AI Architect

Keystone Solutions; Brussel; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Keystone Solutions seeks an AI Architect for a client-site consultancy in Brussels. You will define the target architecture for generative AI, ML and agentic AI, and oversee integration patterns and data flows ensuring security and privacy by design.

You will guide delivery teams through architectural choices, establish reference architectures for on-prem, cloud, and hybrid deployments, and translate evolving tech into concrete client decisions.

Qualifications

• Extensive solution/IT architecture experience in enterprise environments.
• Experience with APIs, event and integration patterns.
• Understanding of LLM and AI platform architectures, retrieval, model serving, agents, evaluation, observability.
• Translate regulations and security requirements into architectural principles and guardrails.
• Experience with architectural decision records, reference architectures, non-functional requirements, lifecycle management.
• Knowledge of public sector, G-Cloud or OISZ context is a plus.

Responsibilities

• Develop and maintain the target architecture for generative AI, ML, and agentic AI.
• Establish reference architectures and decision patterns for on-prem, cloud and hybrid deployments.
• Define frameworks for AI Gateway, Model Context Protocol, retrieval, model access, agents, identity, logging, observability, and lifecycle management.
• Guide delivery teams in architectural choices, trade-offs, and transition from PoC to production with technology architects.
• Conduct architecture reviews and highlight deviations, debt, dependencies and risks.
• Integrate privacy, least privilege, data minimization and traceability by design in collaboration with security and data teams.
• Identify and prioritize reusable platform and integration blocks with the AI Enabling Team and Internal Developer Platform.
• Translate technological evolutions into concrete impacts, options, and decisions for the client.

Skills

API architectures

Event-driven patterns

Integration patterns

LLM AI platform architectures

Security requirements translation

Architectural decision records

Tools

Architectural tooling

Cloud/on-prem/hybrid experience

Job description

Mission Overview

We are seeking an AI Architect for a consultancy mission at a client site, representing Keystone Solutions. The AI Architect will define and oversee the target architecture, reference architectures, and integration patterns for AI. This role ensures that models, agents, data flows, gateways, platform services, and applications coherently align with the broader architecture and meet security, privacy, continuity, and manageability requirements.

Responsibilities

• Develop and maintain the target architecture for generative AI, machine learning, and agentic AI.
• Establish reference architectures and decision patterns for on-premises, cloud, and hybrid deployments, tailored to sensitivity, integration needs, and operational requirements.
• Define architectural frameworks for AI Gateway, Model Context Protocol, retrieval, model access, agents, identity, logging, observability, and lifecycle management.
• Guide delivery teams in architectural choices, trade-offs, and the transition from sandbox or PoC to production in collaboration with technology architects.
• Conduct architecture reviews and timely highlight deviations, technical debt, dependencies, and risks.
• Integrate privacy, least privilege, data minimization, isolation, and traceability by design in collaboration with security and data functions.
• Identify and prioritize reusable platform and integration building blocks with the AI Enabling Team and the Internal Developer Platform.
• Translate technological evolutions into concrete impacts, options, and decision points for the client.

Technical Competencies

• Extensive experience in solution architecture or IT architecture in enterprise environments.
• Experience with APIs, event, and integration patterns.
• Understanding of LLM and AI platform architectures, retrieval, model serving, agents, evaluation, and observability.
• Ability to translate regulations and security requirements into practical architectural principles and guardrails.
• Experience with architectural decision records, reference architectures, non-functional requirements, and lifecycle management.
• Knowledge of the public sector, G-Cloud, or OISZ context is a plus.

Generic Competencies

• Innovation: You keep up with the latest trends and experiment with innovative AI technologies.
• Problem-solving: You analyze complex issues and translate them into pragmatic solutions.
• Collaboration: You work smoothly with colleagues from various disciplines (IT, business, security, architecture).
• Communication: You can clearly explain technical concepts to both technical and non-technical stakeholders.
• Advising: You excel in structuring, visualizing, advising, and facilitating multidisciplinary decision-making.
• Result-oriented: You monitor deadlines and ensure quality deliverables.

Work Location

The position is located in Brussels. We offer the possibility of part-time teleworking.

Duration

14/12/2026 - 13/12/2027 12 months

• (full time)

Skills required

• API-, event- en integratiearchitecturen en -patronen - Level: Confirmed - Most recent: Any time
• Architectural Decision Records, referentiearchitecturen, non-functionele vereisten en lifecyclebehee - Level: Expert - Most recent: Any time
• LLM- en AI-platformarchitecturen, inclusief retrieval, model serving, agents, evaluatie en observabi - Level: Junior - Most recent: Any time
• Solution- of IT-architectuur in complexe enterpriseomgevingen - Level: Expert - Most recent: Any time
• Vertaling van regelgeving, privacy- en securityvereisten naar architectuurprincipes en guardrails - Level: Confirmed - Most recent: Any time

Language requirements

Dutch
Level Active knowledge

English
Level Passive knowledge

French
Level Active knowledge