Senior AI Engineer Agentic AI Azure Solutions

Efforts Solutions IT LLC; Abu Dhabi; Remote; AED 240,000 - 360,000; Full time

Job summary

Efforts Solutions IT seeks a Senior AI Engineer to shape the Azure-based platform hosting AI agents, apps, and data pipelines. You will automate provisioning, enforce gated releases, and own networking and security across a hub-spoke landing zone.

Candidate will design reusable deployment blueprints, implement CI/CD pipelines, and drive cost controls while advancing production-grade AI workloads on Azure.

Qualifications

• 6+ years in DevOps / platform engineering, including 3+ years on Azure in production.
• Experience conducting Azure infrastructure, pipeline and access reviews.
• Expert Azure DevOps: multi-stage YAML pipelines, templates, environments, service connections, branch policies and approval gates.
• Strong Terraform and Bicep, including reusable module design, state management and policy-as-code.
• Experience building reusable deployment blueprints for applications and AI workloads.
• Azure networking and security: hub-spoke, private endpoints, VNet integration, Entra ID, RBAC, KeyVault.
• Application deployment on App Service, Functions, Logic Apps Standard and containers.
• Scripting in PowerShell, Bash and Azure CLI.
• Monitoring with Azure Monitor, Log Analytics (KQL) and Application Insights, with operational runbooks.

Responsibilities

• Build and maintain infrastructure as code in Terraform and Bicep: modules, remote state and policy.
• Manage the environment model (dev, UAT, production and ephem… staging).
• Create reusable deployment blueprints for App Service, Functions, Logic Apps, AI services, databases and storage.
• Build multi-stage Azure DevOps YAML pipelines with templates, environments and approval gates.
• Enforce branch policies and PR review so no change reaches production unreviewed.
• Deploy and operate web applications and APIs on App Service, Functions and Container Apps.
• Own networking and access: private endpoints and DNS, RBAC least privilege, managed identities, Key Vault and scoped partner access.
• Set up monitoring, alerting and cost controls with Azure Monitor, Log Analytics and tagging.
• Review current Azure infrastructure, pipelines, networking and access.
• Bring environments under infrastructure as code (Terraform / Bicep).
• Automate build and deployment of applications and AI agents through Azure DevOps.
• Establish security, monitoring and cost-control baselines.

Tools

Azure DevOps

Terraform

Bicep

App Service

Functions

Logic Apps

Container Apps

Key Vault

Azure Monitor

PowerShell/Azure CLI

Job description

Job Description:

Senior AI Engineer – Agentic AI Solutions | Microsoft Azure

Company: Efforts Solutions IT
Job Location: Remote Initially | Abu Dhabi, UAE (Potential Onsite Relocation)
Experience: 6+ Years (Including 2+ Years in Production AI/LLM Solutions)
Reporting To: AI & Data Manager

About the role

Our Data & AI platform runs on Azure in a hub-spoke landing zone with private networking. It hosts AI agents, web applications and data pipelines, some delivered by external partners. You will own how the platform is provisioned, secured and deployed, moving manual releases to automated, approval-gated delivery.

Key responsibilities

1 Build and maintain infrastructure as code in Terraform and Bicep: modules, remote state and policy.

2 Manage the environment model (dev, UAT, production and ephem… staging).

3 Create reusable deployment blueprints for App Service, Functions, Logic Apps, AI services, databases and storage.

4 Build multi-stage Azure DevOps YAML pipelines with templates, environments and approval gates.

5 Enforce branch policies and PR review so no change reaches production unreviewed.

6 Deploy and operate web applications and APIs on App Service, Functions and Container Apps.

7 Own networking and access: private endpoints and DNS, RBAC least privilege, managed identities, Key Vault and scoped partner access.

8 Set up monitoring, alerting and cost controls with Azure Monitor, Log Analytics and tagging.

Work scope

• Review current Azure infrastructure, pipelines, networking and access.
• Bring environments under infrastructure as code (Terraform / Bicep).
• Automate build and deployment of applications and AI agents through Azure DevOps.
• Establish security, monitoring and cost-control baselines.

Required qualifications

• 6+ years in DevOps / platform engineering, including 3+ years on Azure in production.
• Experience conducting Azure infrastructure, pipeline and access reviews.
• Expert Azure DevOps: multi-stage YAML pipelines, templates, environments, service connections, branch policies and approval gates.
• Strong Terraform and Bicep, including reusable module design, state management and policy-as-code.
• Experience building reusable deployment blueprints for applications and AI workloads.
• Azure networking and security: hub-spoke, private endpoints, VNet integration, Entra ID, RBAC, KeyVault.
• Application deployment on App Service, Functions, Logic Apps Standard and containers.
• Scripting in PowerShell, Bash and Azure CLI.
• Monitoring with Azure Monitor, Log Analytics (KQL) and Application Insights, with operational runbooks.

Preferred

• Deploying AI workloads (Azure AI Foundry, Azure OpenAI, AI Search) and Databricks automation.
• AZ-400 or AZ-305 certification.

Tools

Azure DevOps Terraform Bicep Azure Policy App Service Functions Logic Apps Container Apps

Key Vault Entra ID Azure Monitor PowerShell / Bash / Azure CLI