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Senior AI Cloud Architect

EPAM Systems
Baladiyat ad Dawhah, QAT
Senior
Hybrid
Discovered 2 weeks ago
Microsoft AzureAI cloud architectureAzure networkingIdentity and access managementCloud security and governanceAzure OpenAI
Free

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Microsoft AzureAI cloud architectureAzure networking
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Role Overview

Senior AI Cloud Architect role based in Doha, Qatar with hybrid working mode.

Design and govern cloud architecture for an enterprise AI-driven solution supporting well test monitoring, anomaly detection, diagnostics, optimization recommendations, and knowledge management.

The architecture will use Microsoft Azure and integrate with enterprise data platforms and Azure OpenAI.

Responsibilities

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

Requirements

  • Extensive experience architecting enterprise-scale solutions on Microsoft Azure.
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • Deep understanding of Azure networking, IAM, security, governance, and monitoring.
  • Proven experience designing cloud-native applications and enterprise integration architectures.
  • Familiarity with Azure OpenAI, Azure AI services, or AI Foundry.
  • Strong expertise in relational databases, data platforms, APIs, and integration design.
  • Knowledge of scalable, highly available, and cost-efficient architecture practices.
  • Experience defining and enforcing architecture governance and non-functional requirements.
  • Excellent communication skills for technical and business stakeholder engagement.
  • Experience providing delivery support, technical estimates, and presales input.

Nice to Have

  • Experience implementing enterprise Agentic AI or RAG-based solutions.
  • Background in highly regulated or security-focused environments.
  • Knowledge of Microsoft Fabric as a future migration option.
  • Azure Solutions Architect Expert or Azure AI Engineer certification.
  • Familiarity with human-in-the-loop AI solutions or enterprise knowledge bases.
  • Industry experience in oil and gas, energy, or industrial sectors.
  • Arabic language proficiency.

Benefits

  • Private healthcare, life insurance, and end of service gratuity.
  • Annual air travel tickets for expatriates.
  • Employee referral rewards and corporate programs.
  • Learning and development through training, coaching, certifications, and courses.

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