Enterprise Architect AI

Our financial services client is investing in a next-generation technology and AI landscape and is seeking a senior Enterprise AI Architect to shape the target state and govern its execution. Working alongside the Chief Architect and domain architecture leads, you will define a secure, resilient, and future-ready architecture that meets regulatory expectations, aligns with enterprise platform strategies, and supports business transformation without compromising service continuity.

• Define and continuously evolve the enterprise AI and technology architecture, including principles, standards, reference models, roadmaps, and reusable patterns.
  

• Establish and run architecture governance, ensuring consistent design decisions, traceability, and compliance with risk, security, and data policies.
  

• Convert strategic platform directions into sequenced, deliverable initiatives, enabling controlled migration from current to target state.
  

• Provide architectural oversight to Agile delivery teams and solution architects, ensuring alignment with approved blueprints and operational guardrails.
  

• Embed availability, resilience, and security-by-design across all technology domains.
  

• End-to-end infrastructure knowledge across networking, compute, storage, virtualisation, databases, endpoint management, and cyber controls.
  

• Proven delivery in multi-cloud and hybrid environments (AWS, Azure, GCP).
  

• Strong Zero Trust, IAM, and secure connectivity architecture.
  

• Automation and platform engineering practices (IaC, CI/CD, AIOps).
  

• Observability and performance architecture for mission-critical systems.
  

• Advanced knowledge of ML/DL model architectures and enterprise deployment patterns.
  

• Design of scalable AI platforms using microservices and distributed processing.
  

• Full MLOps lifecycle governance: packaging, release, monitoring, drift management, and lineage.
  

• Large-scale data engineering (ETL, streaming/batch pipelines, Spark/Hadoop, data platform integration).
  

• Hands-on experience with generative AI, multimodal models, and LLM-based solutions.
  

• Knowledge frameworks including retrieval-augmented generation, knowledge graphs, and agent orchestration.
  

• AI control frameworks addressing bias, explainability, model risk, hallucination mitigation, and regulatory obligations (e.g., GDPR, EU AI Act).
  

• Awareness of emerging AI interoperability standards and architectural patterns.
  

A proven delivery record of autonomous, goal-driven AI solutions in regulated environments is essential. This includes designing and productionising agent and multi-agent architectures capable of interpreting objectives, decomposing tasks, orchestrating tools, iterating through reasoning loops, and executing complex workflows end-to-end. Implementations must demonstrate strong governance, auditability, exception management, human oversight checkpoints, and integration with core banking, risk, or operational platforms.

• Experience with established enterprise architecture methods (e.g., TOGAF, Zachman, COBIT, ITIL).
  

• Strong modelling capability using standard notations and tooling (ArchiMate, UML, BPMN).
  

• Security and compliance embedded as foundational design principles.
  

• Able to balance innovation with operational stability, cost efficiency, and risk management in a regulated FSI context.
  

• Strong analytical capability to resolve complex, cross-domain challenges.
  

• Effective communicator across engineering teams, business stakeholders, and executive leadership.
  

• Experience mentoring architects and enabling delivery teams through standards and best practice.
  

• Track record within large, complex financial institutions operating hybrid, multi-cloud estates and legacy integration landscapes.
  

• Relevant certifications in enterprise architecture, cloud platforms, security, or service management are advantageous.
  

Professional fluency in Dutch, French, and English is required.

This assignment suits a senior architect who combines deep technical authority with strategic vision to deliver secure, scalable AI platforms that meet the evolving demands of the financial services sector.