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AI & GenAI Project Lead UAE

Job in Abu Dhabi, Abu Dhabi Emirate, UAE/Dubai
Listing for: CNS Middle East
Full Time position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 600000 - 1200000 AED Yearly AED 600000.00 1200000.00 YEAR
Job Description & How to Apply Below
Position: AI & GenAI Project Lead | CNS Middle East | UAE
Position Summary

Driving advanced artificial intelligence initiatives, generative AI projects, and enterprise digital transformation in Abu Dhabi, UAE, CNS Middle East is actively seeking an accomplished AI & GenAI Project Lead for a permanent full-time professional engagement. In this vital strategic leadership role, you will drive enterprise AI initiatives from planning to production, leveraging strong expertise in Large Language Model (LLM) applications and end‑to‑end project delivery.

Bringing a rigorously enforced mathematical and artificial intelligence academic background alongside progressive professional experience, you will empower global enterprise operations to achieve uncompromised operational efficiency, intelligent automation, and scalable innovation. This prestigious career opportunity offers competitive remuneration, high executive visibility, and professional growth within a premier regional technology solutions and digital systems integration enterprise.

Detailed

Job Description

As an AI & GenAI Project Lead supporting CNS Middle East in Abu Dhabi, UAE, you will take full operational, tactical, and technical ownership of generative AI project life cycles, Azure AI ecosystem integration, project budgeting, timelines, RFPs, and vendor management.

Your day-to-day responsibilities include building and deploying LLM applications, orchestrating Azure OpenAI and Copilot Studio implementations, managing stakeholder alignment, and ensuring strict compliance with enterprise standards.

You will operate in a collaborative enterprise R&D environment while partnering directly with global engineering squads, client stakeholders, and senior talent acquisition specialists like Syed Naveed.

Key Responsibilities
  • Drive enterprise‑grade artificial intelligence and Generative AI initiatives through complete life cycles from initial planning to production deployment.
  • Architect, develop, and deploy robust Large Language Model (LLM) applications and cognitive services across enterprise workflows.
  • Administer and configure advanced cloud AI tooling including Azure AI Foundry, Azure OpenAI, Copilot Studio, and Power Platform.
  • Oversee comprehensive AI project delivery, resource allocation, financial budgeting, milestone tracking, and schedule adherence.
  • Manage Request for Proposals (RFPs), vendor evaluations, contract negotiations, and third‑party technology partnerships.
  • Collaborate seamlessly with software engineers, data scientists, product managers, and executive leadership during development cycles.
  • Establish rigorous governance frameworks, model evaluation metrics, security protocols, and compliance standards for AI deployments.
  • Maintain meticulous project documentation, architectural blueprints, risk registers, and technical delivery reports.
Required Qualifications & Skills
  • Mandatory Bachelor’s degree in Mathematics and a Master’s degree in Artificial Intelligence, Machine Learning, Data Science, Probability, or a closely related quantitative field (strictly enforced requirement).
  • Minimum of 6+ years of progressive professional experience in Software Engineering, Data Engineering, or Machine Learning Engineering.
  • Minimum of 2+ years of dedicated, hands‑on professional expertise building and deploying production‑grade LLM applications.
  • Strong, demonstrable operational expertise working extensively with Azure AI Foundry, Azure OpenAI, Copilot Studio, and Power Platform.
  • Comprehensive working knowledge and practical proficiency in AI project delivery, financial budgeting, timeline management, and vendor oversight.
  • Deep practical experience writing Requests for Proposals (RFPs) and evaluating technical vendor proposals.
  • Exceptional analytical problem‑solving aptitude, technical documentation skills, and…
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