AI Specialist – Technical wanted at a leading AI consultant ompany in Dubai, UAE to support the deployment, testing, monitoring, and documentation of Artificial Intelligence (AI) technologies and enterprise AI tools used across major infrastructure and technology initiatives.
The role is ideal for someone interested in AI technology, machine learning, software systems, automation, cloud technology, data analytics, AI governance, and enterprise digital transformation. The successful candidate will work closely with internal teams and technology stakeholders to identify technical issues, evaluate AI products, monitor system performance, and prepare clear technical information for clients and decision-makers.
This position offers an opportunity to gain practical exposure to AI software, generative AI, machine learning applications, enterprise technology platforms, AI governance, technology risk, and digital transformation.
Key Responsibilities – AI
- Monitor and resolve functional and technical issues within AI tools, AI software, and technology platforms deployed across major infrastructure and technology mandates.
- Troubleshoot AI applications and investigate technical issues using a structured and logical problem-solving approach.
- Prepare clear, accurate, and user-friendly technical documentation covering AI product features, system updates, functionality, limitations, and implementation requirements.
- Conduct targeted research and analysis of AI products, artificial intelligence technologies, machine learning platforms, generative AI tools, and enterprise software solutions.
- Research AI product benchmarks, technology performance indicators, vendor capabilities, and software functionality to support informed vendor and technology evaluations.
- Document and track technical friction points that may affect the client operating model, technology adoption, workflow automation, or system performance.
- Collaborate with internal technology, governance, risk, operations, and client-facing teams to ensure technical recommendations comply with the broader governance framework.
- Test new AI features, software releases, automation capabilities, and product updates before deployment to the client portfolio.
- Conduct functional testing and identify software bugs, usability issues, performance concerns, and potential integration problems.
- Maintain detailed records of AI system performance, technical incidents, software issues, testing results, and product updates.
- Monitor system logs and report unusual activity, performance anomalies, errors, or recurring technical problems to relevant stakeholders.
- Assist in evaluating the reliability, usability, scalability, and performance of AI-powered software and enterprise technology solutions.
- Support the preparation of technical briefings, presentations, reports, and client meeting materials, ensuring information is factual, concise, and easy to understand.
- Translate complex AI and technology concepts into plain English for non-technical stakeholders.
- Support research related to AI governance, responsible AI, data privacy, cybersecurity, automation, cloud computing, and emerging technologies.
- Maintain awareness of developments in Artificial Intelligence, Generative AI, Large Language Models (LLMs), Machine Learning, AI automation, AI agents, and enterprise AI applications.
- Assist with the identification of opportunities where AI and automation can improve operational efficiency, technology performance, and business processes.
Key Areas
The role may involve exposure to:
- Artificial Intelligence (AI)
- Generative AI
- Machine Learning (ML)
- Large Language Models (LLMs)
- AI Automation
- AI Agents
- Enterprise AI
- AI Software
- AI Platforms
- AI Governance
- Responsible AI
- AI Risk Management
- Technology Risk
- Data Analytics
- Big Data
- Cloud Computing
- Software Support
- Enterprise Software
- Digital Transformation
- Business Automation
- Cybersecurity
- Data Privacy
- Technology Benchmarking
- Software Testing
- System Monitoring
- Technical Documentation
- Technology Vendor Evaluation
Job Qualifications
- Strong curiosity about how Artificial Intelligence and emerging technologies interact with corporate governance, business strategy, operations, and technology management.
- Excellent written communication skills with the ability to explain complex AI and technical concepts in clear, simple English.
- Strong analytical and logical thinking skills with a methodical approach to troubleshooting technical and software-related problems.
- Basic knowledge of Artificial Intelligence, Machine Learning, Generative AI, software systems, data analytics, or technology platforms.
- Familiarity with AI tools, software support, programming concepts, university technology projects, internships, or personal AI projects will be an advantage.
- Strong attention to detail when reviewing technical documentation, system logs, software outputs, testing results, and AI product information.
- Ability to conduct structured technology research and compare AI products based on functionality, performance, usability, and vendor capabilities.
- Good understanding of basic data, software, cloud technology, automation, and digital transformation concepts.
- Ability to work independently in a remote or technology-driven environment while maintaining productivity and meeting deadlines.
- Strong organizational and time-management skills.
- Ability to communicate technical findings clearly with technical and non-technical stakeholders.
- A proactive learning mindset and willingness to keep up with rapidly evolving AI technologies and enterprise software trends.
Educational – AI
A degree or diploma in any of the following areas is preferred:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Information Technology
- Data Science
- Software Engineering
- Computer Engineering
- Information Systems
- Business Analytics
- Technology Management
- Engineering
- Mathematics or a related technical discipline
Candidates with relevant AI projects, software internships, technology support experience, data analytics projects, or practical experience using AI tools may also be considered.
Desirable Skills
Knowledge or exposure to the following will be an advantage:
Artificial Intelligence | Generative AI | Machine Learning | LLMs | AI Automation | AI Agents | Data Analytics | Cloud Computing | Cybersecurity | Software Testing | Technical Support | Enterprise Software | AI Governance | Data Privacy | Digital Transformation | Technology Risk | System Monitoring