Azure AI Platform Ops Engineer — Scale GenAI Workloads

Datamatics Global Service

Saudi Arabia

On-site

SAR 240,000 - 360,000

Full time

4 days ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Datamatics Global Service in Saudi Arabia seeks an AI Platform Operations Engineer to manage and govern enterprise AI platforms on Microsoft Azure, ensuring secure, scalable onboarding and operation of Generative AI workloads.

You will optimize platform services (Azure AI Foundry, Azure OpenAI), implement guardrails, monitor health, and coordinate with Microsoft, Client IT, CIS, and Data & AI teams to keep deployments compliant and performant.

Qualifications

  • Hands-on Azure administration for production cloud environments.
  • Deep knowledge of Azure AI Foundry / Azure OpenAI workloads.
  • Experience with APIM exposure patterns and governance gates.
  • Understanding of Generative AI, LLMs, and guardrails.
  • Experience with observability, monitoring, and cost attribution.

Responsibilities

  • Operate Azure AI platform services and related platform-level services.
  • Support onboarding of GenAI workloads using landing-zone patterns.
  • Assist AI gateway/APIM exposure and production readiness checks.
  • Ensure on-boarding with guardrails, safety controls, and governance.</n
  • Monitor AI workloads with dashboards, alerts, and health indicators.
  • Coordinate with Microsoft, Client IT, CIS, and teams for incidents and risks.
  • Maintain onboarding checklists, runbooks, and knowledge transfer materials.
  • Track incidents, onboarding issues, and dependencies across teams.
  • Support data products, event streams, and operational data stores where applicable.

Skills

Azure admin
Azure AI Foundry
APIM exposure
GenAI concepts
Observability
RBAC security
Cost governance

Tools

Azure Monitor
Log Analytics
Application Insights
Cosmos DB
ADLS Gen2
Azure Cost Management

Job description

Datamatics Global Service in Saudi Arabia seeks an AI Platform Operations Engineer to manage and govern enterprise AI platforms on Microsoft Azure, ensuring secure, scalable onboarding and operation of Generative AI workloads.

You will optimize platform services (Azure AI Foundry, Azure OpenAI), implement guardrails, monitor health, and coordinate with Microsoft, Client IT, CIS, and Data & AI teams to keep deployments compliant and performant.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Azure AI Platform Ops & Governance Engineer
Azure AI Platform Ops & Governance Engineer

Datamatics Technologies LLC • Riyadh

On-site
SAR 180,000 - 280,000
Azure AI Platform Operations Lead
Azure AI Platform Operations Lead

Datamatics Technologies • Riyadh

On-site
SAR 180,000 - 360,000
AI Platform Operations Engineer
AI Platform Operations Engineer

Datamatics Global Service • Saudi Arabia

On-site
SAR 240,000 - 360,000
AI Platform Operations Engineer
AI Platform Operations Engineer

Datamatics Technologies LLC • Riyadh

On-site
SAR 180,000 - 280,000
AI Platform Operations Engineer
AI Platform Operations Engineer

Datamatics Technologies • Riyadh

On-site
SAR 180,000 - 360,000
Senior AI Systems Engineer & Platform Lead
Senior AI Systems Engineer & Platform Lead

Saudi Azm عزم السعودية • Riyadh

On-site
SAR 260,000 - 460,000
Public Sector AI Engineering Manager
Public Sector AI Engineering Manager

Scale AI • Riyadh

On-site
SAR 299,000 - 450,000
Platform Engineer — High-Scale, AI-Native Systems
Platform Engineer — High-Scale, AI-Native Systems

Lucidya • Riyadh

On-site
SAR 224,000 - 300,000
Senior Network Engineer: AI-Driven Infra & Enterprise Ops Lead
Senior Network Engineer: AI-Driven Infra & Enterprise Ops Lead

Datamatics Technologies • Riyadh Region

On-site
SAR 350,000 - 650,000
Enterprise AI Platform & Architecture Strategy Lead
Enterprise AI Platform & Architecture Strategy Lead

Accenture Middle East • Saudi Arabia

On-site
SAR 450,000 - 750,000