Enterprise AI Solutions Architect

Master Works

Makkah Region

On-site

SAR 150,000 - 210,000

Full time

9 days ago
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Job summary

Master Works is seeking an AI Solutions Consultant to bridge business requirements with AI capabilities. The role focuses on identifying high-impact AI use cases and driving technical implementation across Azure AI and Copilot Studio.

You will architect secure, scalable solutions, integrate cloud AI with on-prem data assets, and define guardrails and RBAC for responsible AI across business units.

Qualifications

  • Bachelor’s degree in a related field.
  • 8+ years of enterprise IT architecture or technical consulting experience.
  • At least 2 years dedicated to generative AI, NLP, and agentic workflows.
  • Hands-on experience with Microsoft Foundry / Azure AI Studio, Azure OpenAI Service, Copilot Studio.

Responsibilities

  • Partner with cross-functional stakeholders to discover, evaluate, and prioritize enterprise AI use cases tied to clear business outcomes.
  • Design and implement end-to-end conversational and autonomous AI agents using Foundry, Foundry Agent Service, and Copilot Studio.
  • Configure Azure AI model inference, orchestrating appropriate models within cost and performance boundaries.
  • Manage Azure subscription resources, implementing cost governance and capacity planning.
  • Build enterprise system integrations utilizing Power Platform connectors.
  • Architect and secure hybrid connectivity between cloud AI services and local data sources.

Skills

AI strategy
Enterprise IT architecture
Generative AI
Technical consulting

Education

Bachelor's degree in Computer Science / related field

Tools

Microsoft Foundry
Azure OpenAI Service
Copilot Studio
Power Platform

Job description

Master Works is seeking an AI Solutions Consultant to bridge business requirements with AI capabilities. The role focuses on identifying high-impact AI use cases and driving technical implementation across Azure AI and Copilot Studio.

You will architect secure, scalable solutions, integrate cloud AI with on-prem data assets, and define guardrails and RBAC for responsible AI across business units.

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