Senior AI Engineer: Enterprise LLM & Azure AI Lead

Sundus Gulf; Abu Dhabi; On-site; AED 650,000 - 980,000; Full time

Job summary

Sundus Gulf is seeking a Senior AI Engineer to design, develop, and deploy production-ready AI/LLM solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Power Platform. You will lead end-to-end AI projects, coordinating with vendors and integrators to ensure timely delivery within budget.

The ideal candidate holds 6+ years in software/ML/AI engineering, with hands-on LLM deployment experience and strong Microsoft AI stack skills.

Qualifications

• 6+ years in software engineering, data engineering, or ML/AI engineering.
• Hands-on experience deploying LLM-based applications.
• Production delivery experience in enterprise environments.
• Strong Microsoft AI stack expertise (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform).
• Experience in regulated industries is highly desirable.

Responsibilities

• Design, develop, and deploy production-ready AI and LLM-based solutions.
• Lead end-to-end AI and digital projects with timely, budget-conscious delivery.
• Manage and evaluate technology vendors and system integrators from RFP to delivery.
• Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions.
• Ensure AI solutions meet enterprise standards for quality, scalability, security, and performance.

Skills

AI/ML engineering

LLM apps

Azure AI

Project management

Vendor management

Enterprise systems

Regulated industries

Education

Bachelor's/Master's

Tools

Azure OpenAI

Copilot Studio

Power Platform

Azure AI Foundry

Job description

Sundus Gulf is seeking a Senior AI Engineer to design, develop, and deploy production-ready AI/LLM solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Power Platform. You will lead end-to-end AI projects, coordinating with vendors and integrators to ensure timely delivery within budget.

The ideal candidate holds 6+ years in software/ML/AI engineering, with hands-on LLM deployment experience and strong Microsoft AI stack skills.