A leading Belgian organisation is building a next-generation AI platform designed to enable employees to securely leverage artificial intelligence across the business. The platform will provide a centralised environment for developing, deploying and governing AI solutions, with a strong focus on scalability, security and responsible AI practices.

As a Senior AI Platform Architect, you will join a newly established AI Engineering team responsible for designing and evolving the core architecture that powers AI applications, assistants and autonomous agents across the organisation.

This is a highly hands-on architecture role suited to someone who enjoys combining technical leadership with engineering execution. You will play a key role in defining technical standards, guiding engineering teams, and shaping the long-term direction of a large-scale enterprise AI platform.

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The Role

You will act as the technical authority for the platform's core AI capabilities, helping define how AI services reason, retrieve information, interact with enterprise systems and safely operate in production environments.

Working closely with AI Engineers, Platform Engineers, Architects and Technology Leaders, you will design the foundational components that support enterprise-wide AI adoption. This includes agent orchestration frameworks, AI gateways, retrieval architectures, governance controls and evaluation frameworks that ensure AI solutions are secure, scalable and production-ready.

Alongside architectural ownership, you will remain actively involved in prototyping, technical design, code reviews and engineering decision-making.

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Key Responsibilities

• Define and own the architecture of large-scale agentic AI systems and orchestration frameworks.
• Design agent lifecycle management, memory architectures, state management and tool integration patterns.
• Lead the architecture and evolution of AI gateway capabilities, including model routing, governance, auditing and access controls.
• Design and optimise enterprise Retrieval-Augmented Generation (RAG) architectures using vector search and internal knowledge sources.
• Create secure retrieval frameworks that respect permissions, entitlements and data governance requirements.
• Establish AI governance controls, safety guardrails and responsible AI frameworks to support production deployment.
• Design and implement evaluation frameworks, monitoring solutions and acceptance testing processes for AI applications.
• Define service contracts, authentication mechanisms and integration patterns between AI services and enterprise platforms.
• Evaluate emerging AI frameworks, tools and technologies using a structured build-versus-buy approach.
• Provide technical leadership, mentor AI Engineers and help establish engineering standards across the AI function.
• Support hiring activities and contribute to the growth of a high-performing AI Engineering team.
• Collaborate with AI specialists and engineering teams to productionise successful AI use cases across the organisation.

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Requirements

Essential

• 8+ years of commercial software engineering experience.
• 3+ years architecting and delivering AI, Machine Learning or LLM-based systems into production environments.
• Strong experience designing enterprise AI platforms, AI products or agentic AI ecosystems.
• Expert-level Python development experience, ideally with FastAPI or similar frameworks.
• Deep knowledge of agent orchestration frameworks such as LangGraph, LangChain or equivalent technologies.
• Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience with embeddings, vector search, semantic retrieval and enterprise knowledge systems.
• Strong understanding of AI security concepts including prompt injection, hallucination mitigation, data leakage prevention and model governance.
• Experience building applications within Kubernetes or OpenShift environments.
• Strong understanding of distributed systems, API design and software architecture principles.
• Proven ability to provide technical leadership while remaining hands-on with engineering activities.
• Excellent stakeholder management and communication skills.

Desirable

• Experience within financial services or other highly regulated industries.
• Knowledge of AI evaluation platforms and observability tooling such as LangSmith.
• Experience with Elasticsearch, OpenSearch or other hybrid search technologies.
• Experience designing AI gateways, model-serving layers or internal AI platforms.
• Understanding of enterprise identity, authentication and authorisation frameworks.
• Experience implementing governance controls aligned to AI regulations and compliance requirements.
• Experience mentoring engineers and helping scale high-performing technical teams.

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What's on Offer

• Opportunity to play a key role in a large-scale enterprise AI transformation programme.
• Architectural ownership of a strategic AI platform used across the organisation.
• Work on cutting-edge Generative AI, Agentic AI and Enterprise AI initiatives.
• Collaborate with experienced engineers, architects and AI specialists.
• Significant influence over technology selection, platform direction and engineering standards.
• Long-term career progression within a growing AI and Technology function.
• Modern technology environment with significant investment in AI innovation.
• Competitive salary and comprehensive benefits package.
• Company car or mobility budget.
• Bonus, insurance and additional holiday benefits.
• Office-based environment with close collaboration across technical teams.

This role would suit a Principal AI Engineer, Lead AI Engineer, AI Architect, AI Platform Architect or GenAI Architect looking to take ownership of the architecture behind a large-scale enterprise AI platform.