Senior AI Architect – GenAI & Azure

Pauwels Consulting; Brussel Hoofdstad; Hybride; EUR 110 000 - 160 000; Plein temps

Avantages offerts par ce poste

Hybrid work (min 2 onsite days)

Brussels location

Contract: permanent or freelancer

Full-time

Résumé du poste

Pauwels Consulting partners with a key public sector organization to drive the strategic vision for responsible AI. The role focuses on designing scalable architectures and building an experimental environment for developing, testing, and validating advanced AI applications.

You will design reference architectures, lead an AI lab for ML and Generative AI, and define frameworks for LLMs, RAG, and AI Agents, while overseeing MLOps and DevSecOps for auditability and risk management.

Qualifications

• 8+ years in software design and architecture including APIs, microservices, and distributed systems.
• 5+ years in artificial intelligence and ML including Deep Learning and NLP.
• 3+ years designing cloud or hybrid architectures in Microsoft Azure and Azure AI Services.
• Proven experience in AI Engineering and MLOps using tools like MLflow.
• Strong knowledge of Generative AI, RAG, and AI Agents.
• Proficient in Python and data management (SQL, NoSQL, vector databases).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Ability to translate business needs into pragmatic architectures and communicate to stakeholders.
• Collaborative leadership to guide technical teams and federate stakeholders.
• Fluent English with knowledge of Dutch and French.

Responsabilités

• Design reference architectures for AI solutions within security and governance requirements.
• Lead a lab for testing and validating ML and Generative AI models.
• Define technical frameworks for LLM, RAG, and AI Agents.
• Oversee MLOps pipelines and DevSecOps practices for model auditability and risk management.
• Collaborate with project leads to align AI initiatives with IT strategy.
• Provide technical leadership and mentorship to multidisciplinary AI teams.

Connaissances

APIs

Microservices

Distributed systems

AI/ML

Deep Learning

NLP

Azure Cloud

Azure AI Services

MLOps

MLflow

Generative AI

RAG

AI Agents

Python

SQL

NoSQL

Vector databases

Docker

Kubernetes

Stakeholder communication

Leadership

English fluency

Dutch

French

Formation

Master’s degree in Computer Science, AI, or Software Engineering

Outils

MLflow

Docker

Kubernetes

Description du poste

Our client, a key organization in the public sector, is looking for an expert to drive their strategic vision for responsible artificial intelligence. The role focuses on designing scalable architectures and evolving an experimental environment for developing, testing, and validating advanced AI applications.

Responsibilities

• Design reference architectures for AI solutions ensuring seamless integration into the existing IT ecosystem while meeting security and governance requirements.
• Lead the technical development of an experimental laboratory for testing and validating Machine Learning and Generative AI models.
• Define technical frameworks for modern AI technologies including Large Language Models (LLM), Retrieval Augmented Generation (RAG), and AI Agents.
• Oversee the implementation of MLOps pipelines, DevSecOps practices, and AI governance to ensure model auditability and risk management.
• Collaborate with project leads to evaluate technical feasibility and align AI initiatives with the broader IT strategy.
• Provide technical leadership and mentorship to multidisciplinary teams on AI engineering and architecture best practices.

Requirements

• You have 8+ years of experience in software design and architecture, with a focus on APIs, microservices, and distributed systems.
• You possess 5+ years of expertise in artificial intelligence and Machine Learning, including Deep Learning and NLP.
• You bring 3+ years of experience designing Cloud or hybrid architectures, specifically within the Microsoft Azure ecosystem and Azure AI Services.
• You have proven experience in AI Engineering and MLOps, utilizing tools like MLflow for model monitoring, versioning, and industrialization.
• You possess deep knowledge of modern AI technologies, including Generative AI, RAG, and AI Agents.
• You have technical proficiency in Python and data management with SQL, NoSQL, and Vector Databases.
• You have practical experience with containerization and orchestration using Docker and Kubernetes.
• You're able to translate complex business needs into pragmatic technical architectures and communicate them to stakeholders.
• You're a collaborative leader capable of guiding technical teams and federating stakeholders around common solutions.
• You are fluent in English with active knowledge of Dutch and French.

Nice to Haves

• Master’s degree in Computer Science, Artificial Intelligence, or Software Engineering.
• Experience with Computer Vision or Speech AI.
• Familiarity with the AI Act and its implications for technical compliance.

Offer

• Start date: ASAP
• Duration: 3 months (prolongable)
• Work regime: Full-time
• Location: Brussels
• Working model: Hybrid (minimum 2 days per week onsite)
• Contract: open to both permanent employees and freelancers