AI Architect

Freelance Opportunity: Senior AI Architect | Brussels

We are currently looking for a Senior AI Architect for an exciting AI transformation programme within a major public-sector organisation.

Location: Brussels

Start: ASAP

⏱️ Duration: 60 man-days + potential extension into 2027

Remote: 3 days remote per week

Languages: Dutch and/or French (mandatory) + English (mandatory)

The Role

The organisation is developing a strategic approach to the responsible and secure use of Artificial Intelligence , with a strong focus on innovation, governance, security and regulatory compliance.

A key initiative is the development of an AI Lab — a controlled and secure environment where AI solutions can be developed, tested and validated before potential deployment into production.

As Senior AI Architect , you will play a key role in this digital transformation, combining strategic vision with strong technical expertise to design robust, scalable and secure AI solutions.

Key Responsibilities

Act as the technical reference for AI architecture and digital transformation.

Design reference architectures for AI solutions and ensure integration into complex IT environments.

Contribute to the design and evolution of the organisation's AI Lab.

Define architectures for Machine Learning, Deep Learning, LLMs, Generative AI, RAG, AI Agents, Computer Vision and Speech AI .

Advise on cloud, hybrid and on-premise architectures.

Work with MLOps, AI Engineering, DevSecOps, Kubernetes, containerisation, APIs and event-driven architectures .

Integrate cybersecurity, data protection, governance, auditability and regulatory compliance into architectural decisions.

Collaborate with project managers, technical teams and business stakeholders.

Monitor emerging AI technologies and assess their potential business value.

Required Profile

Minimum 5 years of experience in software solution design and development.

At least 2 years of experience in AI/ML solution architecture .

Proven experience designing, industrialising and deploying AI solutions in production.

Strong knowledge of LLMs, Generative AI, RAG, AI Agents, AI Engineering and MLOps .

Experience with cloud or hybrid architectures , preferably Microsoft Azure.

Experience integrating AI solutions into complex IT environments.

Strong communication and stakeholder management skills.

Master's degree in Computer Science, AI, Software Engineering or a related field is a plus. Equivalent professional experience is also considered.

⭐ Nice to Have

Experience with:

Microsoft Azure & Azure AI Services

MLflow, CI/CD, model monitoring & versioning

REST APIs, microservices & distributed architectures

Docker & Kubernetes

SQL, NoSQL & Vector Databases

Python

AI Governance, cybersecurity and regulatory compliance