural concepts, facilitate multidisciplinary discussions, and guide stakeholders towards well‑founded decisions.
• A results‑oriented approach, with a strong focus on deadlines, quality, and tangible outcomes.
• Familiarity with public sector environments or specific government cloud and social security institutions is considered an asset.

Practical Information

• Location: Brussels, with the possibility of working partly from home.
• Languages: Active knowledge of Dutch and French, and passive knowledge of English.

Are you ready to help shape a secure, scalable, and future‑proof AI landscape? If you enjoy combining architectural vision with practical innovation, we'd love to hear from you!

Contactperson & Reference

• Reference #: INW28654
• Pieter Messely
• [e-mail]