Senior AI Architect

Keystone Solutions; Brussel Hoofdstad; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Keystone Solutions is seeking a Senior AI Architect for a Brussels consultancy assignment. You will define and implement a strategic AI vision, ensuring responsible use, security, and governance across the organization.

The role demands collaboration with partners to design robust, scalable AI solutions and a modern data platform. You will lead architecture for ML, LLM, RAG, AI Agents, and computer vision, while coordinating cloud, hybrid, and on-prem deployments and orchestration with

Qualifications

• Minimum 5+ years of experience in designing and developing software solutions with AI focus.
• Master's degree or equivalent in computer science or related field, or proven equivalent expertise.
• Proven production deployment experience of AI solutions and strong AI engineering knowledge.

Responsabilités

• Define, design, and evolve AI architectures and contribute to the digital transformation.
• Collaborate with partners to translate operational needs into robust technical solutions.
• Create reference architectures for AI solutions and ensure security, governance, and compliance.
• Contribute to the AI Lab design, deployment, and ongoing evolution as a reference platform.
• Guide cloud, hybrid, and on-prem architectures, MLOps pipelines, and containerized environments.

Connaissances

AI Engineering

MLOps

LLM & Generative AI

Software Architecture

APIs REST

Cloud Platforms

Docker & Kubernetes

Data Management

Python

Formation

Master's degree in CS/AI

Description du poste

Mission Overview:

Keystone Solutions is seeking a Senior AI Architect for a consultancy mission at a client site. In this role, you will be instrumental in developing and implementing a strategic vision for artificial intelligence, ensuring its responsible use within the organization.

Main Responsibilities:

• You will serve as the technical reference for defining, designing, and evolving artificial intelligence architectures, playing a strategic role in the digital transformation of the organization.
• Collaborate closely with various partners to transform operational needs into robust and sustainable technical solutions.
• Design reference architectures for AI solutions, ensuring their seamless integration into the existing IT ecosystem while adhering to security, governance, compliance, performance, and maintainability requirements.
• Actively participate in the design, implementation, and evolution of the AI-Lab, which will serve as the reference platform for developing, experimenting, and deploying AI solutions.
• Define technical architectures for leveraging Machine Learning, Deep Learning, Large Language Models (LLM), generative AI, Retrieval Augmented Generation (RAG), AI Agents, Computer Vision, Speech AI, and emerging technologies.
• Provide expertise on cloud, hybrid, and on-premise architectures, data platforms, MLOps pipelines, API-oriented architectures, event-driven architectures, containerized environments, and orchestration platforms like Kubernetes.
• Ensure adherence to best practices in AI Engineering, MLOps, DevSecOps, and AI Governance, integrating cybersecurity, data protection, traceability, auditability, model risk management, and regulatory compliance into all proposed architectures.
• Collaborate with project managers to assess the technical feasibility of new initiatives, identify risks, and ensure alignment of developed solutions with the organization’s overall IT strategy.
• Maintain ongoing technological vigilance regarding developments in the AI market and evaluate new technologies that could add real value to the organization.

What We Expect:

• A comprehensive architectural vision to design scalable AI solutions integrated into the organization’s IT ecosystem.
• Analytical and synthesis capabilities to transform complex business needs into pragmatic technical architectures.
• Excellent collaboration skills to engage diverse profiles and unite stakeholders around common solutions.
• Technical leadership ability to guide teams without necessarily holding hierarchical responsibility.
• Curiosity for innovations in artificial intelligence, particularly in generative AI, LLMs, AI Agents, RAG, and new AI Engineering approaches.
• Results-oriented mindset to approach technical challenges systematically, identify root causes, evaluate multiple scenarios, and propose balanced solutions that meet operational, technical, and organizational needs.
• Communication skills to simplify complex technical concepts, advise decision-makers, and facilitate exchanges between business and technical teams.

Profile Requirements:

• Minimum 5+ years of experience in designing and developing software solutions, with at least 2 years in AI or Machine Learning architecture.
• Master's degree or equivalent in computer science, artificial intelligence, software engineering, or a related field, or equivalent professional experience demonstrating comparable expertise. Non-traditional backgrounds (career changers, self-taught, open source) are welcome if you can demonstrate your impact.
• Proven experience in designing, industrializing, and deploying AI solutions in production environments, from needs analysis to operational deployment.
• Strong knowledge of modern AI technologies, including LLMs, generative AI, RAG, AI Agents, and principles of AI Engineering and MLOps.
• Experience in defining cloud or hybrid architectures, ideally within the Microsoft Azure ecosystem, and integrating AI solutions within complex IT environments.
• Ability to work in a multidisciplinary environment and support technical teams in architectural choices and best practices.

Practical Information:

• Start Date: ASAP
• Work Regime: Full-time (40 hours/week)
• Work Location: Brussels
• Working Conditions: On-site presence at least 2 times a week depending on tasks and in agreement with the team, remote work allowed from home or at the employer's location (in Belgium).
• Team: Multidisciplinary, mix of internal and external collaborators.

Duration:

01/10/2026 - 31/12/2026 3 months (full time)

Skills required:

• AI Engineering & MLOps : MLflow, CI/CD, monitoring des modèles, versioning, retraining, industrialis - Level: Expert - Most recent: Any time
• Architecture IA : Large Language Models (LLM), IA générative, Machine Learning, Deep Learning, NLP, - Level: Expert - Most recent: Any time
• Architecture logicielle : APIs REST, microservices, architectures distribuées, intégration de soluti - Level: Expert - Most recent: Any time
• Cloud & Plateformes IA : Microsoft Azure, Azure AI Services, architectures Cloud et hybrides - Level: Expert - Most recent: Any time
• Conteneurisation & Orchestration : Docker, Kubernetes - Level: Expert - Most recent: Any time
• Gestion des données : SQL, NoSQL, Vector Databases - Level: Expert - Most recent: Any time
• Langages de programmation : Python - Level: Expert - Most recent: Any time

Language requirements:

Dutch
Level Active knowledge
English
Level Active knowledge
French
Level Active knowledge