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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.
