AI Architect

Koda Tech

Brussel

Hybrid

EUR 148,000 - 221,000

Part time

4 hours ago
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Job summary

Koda Tech is seeking an experienced AI Architect in Brussels to define and guide the target architecture for Generative AI, ML and Agentic AI, ensuring security, scalability and alignment with enterprise architecture.

You will define and maintain AI target architectures across models, data flows, gateways, and platforms, working with technology, security, data and engineering teams from PoC to reliable production environments.

Qualifications

  • Extensive IT/solution architecture experience in complex enterprise environments.
  • Strong knowledge of LLM and AI platform architectures, including retrieval and agents.
  • Experience with APIs, event-driven architecture and enterprise integration.
  • Knowledge of reference architectures, ADRs, non-functional requirements and lifecycle.
  • Translate regulatory, privacy and security requirements into guardrails.
  • Excellent communication across architecture, engineering, security, data and business teams.
  • Ability to translate complex challenges into production-ready solutions.
  • Fluent English and French OR Dutch; tri-lingual preferred.

Responsibilities

  • Define target and reference architectures for GenAI, ML and Agentic AI.
  • Design architectural patterns across on-premise, cloud and hybrid environments.
  • Define frameworks for AI Gateways, MCP, retrieval/RAG, model access, agents, identity, logging and observability.
  • Guide delivery teams on architectural decisions, trade-offs and production transitions.
  • Conduct architecture reviews and identify technical debt, dependencies, risks and deviations.
  • Embed security, privacy, least privilege, data minimisation, isolation and traceability by design.
  • Define reusable AI platform, integration and developer-platform components.
  • Translate emerging AI technologies into practical architectural options and recommendations.

Skills

LLM/AI architecture
Solution architecture
APIs & EDA
Security by design
Regulatory compliance
Stakeholder advisory
Multidisciplinary collaboration
Languages: English + French/Dutch

Job description

A large public Belgian organisation is looking for an experienced AI Architect to define and guide its target architecture for Generative AI, Machine Learning and Agentic AI, ensuring AI solutions are secure, scalable and aligned with the wider enterprise architecture.

Location: Brussels, Hybrid

Contract: Freelance

Duration: 12 months minimum

The Role

You will define and maintain AI target and reference architectures, covering models, agents, data flows, gateways, platform services and applications. You'll work closely with technology, security, data and engineering teams to guide AI initiatives from experimentation and PoC through to reliable production environments.

Key Responsibilities
  • Define target and reference architectures for GenAI, ML and Agentic AI
  • Design architectural patterns across on-premise, cloud and hybrid environments
  • Define frameworks for AI Gateways, MCP, retrieval/RAG, model access, agents, identity, logging and observability
  • Guide delivery teams on architectural decisions, trade-offs and the transition from PoC/sandbox to production
  • Conduct architecture reviews and identify technical debt, dependencies, risks and deviations
  • Embed security, privacy, least privilege, data minimisation, isolation and traceability by design
  • Define reusable AI platform, integration and developer-platform components
  • Translate emerging AI technologies into practical architectural options and recommendations
Required Experience
  • Extensive Solution / IT Architecture experience within complex enterprise environments
  • Strong understanding of LLM and AI platform architectures, including retrieval, model serving, agents, evaluation and observability
  • Experience with APIs, event-driven architecture and enterprise integration patterns
  • Strong knowledge of reference architectures, Architectural Decision Records, non-functional requirements and lifecycle management
  • Ability to translate regulatory, privacy and security requirements into practical architectural principles and guardrails
  • Strong communication and advisory skills, working across architecture, engineering, security, data and business teams
  • Ability to analyse complex technical challenges and translate them into pragmatic, production-ready solutions
  • Languages at a fluent level: English + French OR Dutch (Trilingual Preferred)
Nice to Have
  • Experience within public sector or similarly complex regulated environments
  • Knowledge of G-Cloud or OISZ environments
  • Experience establishing reusable AI architecture and platform standards across multiple teams
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