AI Foundation Architect (AI)

Location: Grimbergen and Brussels, Belgium

Company

hirify.global is an international data, digital, and AI consulting group with over 30 years of experience, 2,800 employees, and operations across 28 countries.

What you will do

• Define target architectures for production GenAI and agentic systems, connecting models, agents, enterprise data, applications, APIs, cloud infrastructure, security, and operational services.
• Establish architecture principles, reference patterns, technical boundaries, non-functional requirements, and reusable design standards.
• Make and document architecture decisions covering model access, integrations, agent execution, data access, deployment, scalability, resilience, observability, and cost.
• Review solution and engineering designs, approving material decisions within the assigned architecture scope.
• Guide AI, software, data, governance, and delivery specialists while engaging client architects and technical stakeholders.
• Develop reusable reference architectures, decision records, standards, patterns, and architecture-level AI FinOps approaches.

Requirements

• 8+ years of experience designing complex architectures.
• Strong experience owning architecture for complex production technology environments and making cross-system technical decisions.
• Recent practical experience architecting production GenAI, LLM, or agentic systems across models, data, applications, integrations, and operational infrastructure.
• Deep expertise in at least one major cloud and AI ecosystem, with the breadth to evaluate comparable technologies and integration approaches.
• Strong understanding of distributed systems, APIs, integration architecture, identity and access, security, scalability, resilience, observability, and production operations.
• Ability to define and communicate reference architectures, technical standards, interface boundaries, non-functional requirements, and architecture decisions.
• Strong technical judgment when balancing performance, reliability, security, maintainability, latency, cost, and operational complexity.
• Data architecture experience covering Lakehouse, data mesh, streaming, and feature stores.
• Fluency in English and Dutch and/or French.

Nice to have

• Experience with RAG, agentic, multi-model, model access, and deployment architectures.
• Understanding of MLOps/LLMOps, CI/CD, containers, infrastructure automation, monitoring, and lifecycle management.
• Experience working with client architects, engineering leaders, security teams, and technical decision-makers.
• Experience conducting architecture reviews and guiding multiple engineering disciplines.
• Experience with AI agent platform engineering, reference implementations, enterprise architecture frameworks, regulated environments, event-driven systems, or high-scale architectures.
• Consulting or professional-services experience.

Culture & Benefits

• Work on data and digital projects focused on operationalizing AI and building intelligent systems.
• Access to more than 30,000 digital learning courses, a training budget, coaching, regular check-ins, and expert communities.
• Benefits include a mobility budget or company car, net allowances, eco vouchers, hospitalisation and group insurance, and a flexible bonus plan.
• Culture emphasizes collective intelligence, reliability, pragmatism, entrepreneurial spirit, ownership, feedback, and continuous development.
• Brussels offices, employee events, sports activities, and workplace community initiatives are available.

Hiring process

• Conversation with the Talent team about background, expectations, and the role.
• Technical architecture discussion focused on recent production AI architecture, architecture decisions, system boundaries, non-functional requirements, and the primary technology ecosystem.
• Architecture case or representative challenge followed by a final conversation with technical or business leadership.