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Contract TypeFull-time
Workplace typeOn-site
LocationSaudi Arabia

Job Description

About the Role

Master-Works is seeking an AI Solutions Consultant to bridge enterprise business requirements with modern AI capabilities. This full-time role focuses on identifying, qualifying, and architecting high-impact AI use cases across various business units. The consultant will drive technical implementation using Azure AI infrastructure, Microsoft Foundry, and Copilot Studio, designing secure and scalable architectures that integrate cloud AI models with on-premises enterprise data assets.

Key Responsibilities

  • Partner with cross-functional stakeholders to discover, evaluate, and prioritize enterprise AI use cases aligned with business outcomes.
  • Design and implement end-to-end conversational and autonomous AI agents using Microsoft Foundry, Foundry Agent Service, and Microsoft Copilot Studio.
  • Configure Azure AI model inference, orchestrating appropriate models (frontier LLMs, SLMs, domain-specific models) within enterprise cost and performance boundaries.
  • Manage Azure subscription resources, implementing cost governance, capacity planning, and Pay-As-You-Go (PAYG) versus provisioned throughput allocation.
  • Build enterprise system integrations utilizing Microsoft Power Platform custom and pre-built connectors.
  • Architect and secure hybrid connectivity between cloud AI services and local data sources using On-Premises Data Gateways.
  • Define responsible AI guardrails, content filtering, prompt engineering standards, and role-based access control (RBAC).

Experience and Qualifications

Candidates for this role should possess 5-10 years of relevant experience in AI solutions and related technologies. The position requires a strong understanding of enterprise business requirements and modern AI capabilities, particularly within the Microsoft ecosystem.

Technical Skills

  • Proficiency with Azure AI infrastructure, Microsoft Foundry, and Copilot Studio.
  • Experience with Azure AI model inference and orchestration of various LLMs and SLMs.
  • Knowledge of Azure subscription resource management, cost governance, and capacity planning.
  • Ability to build enterprise system integrations using Microsoft Power Platform.
  • Familiarity with securing hybrid connectivity between cloud AI services and on-premises data sources.
  • Understanding of responsible AI principles, content filtering, prompt engineering, and RBAC.

Work Type

This is a full-time position.

Application Process

Further details regarding the application process will be provided upon inquiry. The salary for this position is not disclosed.


Requirements

  • Requires 5-10 Years experience

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