Artificial Intelligence Engineer

We are reaching out with an exciting permanent opportunity for an Artificial Intelligence Engineer to join our client's team in Dubai within the oil and gas sector. In this role, you will sit within the Enterprise Applications Team, driving the design, development, implementation, integration, and support of AI solutions across our client's systems and applications. This is a high-impact position where your work will directly shape how our client leverages AI and intelligent automation across the business.

Key Responsibilities:

• Develop and support intelligent automation and Artificial Intelligence driven solutions, including Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Document Intelligence, Optical Character Recognition (OCR), and Intelligent Document Processing (IDP). Identify new AI and automation opportunities with business users, gather and analyze business requirements, and coordinate implementation, enhancements, issue resolution, deployment, and ongoing solution optimization.
• Develop and integrate AI capabilities with in-house and third-party business applications, ensuring reliable and secure integration with enterprise systems, APIs, databases, and organizational data sources, as well as prepare appropriate technical and user documentation and support user adoption and knowledge transfer.
• Provide day-to-day administration, monitoring, and technical support for AI platforms and solutions, including troubleshooting, performance monitoring, issue resolution, configuration, and continuous optimization.
• Manage AI platforms, services, models, and related licensing and deployment activities, including access requirements and coordination with technology vendors to ensure AI solutions are properly supported, maintained, secured, and available to business users.
• Conduct functional, integration, performance, and security testing of AI solutions and facilitate User Acceptance Testing (UAT), including evaluation of AI-generated outputs to ensure solutions meet defined business and quality requirements.
• Adhere to all internal Company and IT policies and procedures, including Information Technology Infrastructure Library (ITIL) Change, Incident and Problem Management processes, Company Project Management processes, information security requirements, data privacy, and Responsible AI principles.
• Maintain technical knowledge and awareness of developments in Artificial Intelligence, Generative AI, Machine Learning, and related technologies, evaluating relevant emerging capabilities and opportunities to ensure the Company realizes maximum business value from its AI investments.