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Technology Architect

Brussel, Brussel

AI Technology Architect Wanted
Location: Brussels

Start Date: ASAP

Assignment Duration: 6 months, with possibility of extension

Work Regime: 100%

Context

As a member of the architecture team, you will work together with the Chief Architect and other domain architects on shaping the IT architecture of the future. This architecture must meet the expectations of various business domains, align with infrastructure, cybersecurity, integration, technology, and data architecture visions, ensure security and availability, and comply with current insights and trends. It must be modern and future-oriented.

Responsibilities

Define and develop the technology architecture and drive the governance process.
Structurally update, document, and further develop the architectural repository.
Define and safeguard platform roadmaps and translate them into concrete projects.
Support Agile Teams and solution architects in developing roadmaps and architectures.

Profile

Passionate about AI platform architecture. You play a crucial role in designing, implementing, and managing a robust, scalable, and secure IT infrastructure.

Required Skills and Knowledge

1. Technical Expertise

Broad IT knowledge: networking, cloud computing, data centers, storage, virtualization, databases, endpoint management, and cybersecurity.
Experience with public, private, and hybrid cloud infrastructures.
Knowledge of Zero Trust Architecture and Identity & Access Management.
Understanding of Infrastructure as Code (IaC), CI/CD pipelines, and AIOps.
Architectural experience with monitoring tools such as Prometheus, Dynatrace, and AWS CloudWatch.
In-depth knowledge of machine learning / deep learning algorithms and model architectures.
Experience designing scalable AI systems, microservices, and distributed architectures.
Proficient in MLOps: model deployment, monitoring, and versioning.
Expertise in cloud platforms: AWS AI, Azure AI, and Google Cloud AI portfolios.
Solid understanding of data pipelines, big data tools (Spark, Hadoop), and ETL processes.
Knowledge of agentic AI, multi-agent systems, RAG, and knowledge architectures.
Understanding of AI security, guardrails, risk management, and compliance.
Experience with generative AI, multimodal models, and large language models (LLMs).

2. Architecture & Design Skills

Familiar with Enterprise Architecture frameworks such as TOGAF, Zachman, ITIL, COBIT.
Use of modeling tools and diagramming standards such as ArchiMate, UML, Visio, or BPMN.
Integration of cybersecurity as a core design principle.
Innovative and forward-thinking mindset.
Strong problem-solving skills and focus on cost efficiency.

3. Soft Skills & Leadership

Communication and stakeholder management.
Collaboration and influencing skills.
Coaching and knowledge sharing.

4. Experience & Certifications (Preferred)

Certifications such as COBIT, AWS/Azure Architect, TOGAF, ITIL, CISSP or CISM, VMware Certified Professional, CCNP/CCIE.
Experience in complex organizations and multi-cloud, hybrid IT environments.