Senior AI Platform Architect for Fintech Scale

mexdigital

Dubai

On-site

AED 420,000 - 640,000

Full time

14 days+
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Benefits offered by this job

Performance-based incentives

Job summary

MultiBank Group in Dubai seeks a Senior AI Architect to design, build, and scale the AI and data platform powering its AI products. This founding technical role requires deep data engineering, software engineering, and cloud architecture expertise, including production-grade ML pipelines and secure, enterprise-ready systems.

The candidate will own the data lakehouse on AWS, feature store implementations, and the MLOps stack, while guiding engineering standards and mentoring teams across product

Qualifications

  • 15+ years of experience across data engineering, software engineering, and AI/ML systems.
  • Proven record of shipping production AI systems end-to-end.
  • Hands-on data engineering with production data pipelines, data lakehouses, and feature stores.
  • Expert-level AWS skills across multi-service architecture design; GCP or Azure familiarity is beneficial.
  • Strong software engineering discipline with production-quality Python and SQL.
  • Experience in high-growth product companies, scale-ups, or enterprise AI teams where significant technical decisions were owned.
  • Security-conscious approach embedding data privacy and compliance into architecture.
  • Strong written and verbal communication with the ability to present to senior leadership.
  • Experience leading or significantly contributing to technical team building and engineering standards.
  • Fintech experience is preferred.

Responsibilities

  • Design and build the end-to-end AI platform architecture, covering data ingestion, feature engineering, model training, serving, monitoring, and retraining as a coherent, maintainable production system.
  • Design the data lakehouse architecture on AWS using Delta Lake or Apache Iceberg with Databricks as the primary compute layer, and build batch and streaming data pipelines using PySpark, AWS Glue, and Kafka.
  • Architect and implement a feature store with online and offline stores, point‑in‑time joins, and feature versioning.
  • Own cloud infrastructure architecture for all AI and data workloads on AWS, including multi‑account strategy, EKS cluster design, GPU compute, storage, and cost governance.
  • Build and own the MLOps platform covering experiment tracking, training pipeline automation, model packaging and deployment standards, CI/CD for ML, and model monitoring with drift detection.
  • Design the AI services layer, including reusable inference APIs, model serving infrastructure, and API gateway configuration with authentication, rate limiting, and cost attribution.
  • Integrate AI capabilities into the organization's products and business systems using event‑driven and API‑based patterns.
  • Embed security and compliance into every layer of the AI platform, including network security, IAM, PII handling, secrets management, and audit logging.
  • Act as the senior technical authority for the AI Initiative, setting engineering standards, mentoring engineers, and leading technical decisions.
  • Produce and maintain architecture documentation including C4 diagrams, Architecture Decision Records, and system integration maps.

Skills

Python
SQL
Scala
PySpark
AWS
Kubernetes
FastAPI
Data Lakehouse
Feature Store
ML Systems

Tools

Databricks
Kafka
Airflow
dbt
SageMaker
Delta Lake
Iceberg
S3

Job description

MultiBank Group in Dubai seeks a Senior AI Architect to design, build, and scale the AI and data platform powering its AI products. This founding technical role requires deep data engineering, software engineering, and cloud architecture expertise, including production-grade ML pipelines and secure, enterprise-ready systems.

The candidate will own the data lakehouse on AWS, feature store implementations, and the MLOps stack, while guiding engineering standards and mentoring teams across product

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