Your AI career in the UAE starts here

Job Purpose:We are looking for an AI Transformation & Execution Lead to accompany a telecom tower infrastructure company in defining, structuring, and implementing its global AI strategy.This role requires a hybrid profile: someone who understands business priorities, identifies high-impact AI opportunities, translates operational pain points into practical use cases, and drives execution with technical teams, business units, and leadership. The person will act as a bridge between executive strategy, operational realities, and AI implementation from brainstorming and use case discovery to roadmap definition, solution design, vendor coordination, and deployment follow-up. This is a hands-on transformation role, not a pure advisory or strategy position. The successful candidate will be expected to actively drive initiatives, coordinate implementation efforts, work closely with operational teams, and help move AI use cases from concept to deployment and adoption.Roles and Responsibilities1. AI Strategy & RoadmapSupport the company in defining its global AI vision and strategic priorities.Identify where AI can create measurable impact across TowerCo operations, finance, energy, field maintenance, asset management, customer/operator interfaces, and internal productivity.Structure AI initiatives into a clear roadmap: quick wins, medium-term projects, and strategic transformation programs.Help leadership prioritize use cases based on business value, feasibility, data availability, and operational readiness.2. Use Case Discovery & Business WorkshopsLead workshops with business, technical, finance, operations, and executive teams.Translate business pain points into concrete AI use cases.Challenge vague AI ideas and turn them into actionable, realistic initiatives.Help teams understand what AI can and cannot do, including risks, limitations, and required data foundations.Document use cases with clear objectives, expected benefits, required data, stakeholders, and implementation complexity.3. Solution Design & Execution SupportTranslate selected use cases into functional and technical requirements.Work with internal teams, vendors, and technology partners to design AI-powered solutions.Support the creation of prototypes, MVPs, pilots, and production deployment plans.Ensure AI solutions are aligned with real operational workflows, not just theoretical innovation.Follow up on execution, track progress, remove blockers, and ensure delivery remains connected to business objectives.4. AI Governance, Risk & AdoptionHelp define safe and responsible AI usage principles.Identify risks related to data privacy, hallucinations, automation, decision-making, and operational dependency.Support the creation of internal AI governance frameworks.Guide teams on human-in-the-loop workflows, validation processes, and progressive automation.Drive adoption by making AI understandable and usable for non-technical teams.5. Cross-Functional CoordinationAct as the link between executive leadership, business departments, IT, data teams, operations, finance, and external AI providers.Ensure all stakeholders are aligned on priorities, scope, expected outcomes, and timelines.Prepare executive presentations, strategy notes, workshop materials, implementation documents, and decision-support content.Support communication around AI transformation internally and externally.Required QualificationsEducationBachelor’s degree in Artificial Intelligence, Data Science, Information Technology, Engineering, Business Information Systems, or a related field.Master’s degree or relevant AI / Digital Transformation certifications is considered a strong advantage.Experience5-7+ years of professional experience across AI, technology strategy, digital transformation, product leadership, or telecom/infrastructure consulting.Minimum 4-5 years of hands-on experience with AI, data, automation, machine learning, or generative AI initiatives.Proven experience leading projects from discovery and business workshops to solution design, MVP/pilot execution, and production deployment follow-up.Experience working with C-level leaders and cross-functional teams in complex B2B or infrastructure environments.Prior exposure to telecom infrastructure, TowerCo, industrial operations, ERP/OSS environments, or field operations is considered a plus, but is not mandatory.Experience evaluating and coordinating AI vendors, platforms, system integrators, or technology partners is highly valuable.CompetenciesKey SkillsAI strategyGenerative AI and LLMsBusiness use case discoveryAI product designWorkshop facilitationOperational transformation and AI adoptionData and system integration awarenessExecutive communicationRoadmap planningAI governanceChange managementProject execution follow-upTechnicalStrong understanding of AI, generative AI, machine learning, automation, and data-driven decision-making.Ability to translate complex AI concepts into simple, business-friendly language.Ability to quickly understand operational environments and translate business problems into practical AI solutions.Strong business sense and ability to identify where AI can generate real ROI.Experience leading workshops, stakeholder interviews, and executive-level discussions.Hands-on and execution-oriented mindset with the ability to independently drive initiatives from idea to deployment.Ability to move from strategy to execution, not only provide high-level recommendations.Strong understanding of operational workflows, data requirements, system integration, and implementation constraints.Comfortable working with both technical teams and non-technical business leaders.Excellent communication, documentation, and presentation skills.Ideal BackgroundTech Founder, CTO, AI Engineer, AI product management, or digital transformation or applied AI implementation roles in B2B environments.Experience building and deploying AI products in B2B environments.Exposure to infrastructure, telecom, industrial, logistics, field operations, ERP/OSS systems, or other operationally intensive environments is beneficial.Experience with AI assistants, predictive models, optimization systems, agentic AI, LLMs, and automation platforms.Previous experience accompanying companies from ideation to pilot and production deployment.Expected Outcomes Build a clear and realistic AI transformation roadmap.Identify high-value AI use cases across departments.Launch practical pilots and MVPs.Move from isolated AI experiments to structured AI adoption.Improve operational efficiency, energy optimization, field productivity, finance automation, and decision-making.Establish safe, scalable, and business-aligned AI practices across the organization.

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

Job DescriptionThe mission of the research assistant is to participate intensively in research works that aim at solving Prediction modeling problems using LLM, RAG and LLM fine tuning. The candidate will be able to use Python library related to AI agent development, and LLM manipulation. In particular, the candidate should have experience with frameworks and tools like LangChain, LangGraph, LangSmith, etc. He should have a large knowledge of the spectrum of LLMs that help enhancing decision making. He/ She will be able to develop an AI agentic Application that need potentially Knowledge in LLM API, AI tools and software development. The position effective date is 15th of Jan 2026 or when the position will be filled and ends on 31st of December 2026 with the possibility of extension The salary will be determined and readjusted based on candidate’s skills evaluation and achievements.Minimum QualificationBachelor of sciencePreferred QualificationMaster of scienceExpected SkillsPython, Ai, Agentic Ai, Langchain, LangGraphClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Job DescriptionThe College of Information Technology (CIT) is looking to hire an assistant professor in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research record in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML in a wide range of fields including Smart Health Systems, Cloud Computing, Business Intelligence and Decision Support Systems. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/search.jsp (postings under CIT). The instructions to complete an application are available on the website. A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU) ranked 229 in QS, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teaching.Close Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Job DescriptionAbout Wynn Al Marjan Island:On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.About The PositionWynn Al Marjan Island is looking for a Data Scientist to join our Database Marketing team.ResponsibilitiesThe primary duties and responsibilities of this role are: Build, maintain and optimize predictive models for the Gaming Marketing Campaigns Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources Maintain documentation for model inputs, business rules, and assumptions Support campaign operations by producing analytical variables, flags, segments, and model driven attributes Perform ad hoc analysis to support marketing decision making Build and maintain performance dashboards and recurring reports for Models and Campaigns performance Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation Perform checks to identify anomalies, missing data, or unexpected trends Keep analytical workflows organized, reproducible, and documented Summarize findings clearly for non-technical stakeholders About You Master or Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field. +2 years of experience in data science and analytics (Gaming experience is a plus but not required). Strong Python and SQL skills for data manipulation and analysis. Experience with Machine learning models (experience with Databricks is a plus) Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation) Experience working with large datasets and operational, recurring analytical tasks. High attention to detail with strong QA instincts. Ability to explain analytical outputs clearly to non‑technical stakeholders. Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment. About Wynn Al Marjan Island’s BenefitsWe offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

Job DescriptionThe College of Information Technology (CIT) is looking to hire a faculty member in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research records in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML/Computer Vision in a wide range of fields including Smart Health Systems, Health Informatics, Cloud Computing, Robotics, Business Intelligence, Agriculture, and Decision Support Systems. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), ranked 229 in global QS ranking, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teachingClose Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number