Cloud AI Platform Engineer - AI Ops & Infra

Confidential Company; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

Cloud AI Services in the United Arab Emirates seeks a senior cloud AI professional with hands-on experience across Azure AI Services (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Speech, Document Intelligence) and AWS Bedrock. You will drive production deployments, manage AKS and container lifecycles, and implement API management, observability, and robust DevOps automation.

Analytical tasks include cost and performance tuning, prompt engineering, and governance with responsible-AI

Qualifications

• Hands-on production experience with Microsoft Azure AI Services including Azure OpenAI, Azure AI Foundry-related services, Azure AI Search, Azure Speech, Document Intelligence, and Content Safety and equivalent fluency with AWS AI Services, including AWS Bedrock and supporting model and content services.
• Familiarity with Core42 Compass for in-region inference is required.
• Strong working knowledge of Microsoft Agent Framework and LangGraph, including agent orchestration, tool calling, skill composition, memory and state management, planning patterns, multi-agent execution topologies, and human-in-the-loop checkpoints.
• Practical expertise in prompt-level troubleshooting, token consumption analysis, context-window management, model configuration tuning, endpoint health monitoring, and throttling and latency analysis.
• Deep operational experience with Azure Kubernetes Service, including Kubernetes core constructs, Helm release management, autoscaling behaviour, container troubleshooting, and Docker image lifecycle.
• Strong expertise in Azure API Management, including policy, values, products, subscriptions, OAuth 2.0, JWT validation, and backend routing.
• Expertise in Comet Opik for distributed agent tracing, and Azure Monitor, Application Insights, Log Analytics, and AWS CloudWatch integration.
• Comfort with Git-based workflows, CI/CD pipelines (GitLab CI/CD or Azure DevOps), infrastructure as code (Terraform or Bicep), and scripting in Python, PowerShell, Bash.
• Working experience with ElevenLabs APIs and SDKs, voice-agent integrations, and real-time processing.
• Hands-on with Microsoft Entra ID, RBAC, Azure Key Vault, private networking, and AI governance frameworks.

Responsibilities

• Lead deployment of Azure AI and AWS AI services in production environments.
• Manage Kubernetes-based deployments, container lifecycles, and platform networking.
• Oversee DevOps automation, CI/CD pipelines, and IaC practices for scalable services.
• Ensure security, governance, data protection, and responsible-AI policy enforcement across platforms.

Skills

Azure AI Services

Azure OpenAI

AWS Bedrock

Kubernetes

Containers

DevOps

Python scripting

Security governance

Observability

REST APIs

Education

Tools

Azure Kubernetes Service

Docker

Terraform

Bicep

kubectl

GitLab CI/CD

Azure DevOps

Job description

Cloud AI Services in the United Arab Emirates seeks a senior cloud AI professional with hands-on experience across Azure AI Services (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Speech, Document Intelligence) and AWS Bedrock. You will drive production deployments, manage AKS and container lifecycles, and implement API management, observability, and robust DevOps automation.

Analytical tasks include cost and performance tuning, prompt engineering, and governance with responsible-AI