AI-Driven Enterprise Architecture Lead

Confidential

Abu Dhabi

On-site

AED 900,000 - 1,300,000

Full time

2 days ago

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Job summary

Confidential in the United Arab Emirates is seeking an Enterprise Architecture Lead to shape the technology, data, and AI foundations of a new AI-enabled financial services organisation. You will own the enterprise landscape, define integration and AI architecture standards, and collaborate with Technology, Data & AI, and delivery partners to build a secure, scalable platform.

The ideal candidate has 10+ years in enterprise architecture within banking or financial services, with hands-on

Qualifications

10+ years in enterprise architecture in banking or financial services.
Hands-on leadership of a greenfield build or enterprise-scale transformation at estate level.
Experience architecting AI/ML and agentic systems in production with model deployment, orchestration, evaluation, and governance.
Designing integration architectures at bank scale—event-driven and API-based—holding multiple vendors to standards.
Cloud architecture with Azure preferred, including hybrid/private-cloud and data residency considerations.
Experience in a regulated environment: licensing, audits, model risk reviews, and operational resilience.
Ability to land complex technology decisions with executive stakeholders in demanding environments.
Ability to work in a fast paced startup environment and implement an enterprise tech roadmap.
Excellent stakeholder management and negotiation skills.

Responsibilities

Own and maintain technology landscape, including business capability models, application portfolios, platform maps, target-state architecture, and transition roadmaps.
Design the architecture that enables AI agents to operate as governed members of the organisation, including agent orchestration, non-human identity, permissioning, and human-in-the-loop supervision.
Architect the organisation's intelligence layer, including AI gateways, model registries, agent registries, evaluation frameworks, guardrails, and feedback mechanisms.
Define and govern enterprise integration architecture, including API standards, event-driven architecture, streaming platforms, schema governance, and agent-facing protocols such as MCP.
Build and maintain machine-readable enterprise architecture models that support automated governance, architecture conformance, and AI-assisted decision-making.
Develop reference architectures for resilience, disaster recovery, observability, identity management, auditability, and enterprise data movement.
Lead technology selection, architecture governance, vendor evaluations, and challenge system integrator designs to ensure alignment with enterprise standards.
Establish and enforce enterprise architecture standards across a complex multi-vendor ecosystem while managing deviations and remediation activities.
Support regulatory reviews, licensing activities, audits, operational resilience requirements, and AI governance initiatives through robust architectural controls and evidence-based documentation.