Enterprise Architect AI
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Engagement Overview
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.
Scope of Work
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.
Required Technical Depth
Enterprise Technology & Cloud
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.
AI Platforms & Data Ecosystems
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.
Autonomous / Agent-Based AI (Mandatory)
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.
Architecture Practice
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.
Strategic & Leadership Profile
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.
Environment
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.
Languages
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.
Company Industry
IT Services and IT Consulting
Key Skills
- SAP BusinessObjects
- Enterprise Architecture
- Hybris
- SAP HANA
- SAP
- TOGAF
- Solution Architecture
- Cloud Architecture
- SAP BW 4HANA
- Salesforce
- SAP S/4HANA
- SAP ERP
