Your AI career in the UAE starts here

The Chief AI Officer is the senior executive responsible for a newly created business within a trading company where you'll own P&L, commercial results and day-to-day leadership, and be accountable for operating within its licences and regulatory obligations.This is an AI leader first, with strong finance and brokerage knowledge. You will lead the next phase of the business, embedding AI, bots and automation across the business: setting the strategy, building the teams, managing vendors, and putting in place the KPIs and governance that turn AI into measurable business results. You will report to the Founder / Group CEO and must be able to explain complex technology in clear business terms and prove its value.Lead the AI directionDefine and own the AI and automation strategy and roadmap for the business, aligned with business goals.Lead end-to-end delivery of AI projects, from use-case identification and pilots through to production and adoption.Build, lead and develop high-performing teams (AI/ML engineers, data scientists, automation and bot developers, product and project managers).Manage vendors, technology partners and platform selection (build vs. buy), and drive AI adoption across the business.Define KPIs, business cases and ROI for AI initiatives, and oversee AI governance, risk, data security and regulatory compliance, including model risk, explainability and responsible AI.Identify where AI and automation can add value across trading, client services, risk, compliance, marketing and operations.Run the businessOwn the P&L, commercial targets, strategy and growth plan for business.Lead the heads of Trading, Risk, Operations, Product and Compliance within the business and ensure effective coordination across functions.Be accountable for operating within the scope of its licences, own its relationships with regulators, shareholders and banking partners, and promote a strong compliance and risk culture.Lead the response to material regulatory, operational or reputational incidents, and represent the business externally as required.Reporting line and authorityReports to the Founder / Group CEO.To the Board overseeing strategy, risk and performance, and to the Chief AI Officer who reports to it through the Founder / Group CEO.Operates within agreed authority limits. Budgets, headcount, capital and spending above the agreed limit require the written approval of the Founder / Group CEOKey Performance IndicatorsCommercial: Company P&L, revenue growth and client activity against the annual plan.Regulatory: zero material regulatory breaches, with any findings remediated on time.Cost: operating costs and headcount within approved budget.AI return on investment: measurable cost savings, revenue or risk reduction from AI initiatives against their approved business cases.Targets are agreed annually with the Founder / Group CEO.Qualifications15+ years of professional experience, including senior leadership (General Manager, CEO, COO or equivalent) with P&L ownership.Proven hands-on experience leading AI, automation and bot projects from concept to production.Strong finance and brokerage knowledge: trading, pricing, execution and risk, and platforms such as MT4/MT5 or equivalents, in a financial services or fintech environment.Track record of leading multidisciplinary teams, both business (Trading, Risk, Compliance, Operations, Product) and technical (AI/ML, data science, automation andbot development).Bachelor’s degree in Business, Finance, Economics, Computer Science, Engineering, Data Science or a related field; a Master’s degree or MBA is preferred.Experience operating in a regulated environment, including regulator-facing accountability, is a strong advantage.Required Skills & ExperienceDeep understanding of the AI development lifecycle: data preparation, training, validation, deployment, monitoring and retraining.Hands-on knowledge of generative AI and large language models, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, evaluation and guardrails.Experience with agentic AI: multi-step agents, tool use, orchestration frameworks and human-in-the-loop controls.Experience delivering intelligent automation (RPA, workflow automation, API integration, conversational bots) and integrating AI with CRM, trading platforms, back-office, KYC/AML and reporting tools.Understanding of trading infrastructure: order management and execution, liquidity, pricing, risk engines and MT4/MT5 or equivalents.Awareness of AI applications in finance: trade surveillance, market-abuse and fraud detection, client behaviour analytics, risk scoring, algorithmic trading support and compliance automation.Experience tracking KPIs and OKRs across a portfolio of AI initiatives, including budgets, milestones and benefits realisation.Core CompetenciesTechnical depth: credible with engineers and data scientists, able to challenge architecture and approach.Business acumen and value demonstration: links AI to revenue growth, cost savings, risk reduction and client experience; builds business cases and communicates results convincingly to executives.Leadership: inspires, hires and develops talent, aligns department heads around sharedpriorities, and builds a culture of innovation and accountability.Stakeholder management: influences C-level executives, business heads and external partners; confident representing the business to regulators and shareholders.Governance mindset: balances innovation and commercial ambition with security, compliance and ethical AI use.Execution: delivers in a fast-moving environment, prioritises effectively, and communicates clearly and decisively under regulatory or market-event pressure.

About ZentavorZentavor is a specialized engineering partner bringing AI/ML and big data solutions into production within complex enterprise environments. We design, build, and integrate custom systems tailored to our clients’ data, business logic, and operational needs, measuring success strictly against agreed business KPIs.We build custom AI for production, measured by business results. Whether delivering complex greenfield platforms end-to-end or deploying elite engineering squads to augment enterprise teams, we bridge business strategy with mission-critical technical execution.Position DescriptionAs Chief Technology Officer, you will define and own Zentavor’s technical vision, engineering standards, and platform delivery. You will put AI and agentic systems at the heart of our technical capabilities – not as an R&D experiment, but as production-grade solutions delivering quantifiable business ROI for top-tier global clients.You will conceive the strategy and drive execution. You are an architect and a builder who solves problems directly in the code, harnesses, and pipelines. You will lead client solution architectures, deploy autonomous multi-agent workflows into production, and hold the engineering bar across distributed elite teams (Data, ML, GenAI, and Backend).You will collaborate closely with executive leadership and client stakeholders, ensuring Zentavor’s delivery is fast, resilient, and enterprise-grade.ResponsibilitiesAI & Agentic Systems Architecture: Own end-to-end technical strategy across LLMs, agentic orchestration, tool-calling (MCP), retrieval (RAG), evaluation frameworks, guardrails, and enterprise context engineering.Production Delivery & Enterprise Integration: Lead the design and integration of custom AI/ML and data platforms into complex client legacy architectures, ensuring SLA compliance, fault tolerance, data governance, and scalable throughput.Engineering Standard & Team Ownership: Directly own technical hiring, workforce planning, and the engineering bar for top-tier talent. Coach tech leads, conduct deep code and architecture reviews, and maintain an uncompromising culture of excellence.AI-Native Engineering Acceleration: Embed AI-assisted development, automated testing, and agentic workflows into Zentavor’s internal operations to 10x engineering throughput.Economics & System Performance: Own build-versus-buy trade-offs, compute optimization, latency/cost budgets, model routing, and token spend governance across client workloads.What We Are Looking For10+ years of progressive engineering leadership (CTO, VP of Engineering, or Principal/Staff Architect) leading high-performance distributed teams.Deep, hands-on command of modern AI/ML systems: foundation models, multi-agent frameworks, fine-tuning, context engineering, vector stores, and automated eval suites.Proven track record of shipping and maintaining distributed, data-intensive systems and high-throughput pipelines in production enterprise environments.Strong grasp of AI economics: hosted vs. self-hosted inference, model routing, cost-per-query optimization, and latency management.High autonomy and ownership: you bring solutions and working prototypes, not open-ended questions.Outstanding client-facing communication: ability to deconstruct complex technical architectures for C-level executives.

ROLE SUMMARYProvide data engineering, analytics, and dashboard development support to Majid Al Futtaim Global Solutions (MAF GS) by designing and optimizing data pipelines, creating insightful Tableau and Power BI dashboards, and delivering analytics and machine learning solutions that enhance data-driven decision-making and accelerate AI innovation initiatives.ROLE PROFILEDesign, develop, and optimize scalable data pipelines using Python and SQL/MySQL to ensure high-quality datasets are available for analytics and reporting.Build, enhance, and maintain interactive Tableau and Power BI dashboards, delivering actionable insights through clearly defined and governed KPIs.Conduct exploratory data analysis and statistical assessments to identify trends, generate insights, and support operational and strategic decision-making.Develop and evaluate predictive analytics and machine learning models, leveraging tools such as scikit-learn to address business challenges and improve outcomes.Create and deploy lightweight analytics applications and proof-of-concept solutions using Streamlit, improving stakeholder access to data and insights.Support AI, NLP, and Generative AI initiatives by contributing to experimentation, prototyping, and validation of innovative use cases.Maintain comprehensive documentation for data models, dashboards, and code repositories while adhering to data quality, governance, and version control standards.Deliver reporting-ready datasets, stakeholder-adopted dashboards, reusable analytical assets, and at least one analytics, ML, or AI prototype with documented outcomes and recommendations for future implementation.REQUIREMENTSProficiency in Python (Pandas, NumPy) and SQL/MySQL to manage, transform, analyze, and model data for business insights and reporting.Strong expertise in data visualization and business intelligence tools, including Tableau, Power BI, and advanced Excel, with the ability to define and monitor meaningful KPIs.Knowledge of exploratory data analysis, statistical techniques, and machine learning concepts, including feature engineering, model development, evaluation, and performance optimization.Experience in developing and deploying analytics solutions and prototypes using Streamlit, with exposure to modern AI platforms and tools such as Hugging Face and NLP frameworks.Familiarity with collaborative development environments and version control tools, including Git/GitHub, Jupyter/Colab, VS Code, and PyCharm, ensuring efficient project delivery and knowledge sharing.Demonstrates strong analytical thinking, problem-solving ability, stakeholder communication, attention to detail, and a continuous learning mindset, supported by a relevant quantitative degree and practical experience through internships, academic project

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

We are hiring Director of AIAzizi Developments is a leading UAE-based private real estate developer with a growing portfolio of landmark residential and mixed-use developments. Our corporate functions play a critical role in supporting the Group’s strategy, growth, governance and long-term business objectives.Job Responsibilities A. AI Strategy and LeadershipDevelop and execute the company's AI strategy, transformation roadmap, and implementation priorities in alignment with overall business objectives.Identify high-impact AI use cases across business units, departments, and project operations.Establish an AI Centre of Excellence (CoE) to promote best practices, standardization, knowledge sharing, and responsible AI adoption.Advise senior management on emerging AI technologies, industry trends, investment opportunities, and potential business impact.Develop business cases, investment proposals, budgets, and implementation plans for AI initiatives.Establish performance indicators to measure AI adoption, productivity improvements, cost savings, and return on investment (ROI).B. AI Solutions and ImplementationLead the design, development, deployment, and continuous improvement of AI-powered solutions, including machine learning, generative AI, intelligent automation, and predictive analytics.Oversee the implementation of AI assistants, enterprise chatbots, document intelligence, knowledge management systems, and workflow automation.Identify opportunities to integrate AI capabilities into existing enterprise applications, including ERP, CRM, HRMS, project management, and business intelligence platforms.Drive the use of AI to automate repetitive tasks, improve processing accuracy, reduce manual intervention, and accelerate decision-making.Evaluate and manage AI platforms, large language models (LLMs), cloud-based AI services, and third-party AI solutions.Ensure successful deployment of AI solutions through proof of concepts (PoCs), pilot projects, user acceptance testing, and controlled production rollouts.C. Real Estate and Property Development ApplicationsImplement AI-driven solutions for project planning, construction progress monitoring, resource optimization, and project risk forecasting.Leverage predictive analytics to support property pricing, market demand forecasting, sales performance analysis, and investment decisions.Drive AI-enabled lead scoring, customer segmentation, sales forecasting, and personalized customer engagement.Introduce intelligent customer service solutions for buyer inquiries, property information, booking support, and post-sales services.Explore AI applications for property valuation, portfolio performance, leasing optimization, facilities management, and predictive maintenance.Apply AI to analyze project documents, contracts, tenders, technical specifications, reports, and other business-critical information.Collaborate with relevant departments to identify opportunities for AI-enabled reporting, operational planning, and business performance monitoring.D. Data Strategy and Advanced AnalyticsEstablish the data and analytics capabilities required to support reliable, scalable, and effective AI implementation.Collaborate with IT, data, and business teams to improve data quality, accessibility, consistency, and integration across enterprise systems.Oversee the development of predictive models, forecasting tools, analytical dashboards, and AI-powered decision-support solutions.Define standards for data preparation, model development, validation, deployment, and monitoring.Promote the responsible use of internal and external data while protecting confidential business information and personal data.E. AI Governance, Security and ComplianceEstablish AI governance policies, standards, procedures, and approval frameworks in coordination with IT, Information Security, Legal, Compliance, and other relevant departments.Ensure AI initiatives comply with applicable UAE laws, regulations, contractual obligations, data protection requirements, and company policies.Implement controls addressing data privacy, cybersecurity, intellectual property, model risks, bias, transparency, and accountability.Assess and manage risks associated with generative AI, third-party AI platforms, automated decision-making, and unauthorized use of AI tools.Establish procedures for human oversight, model validation, incident reporting, and ongoing risk assessment.Coordinate with Information Security teams to ensure appropriate access controls, data protection, and secure integration of AI solutions.F. Team Leadership and Capability DevelopmentBuild, lead, and develop a high-performing AI team comprising relevant specialists such as AI engineers, data scientists, machine learning engineers, and AI solution architects.Define team structures, responsibilities, resource requirements, and professional development plans.Promote collaboration between AI, IT, data, cybersecurity, and business teams.Develop AI awareness and capability-building programs for employees and managers.Lead change management for AI initiatives, including stakeholder engagement, communication, training and user adoption, so that AI solutions are embedded in day-to-day operationsG. Performance Monitoring and Continuous ImprovementDefine and monitor KPIs for AI initiatives, including productivity, process automation, cost efficiency, adoption, accuracy, service quality, and ROI.Monitor the performance, reliability, and business effectiveness of deployed AI models and applications.Conduct periodic reviews to identify opportunities for optimization, expansion, or retirement of underperforming solutions.Ensure AI projects are delivered within approved budgets, timelines, and quality standards.Provide regular management reports covering AI portfolio performance, benefits realization, risks, and future opportunities.Educational QualificationsBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, Information Technology, or a closely related discipline.Master's degree in Artificial Intelligence, Data Science, Computer Science, or Technology Management is preferred.Please DM me or share your profiles @wafa.abdul@azizidevelopments.com

We're partnered with an organisation looking for a Director of AI to lead the design, development, and deployment of AI capabilities across the business. This isn’t a role for someone who has only adopted off-the-shelf AI tools. They want a hands-on technical leader who has built AI systems from the ground up and taken them into production.This is a chance to shape AI strategy at a senior level while staying close to the technology, and to make a real impact in a fast-moving international environment.The RoleDefine and drive the organisation’s AI strategy, roadmap, and prioritiesLead the architecture, development, and deployment of AI and machine learning solutions, from prototype through to production at scaleBuild, mentor, and grow a high-performing team of AI/ML engineers and data scientistsWork with executive leadership and business stakeholders to find high-value AI opportunities and turn them into working productsSet best practices for model development, evaluation, MLOps, governance, and responsible AIStay current with advances in AI and judge when to build, buy, or partnerWhat We’re Looking ForProven track record of building AI/ML systems: designing, training, fine-tuning, and deploying models in production environmentsDeep technical expertise in areas such as machine learning, deep learning, NLP, LLMs, or computer visionHands-on experience with modern AI frameworks and infrastructure (e.g. PyTorch, TensorFlow, cloud ML platforms, MLOps tooling)Senior leadership experience, including building and managing technical teamsInternational exposure. Experience working in markets such as the US, UK, or Singapore is highly desirableAbility to explain complex technical concepts clearly to non-technical stakeholdersWillingness and enthusiasm to relocate to [Location]What’s on OfferA senior leadership role with genuine influence over AI directionCompetitive salary and benefits packageFull relocation supportThe opportunity to build something meaningful from the ground upInterested?If you’re an AI builder who wants to lead, we’d love to hear from you