Job Overview
ARCHITECT
AI-POWERED BANKING & FINANCIAL DATA INFRASTRUCTURE
Location: United Arab Emirates — Remote / GCC-Wide Collaboration
Seniority Level: Principal / Enterprise Technology Leadership
Employment Type: Full-time, Permanent
Industry Focus: Fintech, Artificial Intelligence, Cloud Banking, Data Engineering, Financial Technology
WHERE BANKING INFRASTRUCTURE MEETS ARTIFICIAL INTELLIGENCE
We are looking for an elite Architect capable of designing the technological foundations behind intelligent financial platforms.
The next generation of banking will depend on systems that can process enormous quantities of information in real time, support AI-driven decisions, integrate multiple financial services, and remain highly resilient under continuous demand.
This position sits at the intersection of cloud architecture, financial data, distributed computing, AI infrastructure, real-time analytics, and digital banking.
YOUR ARCHITECTURAL MISSION
You will:
- Design enterprise architecture for AI-enabled financial platforms.
- Develop scalable data architectures supporting banking and payment workloads.
- Design real-time data pipelines for transactional and behavioral intelligence.
- Establish cloud-native infrastructure for machine-learning applications.
- Develop architectures connecting financial systems, APIs, data platforms, and AI services.
- Establish high-availability and disaster-recovery frameworks.
- Design event-driven architectures for real-time financial processing.
- Develop standards for APIs, microservices, databases, data pipelines, and observability.
- Collaborate with data scientists to productionize machine-learning solutions.
- Establish architecture principles for secure financial-data processing.
- Identify performance bottlenecks and scalability limitations.
- Lead technology-modernization programs.
- Mentor senior engineers and technical leads.
TECHNOLOGY ENVIRONMENT
Cloud Computing | Kubernetes | Microservices | APIs | Data Lakes | Data Warehouses | Event Streaming | Machine Learning | MLOps | Distributed Systems | Infrastructure as Code | Real-Time Analytics | Observability
THE ARCHITECTURAL CHALLENGE
You will be expected to solve problems such as:
How can financial data be processed in real time at enormous scale?
How can AI workloads operate alongside mission-critical transaction systems?
How can fragmented financial data become a coherent intelligence layer?
How can the architecture remain secure while becoming increasingly connected?
How can infrastructure scale without creating unsustainable complexity or cost?
IDEAL PROFILE
- 9+ years in enterprise architecture, fintech engineering, cloud architecture, data engineering, or banking technology.
- Advanced experience designing distributed and mission-critical systems.
- Strong understanding of cloud-native architecture.
- Excellent knowledge of APIs, databases, data platforms, and event-driven systems.
- Practical understanding of AI/ML infrastructure.
- Strong security and resilience awareness.
- Exceptional technical documentation and communication skills.
WHAT YOU WILL CREATE
Not simply another banking platform.
You will help establish an intelligent financial infrastructure layer capable of supporting faster decisions, better customer experiences, more sophisticated analytics, and continuous digital innovation.
Compensation: Premium principal-level package reflecting technical depth, architecture complexity, and leadership responsibility.
Don’t miss the chance to make a difference in the fintech and FX industry!
Apply now by clicking on the “Apply Now” button below.
Let’s shape the future of finance together!
#EmploySolutionJobs #FXCareers.
