What you will do
You will define and maintain the target architecture for generative AI, machine learning and agentic AI within a public-sector organisation. Your role is to ensure that AI solutions integrate coherently with the existing IT landscape and meet requirements for security, privacy, continuity and manageability.
Your responsibilities include:
- Developing and maintaining the target architecture for generative AI, machine learning and agentic AI
- Creating reference architectures and decision patterns for on-premises, cloud and hybrid deployment, aligned with sensitivity, integration needs and operational requirements
- Defining architectural frameworks for AI Gateway, Model Context Protocol, retrieval, model access, agents, identity, logging, observability and lifecycle management
- Guiding delivery teams together with technology architects on architectural choices, trade-offs and the transition from sandbox or proof of concept to production
- Conducting architecture reviews and making deviations, technical debt, dependencies and risks visible in a timely manner
- Integrating privacy, least privilege, data minimisation, isolation and traceability by design together with security and data functions
- Identifying and prioritising reusable platform and integration building blocks with the AI Enabling Team and the Internal Developer Platform
- Translating technological evolutions into concrete impact, options and decision points for the organisation
What we are looking for
Technical competencies
- Extensive experience in solution architecture or IT architecture in enterprise environments
- Experience with APIs, event and integration patterns
- Insight into LLM and AI platform architectures, retrieval, model serving, agents, evaluation and observability
- Ability to translate regulation 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 an asset
Generic competencies
- Innovation: you follow the latest trends and experiment with innovative AI technologies
- Problem-solving ability: you analyse complex issues and translate them into pragmatic solutions
- Collaboration: you work smoothly with colleagues from different disciplines (IT, business, security, architecture)
- Communication: you can clearly explain technical concepts to both technical and non-technical stakeholders
- Advisory skills: you are strong in structuring, visualising, advising and guiding multidisciplinary decision-making
- Results-oriented: you monitor deadlines and ensure quality deliverables
Languages
- Dutch: active knowledge
- French: active knowledge
- English: passive knowledge
The setting
This assignment runs for 12 months, starting in December 2026. The work location is Brussels, with hybrid working available.
As part of your application, you will be asked to submit a document of maximum two pages outlining your vision on how a public-sector organisation can deploy artificial intelligence safely and responsibly to create concrete added value for its services and internal operations. The emphasis should be on a coherent, scalable and manageable AI architecture and the contribution you can make as AI Architect in defining the target architecture, reference architectures and technical frameworks, integrating AI solutions into the existing IT landscape, and guiding the transition from experiment to production.
How you join us
You can join us for this assignment as a freelancer or as an employee of HumanInTech. Same role, same team.
If you join as an employee, your employment continues beyond this assignment. When it ends, we’ll work together to find your next assignment.