AI Architect
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Freelance Opportunity: Senior AI Architect | Brussels
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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. xlxgzvr 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