Your AI career in the UAE starts here

EXO ARNVIND is exclusively scouting for a high-impact Head of AI Engineering for a major retail powerhouses in the UAE.Our clients is undergoing an ambitious, board-sponsored digital transformation to become "AI-first" enterprises. This is not a maintenance role; it is a mandate to build the organization’s "digital nervous system" from the ground up, with significant investment and executive-level backing.The RoleAs the Head of AI Engineering, you will own the long-term AI roadmap for the next decade. You are the bridge between visionary strategy and deep technical execution across retail, supply chain, and digital commerce.Strategic Leadership: Set and execute the enterprise-wide Data & AI strategy, identifying high-value use cases that drive measurable ROI.Full-Stack Build: Architect and scale the entire AI environment—from GPUs and Lakehouses to MLOps, Vector Databases, and SLMs.Innovation Engine: Lead cross-functional teams to build prototypes and move breakthrough solutions from concept to enterprise-wide adoption.Responsible AI: Establish governance frameworks for responsible AI usage and lead enterprise-wide upskilling initiatives.Operational Excellence: Deploy automation and advanced analytics across finance, customer experience, and physical logistics.Profile RequirementsWe are looking for a heavyweight leader with a "builder" mindset and a track record of scaling AI in complex environments.Experience: Minimum 12+ years in Data, AI, and Machine Learning, with proven success leading enterprise-scale programs.Deep Tech Stack: End-to-end expertise in AI lifecycle management, GenAI, retrieval systems, and domain-specific LLMs/SLMs.Innovation Background: Experience with AI product development, patents, or startup environments is highly valued.Physical AI: Demonstrated work in Robotics or Physical AI integration is a significant advantage given the retail/supply chain focus.Leadership: Ability to partner with C-suite executives to drive cultural and technological transformation.What’s in it for you?This is a high-visibility role in one of the world's fastest-growing tech hubs. Show more Show less

Opportunity with TMC & TMC Middle EastWe’re looking for an AI Product Manager to lead the delivery of Generative AI and Agentic AI solutions that drive real business impact across the organization.Own end‑to‑end delivery of GenAI products: conversational agents, AI copilots, and self‑service journeysTranslate business needs into AI features, workflows, and user storiesLead backlog prioritization, sprint planning, UAT, and releases in an agile environmentCollaborate closely with AI Engineers, Data Scientists, Data Engineering, CRM & ERP teamsEnsure seamless integration with enterprise systems (CRM, ERP, internal platforms)Track product KPIs: adoption, response quality, efficiency gains, and business valueDrive user adoption through demos, training, and continuous feedback loops5+ years experience in product management, AI/ML solutions, or digital product deliveryStrong hands‑on understanding of Generative AI, LLMs, and conversational AIProven ability to deliver enterprise AI products and cross‑functional initiativesExperience translating business objectives into measurable outcomes and KPIsSolid stakeholder management and communication skillsExperience with CRM/ERP integrations (e.g., Salesforce)Exposure to enterprise AI platforms, APIs, data pipelines, or ML workflowsKnowledge of tools like Databricks, MLflow, or similar Show more Show less

Our client is looking for a VP of Software Engineering. This position is designed for a senior engineering leader who thrives in transformation environments. As VP of Engineering, you will act as the organisation’s top engineering authority, with full ownership of the function, spanning execution, organisational design, global delivery models, AI integration, platform strategy, and capability building.1. Engineering Operations & DeliveryOptimise the software development lifecycle (SDLC) end-to-endImprove QA processes, release cycles, and production reliabilityIncrease deployment efficiency and code quality standardsIntroduce clear metrics, accountability, and delivery discipline2. Squad Design & Team RestructuringRestructure the existing team into 3–5 high-performing squadsDefine roles, responsibilities, and squad ownership modelsIdentify skill gaps, underperformance, and restructuring needsBalance upskilling vs selective replacement within budget constraints3. Engineering Performance UpliftDrive a culture of high standards and accountabilityImprove output per engineer without increasing headcountMentor Engineering Managers and senior engineersBuild a clear understanding of who owns what and why4. Technical Improvement PrioritiesStabilise and improve payment systemsDrive architecture improvements and modernisationBuild/upgrade data infrastructure for analytics and decision-makingImplement iterative, pragmatic rebuild strategies (not big bang)We are seeking an engineering leader who has the following:15+ years in software engineering, with at least five years in a senior engineering leadership role (VP, Head of Engineering, or equivalent) spanning multiple teams or geographies.Proven track record of transforming underperforming teamsStrong experience managing multiple squads (3–5+)Deep understanding of engineering operations & SDLC optimisationHands-on technical background (able to challenge architecture decisions)Hands-on involvement in AI/ML engineering programmes or AI-driven developer productivity initiatives.Experience in consumer technology, marketplace, or multi-sided platform businesses strongly preferred. Show more Show less

OverviewAs an AI Engineer supporting Security Operations Center (SOC), you will contribute to the development, implementation, and enhancement of AI‑driven and automated security solutions. You will work closely with senior SOC engineers, automation specialists, and SOC analysts to help improve incident detection, response efficiency, and operational workflows using automation and AI technologies.This role focuses on hands‑on development, support, and optimization rather than full platform ownership. You will gain exposure to real‑world SOC environments, automation platforms, and applied AI while building a strong foundation in security operations and AI engineering.ResponsibilitiesOversee the configuration, maintenance, and optimization of our Automation and AI technologies to ensure their effectiveness in automating and orchestrating security workflows.Design, develop, and implement automated workflows and playbooks within Automation and AI technologies to streamline incident response processes and enhance SOC efficiency.Integrate Automation and AI technologies with existing SOC tools and technologies, orchestrating workflows across disparate security systems for seamless response coordination.Develop and deploy automated response actions and playbooks to enable rapid and effective response to security incidents, minimizing manual intervention and reducing response timesIntegrate threat intelligence feeds and indicators of compromise (IOCs) into the Automation platform to enrich incident context and enable automated threat detection and response.Monitor the performance of the Automation and AI technologies, identifying and addressing any issues or bottlenecks to ensure optimal functionality and reliability.Provide technical support during security incidents, leveraging Automation and AI technologies to automate response actions and facilitate incident investigation and resolution.Collaborate with other SOC engineering teams and stakeholders to share knowledge, insights, and best practices related to Automation and AI operations. Foster a culture of continuous learning and improvement within the SOC.QualificationsSkills : -Experience using APIs and integrating security tools.Introductory experience with cloud platforms (AWS, Azure, or GCP).Understanding of security frameworks and standards (e.g., MITRE ATT&CK).Proficiency in workflow development and playbook creation within Automation platforms.Strong understanding of Large Language Models, Machine Learning algorithms, security technologies, protocols, and industry best practices.Excellent problem-solving, analytical, and communication skills.Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.1–3 years of experience in: SOC operations, cybersecurity engineering, automation, or AI / data engineering roles with exposure to security use casesInternship or project-based experience in SOC automation or AI is acceptable.Bachelor’s Degree in Computer Science, Information Technology, Cybersecurity, AI, or a related field. Show more Show less

AI Engineer - High Profile AI Scale UpOur client is building a next-generation digital platform, one that is deeply ethical, powered by thoughtful design, and built from first principles around AI. Their mission is to create a proactive, intelligent system that understands user context, acts safely on their behalf, and earns trust through reliability, transparency, and rigour.As an AI Engineer, you will help shape the agentic intelligence layer that powers their products - systems that reason, remember, and act safely in the real world. This is a high-impact, hands-on role at the heart of a technically ambitious team.WHAT YOU'LL DOBuild and maintain LLM agents and agentic workflows end-to-endDesign retrieval-augmented generation (RAG) pipelines and grounding strategiesDevelop multi-step planning, tool use, and execution flowsImplement approaches to reduce hallucinations and unsafe model behaviourPartner with product, backend, and QA teams to ship production-grade agent capabilitiesIterate continuously based on real-world usage, feedback, and outcomesWHAT WE'RE LOOKING FOR5+ years of experience in applied AI, machine learning, or software engineeringConcrete, hands-on experience building and deploying LLMs and agentic frameworks in productionStrong Python engineering skillsStrong systems thinking with the ability to balance innovation with safety and correctnessAbility to operate autonomously and deliver under tight deadlinesBONUS POINTSPrior experience at an early-stage or high-growth startupHave built and scaled products to Show more Show less

Job DescriptionWe are looking for applicants to fill in a two-year Research Assistant position in a United Arab Emirates University funded project “The Adoption of AI and Digital Technology Innovations in Emirates Media Industry and Its Impacts on Newsrooms and Journalists’ Performance: Developing an Index of Media Innovation.” Selected candidate will collaborate with the members of research groups on research in a wide range of topics in the foundations and applications of AI adoaptation in Newsrooms in the UAE. General responsibilities: Conduct literature reviews Collect and analyze data Prepare interview questions Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary Summarize interviews. Manage and respond to project related email Prepare, maintain, and update website materials Maintaining records on assignment completion, acting as liaison/mediator between the undergraduate students and PI) Arrange and/or attend project meetings Attend area seminars and other meetings as necessary Summarize project results Prepare progress reports for the PI Prepare other articles, reports, spreadsheets, posters and presentations Assisting with statistical data analysis and generating correspondence, reports and graphics Other duties and responsibilities may be assigned by PI Time management skills to meet the project deadlines. Specific responsibilities: Designing, developing, and researching Machine Learning systems, models, and schemes. Studying, transforming, and converting data science prototypes. Searching and selecting appropriate data sets. Performing statistical analysis and using results to improve models. Participate in the establishment of future research directions and contribute to group grant proposals. Document research by publishing papers in high-quality journal and conferences. Collaborate with research group members on research projects Direct Interview arrangement and related information and quantitative/qualitative data analysis. Analyze and interpret the results using computational software (e.g., SPSS, Smart Pls, Excel, GIS). Generate advanced graphs to illustrate the results. Assist in writing the research paper (advanced English skills are desired), communicate and disseminate the work. Carry out large scale psycholinguistic experiments to validate the frequency statistics of the database. Perform other related duties as assignedMinimum QualificationMaster/BA MSc in Media or Computer Science or related areas of the study.Preferred QualificationAs AboveExpected SkillsThe applicant is expected to be dynamic and highly motivated to work independently and with others.Salary Range6,000–7,000 AED/month based on experience and qualificationClose Date Kindly apply before the closing date.30/04/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less