Senior AI Cloud Architect: Azure, Secure & Scalable

EPAM Systems

United Arab Emirates

Hybrid

AED 360,000 - 600,000

Full time

14 days+

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

EPAM Systems in the United Arab Emirates is seeking a Senior AI Cloud Architect to design and govern cloud architecture for an enterprise AI-driven solution, focusing on Azure services and OpenAI adoption. The role requires collaboration with AI, data, security and infrastructure teams to meet cybersecurity, data governance, and regulatory needs.

The candidate will own architecture across app, data, integration and security layers, and will drive non-functional requirements, deployment

Qualifications

Extensive experience architecting enterprise-scale solutions on Microsoft Azure.
Bachelor’s or Master’s degree in CS, IS or related field.
Deep understanding of Azure networking, IAM, security, governance and monitoring.
Proven ability to design cloud-native apps and enterprise integration architectures.
Familiarity with Azure OpenAI, Azure AI services or AI Foundry.
Strong knowledge of databases, data platforms and APIs.
Experience in regulated or security-focused environments.
Arabic language proficiency is a plus.

Responsibilities

Own cloud and solution architecture design across application, data, integration, security and AI layers.
Define Azure-based architecture covering compute, storage, networking, databases and AI services.
Establish secure integration with enterprise data platforms and Azure OpenAI services.
Ensure compliance with cybersecurity, data governance, residency and AI governance standards.
Define principles, patterns, non-functional requirements and deployment standards for cloud solutions.
Collaborate with cross-functional teams including AI, DevOps, infrastructure and application engineering.
Review technical designs to maintain alignment with target architecture.
Address non-functional aspects such as scalability, performance, resilience, observability and cost optimization.
Support presales, architecture presentations, technical estimates and solution workshops.
Identify risks, dependencies and constraints related to quotas, connectivity and AI service usage.