Design and document reusable architectural patterns and data flows for AI-enabled analytics services;

Build and deploy data pipelines for ingestion, transformation, model training, and real-time inference;

Support the integration of containerised ML components using orchestration tools (e.g. Kubernetes);

Implement event-driven APIs and data connectors to enable distributed and reusable data services;

Contribute to TAXUD’s DevOps and CI/CD processes with a focus on analytics and intelligent services;

Develop observability mechanisms for monitoring model and pipeline performance (e.g. Grafana);

Document architectural and operational components in line with enterprise standards;

Ensure reproducibility and architectural modularity in deployed solutions.

B2 level of English minimum. Any level of French is an asset.

At least 5 years of experience in software or data engineering, including applied work in AI/ML contexts;

Demonstrated experience in designing and implementing full data pipelines in production environments;

Proven capacity to deploy and monitor intelligent systems within modular and distributed architecture;

Familiarity with real-time, event-driven, or edge-oriented system architectures;

Contributions to the implementation of analytics infrastructure that is modular, testable, and scalable;

Background in intelligent mobility, cloud robotics, or automation considered a strong asset..

Proficiency in Python, Java, and modern software engineering practices;

Experience with containerisation and orchestration tools such as Docker and Kubernetes;

Hands-on experience with AI and ML libraries (e.g. scikit-learn, TensorFlow, pandas);

Familiarity with distributed data processing (e.g. Apache Kafka, Airflow);

Knowledge of DevOps tools and CI/CD workflows (e.g. Jenkins, GitHub Actions);

Ability to design system-level monitoring and observability frameworks (e.g. Grafana, Prometheus);

Experience developing and documenting technical architecture for data and analytics systems;

Capacity to communicate across technical and policy domains in a collaborative environment.;

Autonomy in delivering model-based analytics aligned with architectural and business needs.;

English

Artificial Intelligence

Machine Learning

Python

Java

Docker

Kubernetes

Apache Kafka

Jenkins

Grafana

Prometheus

Our client within the European Institutions is currently looking for an Enterprise Architect to work on the design and document reusable architectural patterns and data flows for AI-enabled analytics services;

Public

Enterprise Architect

Daily rate: €320-€365

Location:

Brussels, Belgium

Apply before:

23/01/2026

Project summary

Languages needed

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