AI Platform & Cloud Engineer

Lifecare International; Dubai; On-site; AED 250,000 - 450,000; Full time

Job summary

Lifecare International is seeking an experienced AI Platform Engineer to design, implement, and govern a scalable Azure-based AI solution. You will build and integrate AI agents with Odoo and M365, implement RAG pipelines, and manage data pipelines and API connections feeding live business data into the AI layer.

The role requires hands-on Azure OpenAI, Copilot Studio, and Python expertise, with a focus on ROI-driven AI use cases, on-premise/hybrid environments, and robust DR/BCP planning.

Qualifications

• 3–5 years in platform or AI/ML engineering, with at least 2 years building LLM-based applications or AI agents.
• Hands-on Azure OpenAI / AI Foundry experience — tool calling, agentic design, prompt engineering
• Microsoft Copilot Studio or equivalent agent platform experience
• Strong Python skills — API integration, backend services (FastAPI or equivalent), scripting and automation
• RAG pipeline experience — Azure AI Search, vector embeddings, document chunking and retrieval
• REST API integration with ERP or CRM platforms (Odoo, Dynamics, Salesforce or equivalent)
• Solid Azure platform experience — compute, networking, Entra ID, APIM, Monitor, Log Analytics
• Experience evaluating, prioritizing, and delivering AI use cases with measurable business outcomes and ROI.
• Hands‑on with on‑premise/hybrid environments — Windows Server, Active Directory, networking fundamentals
• DR/BCP design experience — backup and recovery, failover testing, RTO/RPO documentation
• Infrastructure-as-Code experience (Terraform, Bicep, or ARM templates)
• Understanding of AI governance and compliance — PII handling, audit logging, content filtering, UAE regulatory context (ADHICS, PDPL) is a plus
• M365 administration (Exchange, SharePoint, Teams) is an advantage

Responsibilities

• AI Platform & Integration: Design and develop AI agents using Azure AI Foundry and Copilot Studio, integrating Odoo, M365, and data sources to automate processes.
• Implement RAG capabilities over internal documents and knowledge bases for accurate AI responses.
• Build and maintain data pipelines and API integrations feeding current business data into the AI layer.
• Own the governed AI platform — security controls, usage monitoring, cost management as adoption scales.
• Support multi-department rollout — translate workflows into agent tools with business stakeholders.
• Monitor platform performance, usage patterns, and feedback to continuously improve reliability and response quality.
• Infrastructure, Systems & DR: Manage cloud infrastructure and provide hands-on support for on-premise/hybrid environments.
• Support core business applications (Odoo, M365) and act as escalation point for technical issues.
• Own DR and BCP plans — backup schedules, recovery testing, RTO/RPO targets, and documented failover.
• Enforce security controls across the environment — patching, vulnerability management, access reviews, incident response.
• Support capacity planning, infrastructure cost optimisation, and lifecycle management.

Job description

Key Responsibilities

AI Platform & Integration

Design and develop AI agents using Azure AI Foundry and Copilot Studio — integrating Odoo, M365, and business data sources to automate processes and expand AI adoption across departments

Implement RAG capabilities over internal documents and knowledge bases for accurate, grounded AI responses

Build and maintain data pipelines and API integrations that feed reliable, current business data into the AI layer

Own the governed AI platform (Azure AI Foundry, APIM) — security controls, usage monitoring, and cost management as adoption scales

Support multi-department rollout — working with business stakeholders to translate workflows and use cases into agent tools

Monitor platform performance, usage patterns, and feedback signals to continuously improve reliability and response quality

Infrastructure, Systems & DR

Manage cloud infrastructure (compute, networking, storage, Entra ID) and provide hands‑on support for on-premise and hybrid environments including servers, networking, and end‑user systems

Support core business applications (Odoo, M365) and act as escalation point for technical issues across the stack

Own DR and BCP plans — backup schedules, recovery testing, RTO/RPO targets, and documented failover procedures

Enforce security controls across the environment — patching, vulnerability management, access reviews, and incident response

Support capacity planning, infrastructure cost optimisation, and lifecycle management

Required Skills & Experience

3–5 years in platform or AI/ML engineering, with at least 2 years building LLM-based applications or AI agents

Hands‑on Azure OpenAI / AI Foundry experience — tool calling, agentic design, prompt engineering

Microsoft Copilot Studio or equivalent agent platform experience

Strong Python skills — API integration, backend services (FastAPI or equivalent), scripting and automation

RAG pipeline experience — Azure AI Search, vector embeddings, document chunking and retrieval

REST API integration with ERP or CRM platforms (Odoo, Dynamics, Salesforce or equivalent)

Solid Azure platform experience — compute, networking, Entra ID, APIM, Monitor, Log Analytics

Experience evaluating, prioritizing, and delivering AI use cases with measurable business outcomes and ROI.

Hands‑on with on‑premise/hybrid environments — Windows Server, Active Directory, networking fundamentals

DR/BCP design experience — backup and recovery, failover testing, RTO/RPO documentation

Infrastructure-as-Code experience (Terraform, Bicep, or ARM templates)

Understanding of AI governance and compliance — PII handling, audit logging, content filtering, UAE regulatory context (ADHICS, PDPL) is a plus

M365 administration (Exchange, SharePoint, Teams) is an advantage

Personal Attributes

Comfortable across a wide remit in a small team — can context‑switch between AI development and infrastructure support without losing quality

Self‑directed and proactive — identifies gaps and acts without waiting to be asked

Clear communicator — able to translate technical concepts for business stakeholders

Preferred Certifications

Azure AI Apps and Agents Developer Associate (AI-103)

Copilot Studio Applied Skills (Advantage)