AI Jobs in Dubai

Vice President AIOverviewA high growth, well funded fintech organisation is seeking a Vice President AI to lead the buildout and scale of its artificial intelligence capability. The company is entering a critical growth phase and looking to build a best-in-class AI function that drives competitive advantage across products and operations.This role is focused on defining strategy, hiring top talent, and scaling AI capability, while delivering measurable business impact.Key ResponsibilitiesDefine and execute the AI strategy, aligning initiatives to product roadmap and commercial goalsBuild and scale high performing AI teams across machine learning, data science, and engineeringOwn hiring strategy, workforce planning, and talent development to attract and retain top AI talentEstablish scalable AI platforms, tooling, and MLOps frameworks to support production deliveryDrive delivery of high impact AI use cases across fraud detection, risk modelling, automation, and customer experiencePartner with product, engineering, and business leaders to embed AI into core offeringsIntroduce best practices across the AI lifecycle including model development, deployment, and monitoringImplement governance frameworks covering responsible AI, compliance, and model riskMentor senior technical leaders and define clear career pathways across IC and management tracksManage budgets, vendors, and external partnerships to accelerate capability buildout and scalingRequirements12 plus years experience across AI, machine learning, or data driven engineeringProven track record building and scaling AI teams in high growth environmentsStrong technical grounding in machine learning systems, data platforms, or AI engineeringExperience operating at Director or VP level within a technology led organisationDemonstrated success delivering AI solutions into production at scaleExperience within fintech, payments, or regulated industries preferredStrong executive stakeholder management and communication skillsUnderstanding of AI governance, risk, and regulatory considerationsWhy JoinWell funded fintech scale up with strong backing and rapid growth trajectoryApproximately 200 employees with ambitious expansion plansOpportunity to build AI capability from strong foundationsHigh visibility role with direct impact on product and business strategyLeadership team fully aligned on AI as a core growth driverSuccess MeasuresSuccessful hiring and scaling of high performing AI teamsEstablishment of scalable, production ready AI capabilityDelivery of AI driven solutions with measurable business impactStrong retention, engagement, and development of AI talent

May 25, 2026

Chief AI Solutions Architect

Mint Specialist Recruitment Ltd

IT Services and IT Consulting and Business Consulting and Services

Dubai, United Arab Emirates

IT Services and IT Consulting and Business Consulting and Services

Full-time

We are currently looking to hire an experienced and talented Chief AI Solution Architect to join a global industry-leading Digital Business Consulting firm, based in their Dubai office, to lead pursuits and delivery of cutting-edge digital projects for their clients across the UAE, Saudi Arabia and wider Middle East region.RESPONSIBILITIESAI Architecture Authority and Delivery LeadershipDefine end-to-end AI solution architectures spanning data platforms, AI/ML pipelines, GenAI stacks, application integration, cloud infrastructure, security, and MLOpsAct as design authority for complex, multi-vendor AI programs, ensuring architectural coherence from use-case design through build, deployment, and scaleLead delivery of AI solutions, directing internal teams and partners, ensuring solutions meet performance, scalability, security, and responsible AI requirementsTranslate business and functional requirements into actionable AI solution designsOriginate and shape AI-led opportunities across priority industriesLead AI solutioning for proposals, bids, and pursuitsAct as a trusted advisor to client executives on AI strategy, investment prioritisation, and value realisation, linking AI use cases to measurable business outcomesContribute towards the firm's AI solution architecture capabilityREQUIRED EXPERIENCE10+ years of total experience, across AI, data, solution architecture, and technology leadership rolesDemonstrated track record leading large-scale AI or data-driven transformation programs in consulting or complex enterprise environmentsProven experience owning AI solutioning for client pursuits and translating AI capabilities into commercial impactBachelor's degree required; master's degree or PhD in a relevant field strongly preferredCloud, AI, or data architecture certifications are highly desirablePrior consulting, multi-client delivery, and ecosystem partner management experience is a strong advantageDeep expertise in enterprise AI solution architecture, including data platforms, ML engineering, GenAI/LLM architectures, application integration, cloud, security, and MLOpsProven ability to design and deliver AI solutions that move from experimentation to production at scaleExperience with modern AI stacks and platforms (e.g., cloud AI services, open-source ML frameworks, vector databases, orchestration and monitoring tools)Executive-level communication and influencing skills, with the ability to bridge business strategy and advanced AI engineeringProfessional-level English communication skills are essentialIf you are an experienced and driven AI Solution Architect with high-level leadership and mature market Consulting experience we'd like to hear from you!

May 25, 2026

Director of Artificial Intelligence

Auxo Talent

Technology, Information and Media

Dubai, United Arab Emirates

Technology, Information and Media

Full-time

Job Title: Director of Artificial IntelligenceLocation: Dubai (on-site)We are partnering with a leading enterprise organisation in the region to hire an AI Director to work directly with business units, identifying and delivering high-impact AI use cases from concept through to production.This is a delivery-focused role, not a strategy position.Key ResponsibilitiesIdentify and shape AI use cases in partnership with senior business stakeholdersLead initiatives from concept → POC → production deploymentOwn measurable business outcomes and ROI from deployed AI systemsAct as the interface between business units and engineering teamsDrive adoption of AI solutions across operational environmentsRequirements10+ years’ experience across engineering, AI/ML, or large-scale technology deliveryProven track record of deploying AI/ML or GenAI solutions into production environmentsStrong understanding of modern AI technologies (ML, LLMs, RAG, automation)Experience engaging with senior stakeholders in client-facing or business-facing rolesAbility to translate business problems into scalable technical solutionsProfileCommercially minded with strong technical credibilityDemonstrated ability to move beyond POCs into real-world deploymentComfortable operating in a highly visible, stakeholder-facing roleThis is a unique opportunity to take ownership of AI delivery within a major organisation, driving tangible business impact through deployed systems.For a confidential discussion, please get in touch.

May 25, 2026

Data Scientist / AI Engineer Intern

FIVE Hotels and Resorts

Hospitality

Dubai, Dubai, United Arab Emirates

Hospitality

Other

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry.Join the FIVE Tribe - and Get Ready to Make Waves.The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as a Data Scientist / AI Engineer Intern will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!What We’re Looking ForCurrently pursuing or recently completed a Master’s Degree (or final year of a Bachelor’s) in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field. Availability for a 6-month Internship, ideally as part of an End-of-Studies Academic Requirement. Demonstrated hands-on experience through Internships, Research, or Personal Projects involving Data or AI Systems. Strong proficiency in Python, PySpark and SQL, supported by a solid understanding of Data Engineering, Statistics and Analytical Concepts. Foundational knowledge of Machine Learning techniques including Classification, Regression and Model Evaluation. Familiarity with AI/LLM Systems, including API integrations, workflows and performance monitoring. Basic exposure to Cloud Environments (AWS preferred), including storage (S3) and compute services. Understanding of Data Pipelines, APIs and Data Ingestion processes. Strong Analytical and Problem-Solving Skills with attention to Data Accuracy and Validation. Excellent Communication Skills, with the ability to translate Technical Concepts into Business Insights. Highly Organised with the ability to Manage Priorities in a Dynamic Environment. A proactive, ‘Can-Do!’ attitude with a passion for Building Real-World AI Solutions. Key ResponsibilitiesDesign, Build and Deploy AI and Data-Driven Solutions with Direct Business Impact across Marketing, Revenue and Guest Experience. Develop Conversational AI Agents, including Web-Based and WhatsApp Solutions, to automate Guest Interactions such as Restaurant Reservations. Engineer Marketing Intelligence Systems that analyse complex advertising data (Meta, TikTok, Google) to generate High-Impact Recommendations. Support Hotel Revenue Optimisation by modelling Demand, Occupancy Trends and Real-Time Market Data. Build and Enhance Machine Learning Recommendation Engines to deliver Personalised Guest Experiences and Offers. Own a Core Project End-to-End, from Problem Structuring and Technical Design to Deployment and Iteration. Collaborate with cross-functional Teams to understand Business Needs and translate them into Scalable Data Solutions. Ensure Data Accuracy, Model Performance and Reliability through Testing, Monitoring and Continuous Improvement. Contribute to the Development of Data Pipelines, APIs and Scalable Infrastructure. Present Insights and Technical Outputs in a Clear, Structured and Business-Relevant manner to Stakeholders. The Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential.Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community.An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity.About FIVE Hotels And ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage.Find out more here: fivehotelsandresorts.com

May 25, 2026

Data Scientist

Virtusa

IT Services and IT Consulting

Dubai, Dubai, United Arab Emirates

IT Services and IT Consulting

Full-time

As the Data Scientist at First Abu Dhabi Bank within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies. Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or relatedfield; Additional Degree or certifications in the field related to data science/Analytics ispreferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage.

May 25, 2026

AI Agent Engineer - 12 Months Contract

Hays

IT Services and IT Consulting

Dubai, United Arab Emirates

IT Services and IT Consulting

Contract

The job holder is responsible for designing, building, and operating production-grade AI agents on Microsoft Foundry — LLM-powered systems that reason, use tools, and orchestrate multi-step workflows against enterprise data and services. This is a hands-on, pro-code role: the engineer writes Python, integrates Azure services, and ships agentic applications that drive measurable business impact. The engineer works within agile teams alongside Product, Data Science, and Architecture to take agent use cases from prototype to production.Key Responsibilities:AI Agent Development on Microsoft FoundryDesign, build, and deploy pro-code AI agents on Microsoft Foundry, leveraging its agent framework, model catalogue, and tool/function-calling capabilities.Integrate agents with Palantir Foundry via MCP (Model Context Protocol) to fetch enterprise data and execute Ontology actions, alongside other tool, retrieval, memory, and multi-agent orchestration patterns in Python.Build evaluation harnesses and guardrails (groundedness, safety, cost, latency) and iterate on prompts, tools, and architectures based on measured outcomes.LLM Engineering & ProductionizationApply prompt engineering, structured output, RAG, and grounding techniques appropriate to each use case.Operate agents in production: observability, tracing, cost monitoring, regression testing, and incident response.Manage versioning of prompts, tools, and agent configurations alongside code.Azure & Platform IntegrationIntegrate with Azure services (Azure OpenAI, AI Search, Storage, Functions, Container Apps, Key Vault, Entra ID) to deliver secure, scalable agent solutions.Build and maintain CI/CD pipelines for agent deployment, including automated evals as a release gate.Implement authentication, authorization, secret management, and data-handling patterns aligned with enterprise security standards.Cross-functional CollaborationWork closely with Product Managers, Data Scientists, and IT Architects to translate agent use cases into delivery plans.Communicate trade-offs (model choice, latency, cost, accuracy) clearly to technical and non-technical stakeholders.Champion agentic patterns and reusable components across the engineering organization.Qualifications:Software engineering experience with hands-on production experience building LLM-based / agentic systems (tool use, orchestration, RAG, evals).Bachelor’s Degree in Computer Science, Engineering, or related quantitative fieldAdvanced degrees preferred.Strong Python — idiomatic, typed, tested; comfortable with async and modern packagingProven experience building production AI agents in code (e.g. Microsoft Foundry / Azure AI Foundry, Semantic Kernel, AutoGen, LangGraph, LlamaIndex, OpenAI Agents SDK, or equivalent custom frameworks)Microsoft Foundry experience strongly preferred (agent authoring, model catalog, connectors, deployment)Azure exposure — Azure OpenAI, AI Search, identity, storage, serverless compute; familiarity with Azure DevOps or GitHub ActionsDeep working knowledge of LLM application patterns: tool/function calling, structured outputs, RAG, memory, multi-agent orchestrationExperience with evaluation frameworks and observability for LLM systems (tracing, prompt/response logging, automated evals)DevOps fundamentals: Git, CI/CD, containers, infrastructure-as-code; exposure to data engineering and vector stores is a plusHigh-energy, ownership-driven mindsetStrong problem-solving and analytical skillsExcellent communication and collaboration abilitiesComfortable navigating ambiguity and driving clarityExperience in agile/start-up environments preferredTrack record of taking AI/ML or agent projects from prototype to production

May 25, 2026

Fraud Analyst

Synechron

Technology, Information and Internet, IT System Custom Software Development, and Software Development

Dubai, United Arab Emirates

Technology, Information and Internet, IT System Custom Software Development, and Software Development

Full-time

We have an Immediate Job opportunity for Fraud Analyst position.Job Role: Fraud AnalystJob Location: Dubai, UAEExperience : 6 to 14 YearsNotice Period: Immediate to 30 daysAbout Company:At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 15,000+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn communitDiversity, Equity, and Inclusion:Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements, and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected.Job Description:Fraud Analyst is responsible for leveraging analytics especially advanced Analytics.Advanced Analytics & Data Science: Strong expertise in statistical modelling, machine learning, and predictive analytics to detect fraud patterns.Should have worked on Fraud insights and turn them into strategies for the acquiring & issuing fraud risk functions.This role demands collaboration with internal fraud risk & operations teams and clientsDefine strategies and implement effective rules to prevent fraud loses.Fraud Analyst will also provide thought leadership on the effective rule management to minimise the complexities around fraud monitoring toolsRequired Skills:Fraud Analytics Tools: Hands-on experience with fraud monitoring platforms, rule engines, and anomaly detection systems.Data Management: Ability to handle large datasets, data cleansing, feature engineering, and building fraud risk models.SQL & Programming: Proficiency in SQL, Python, or R for querying, analysis, and automation.Visualisation & Reporting: Skilled in tools like Tableau, Power BI, or similar to present fraud insights clearly.Qualifications:Bachelor’s or Master’s degree in computer science, Information Systems, or related fieldSoft Skills:Excellent communication and leadership skills.Strong interpersonal and collaboration skills.Ability to work under pressure and meet tight deadlines.Positive attitude and strong work ethic.

May 25, 2026

Data Scientist

Huspy

Real Estate

Dubai, Dubai, United Arab Emirates

Real Estate

Full-time

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.Academic Background: Bachelor’s in STEM (Master’s a plus).By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

May 25, 2026

Senior AI Agent Engineer

Beam AI

IT Services and IT Consulting

Dubai, Dubai, United Arab Emirates

IT Services and IT Consulting

Full-time

Beam's engineering team is building the core infrastructure for self-learning agents, turning AI into reliable, production-grade systems. We work across the full stack, from frontend to infra, solving for real-time orchestration, tool integration, and complex workflow execution. This is a high-trust, high-impact environment where engineers move fast, ship often, and help shape both the product and the platform as we scale. If you care about building with clarity, speed, and depth, you'll do your best work here. To learn more, visit https://beam.ai/.About The TeamBeam's AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam's platform evolves and how our customers succeed.About The RoleAs a Senior Solutions Engineer, you'll sit at the intersection of AI, product, and customer success. You own the full lifecycle of automation delivery, from discovery through deployment, working directly with enterprise clients to turn complex workflows into scalable, AI-powered solutions using Beam's Agent OS.This is a high-context, high-ownership role. You'll spend your time in client conversations, prompt engineering, workflow decomposition, integration planning, and close collaboration with product and engineering. You'll shape not just individual client outcomes but the platform itself through structured feedback from the field.ResponsibilitiesYour work will involve both prompt engineering excellence and close customer collaboration. You will be expected to:Partner with enterprise customers to identify automation opportunities, gather requirements, and translate business problems into agent-powered solutionsDesign and build agentic automations using Beam's Agent OS. This includes scoping workflows, engineering prompts, and configuring integrationsManage delivery end-to-end: timelines, client expectations, and stakeholder communication across technical and executive audiencesTroubleshoot and iterate on live automations by diagnosing issues, refining prompts, and improving performanceCollaborate with product and engineering to scope features, surface platform gaps, and feed customer insights back into the roadmapAct as a strategic advisor to clients on AI adoption, workflow automation best practices, and integration architectureRequirements2-3 years in a client-facing technical role such as Solutions Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similarStrong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executivesDemonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near-production settingsExperience automating workflows with AI. You've used AI to automate real business processes, not just experimented in sandboxesSolid API knowledge and integration experience. You're comfortable scoping and coordinating API-based integrations with external systemsAnalytical, process-driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approachNice to HaveAI/ML background or hands-on experience applying AI to business workflowsExperience in a fast-paced startup environmentHow We HireOur process includes a case study where you'll work on a realistic automation challenge: designing an extraction prompt, building a project plan, and presenting your approach. We want to see how you think, not just what you knowBenefitsAt Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.Our culture is shaped by our values in action:AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn't just what we build, it's how we operateCustomer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomesSpeed as a habit: We ship fast, learn faster, and prioritize unblocking over perfection. We favour small experiments with tight feedback loopsLeverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedbackHighly aligned, loosely coupled: We align on outcomes, not tasks. You'll work independently, but never in isolationData-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow togetherIf this sounds like the kind of work you want to do and the kind of team you want to grow with, we'd love to hear from you!

May 25, 2026

Principal Data & AI | Dubai | On-Site

Discovered MENA

Insurance

Dubai, United Arab Emirates

Insurance

Full-time

Principal Data & AI | Dubai (DIFC) | Fully On-Site*no relocation package is provided with this position*We are looking for a Principal Data & AI to join our client on-site in Dubai. The MissionYou will oversee the end-to-end data development lifecycle: from ingestion and transformation to the productionalization of LLM-based solutions. Currently, the client is anchored in SAP HANA, but they are embarking toward a cloud-native future. We need a leader who can manage the current infrastructure while architecting the next generation of the data platform.What You’ll DoArchitecture: Evolve the cloud data architecture to support real-time analytics and ML/AI use cases.Engineering: Maintain robust ETL/ELT pipelines (dbt, Python, SQL) and implement sophisticated web scraping solutions.AI Enablement: Partner with Data Scientists to move LLM experiments into production-grade feature stores and agents.Governance: Enforce data quality and security (IAM, encryption, auditing) across the platform.We are searching for a candidate with the below: 10–12 years of total experience in Data Engineering/Architecture. (with 3–4 years of experience in a supervisory or lead role, with a proven ability to hire and grow teams)Strong expertise in SAP HANA / SAP HANA Cloud (HANA modeling, Calculation Views, SDI/SDA).Deep, hands-on experience with BOTH Snowflake AND Databricks, alongside a strong proficiency in AWS or Azure.Proven experience building and implementing LLM-based solutions, Generative AI, and intelligent agents.Experience hiring, mentoring, and developing world-class data engineering talent.Experience communicating directly with the CEO and key stakeholders. (You can explain complex technical roadmaps to non-technical executives with clarity and confidence)Holds a Bachelor’s or Master’s degree in Computer Science, Math, Statistics, or a related field.

May 25, 2026

Artificial Intelligence Engineer

Bhatia general contracting

Construction

Dubai, United Arab Emirates

Construction

Full-time

Roles & responsibilitiesWe are seeking an innovative and technology-driven AI & Digital Transformation Engineer to support the company’s digitalization initiatives and implementation of Artificial Intelligence solutions across construction and business operations. The candidate will be responsible for improving operational efficiency, automation, data analytics, and digital workflows within the organization. Key Responsibilities Lead AI strategy across the organization Implement enterprise AI systems Create AI governance frameworks Lead digital transformation Integrate AI with ERP, procurement, and operations Develop and implement AI-driven solutions for construction and business operations. Support digital transformation initiatives across departments including HR, Procurement, Planning, QA/QC, and Project Management. Analyze business processes and identify opportunities for automation and optimization. Develop dashboards, reports, and data analytics tools for management decision-making. Coordinate implementation of ERP, BIM, IoT, and digital construction technologies. Work with different departments to improve workflow efficiency using AI and automation tools. Support document digitization, workflow automation, and smart reporting systems. Monitor and evaluate emerging technologies relevant to the construction industry. Provide technical support and training to users on digital platforms and systems. Ensure data security, system integration, and compliance with company IT policies. Prepare technical documentation, SOPs, and project reports related to digital initiatives.Desired candidate profileBachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, IT, Software Engineering, or related field. Experience in AI tools, automation platforms, and digital transformation projects. Knowledge of Python, SQL, Power BI, Machine Learning, or data analytics tools. Familiarity with ERP systems, BIM platforms, and cloud-based technologies is preferred. Understanding of construction industry workflows and digital construction practices is an advantage. Strong analytical, problem-solving, and communication skills. Ability to coordinate with cross-functional teams and management. Experience in UAE construction or engineering industry is preferred. Preferred Skills AI/ML Model Development Power BI / Tableau Dashboarding Process Automation BIM Coordination ERP Integration Data Analytics & Reporting Cloud Platforms and API Integration

May 25, 2026

ML Quantitative Researcher

Fionics

Investment Management, Software Development, and Financial Services

Dubai, United Arab Emirates

Investment Management, Software Development, and Financial Services

Full-time

Quantitative Researcher — Systematic StrategiesUAE | Full-timeHiring for a world-leading institutional investor building out a quant research division and dedicated AI/ML research lab. Significant compute resources, long time horizons, and serious capital behind systematic strategies.The Role Develop alpha signals and systematic strategies using ML, deep learning, and statistical techniques across equities, rates, FX, and multi-asset. Take research from ideation to production. Collaborate with PMs, engineers, and data teams.YouPhD or equivalent in ML, statistics, maths, CS, or quant financeExperience building trading signals in a live environmentPython required, C++ a plusWhy HereMassive investment in quant and AI capabilitiesScale and resources few firms can matchLong-horizon research culture - not chasing quarterly P&LUAE - tax-free, high quality of lifeAll applications confidential

May 25, 2026

AI/ML Engineer - 6 Months Contract

Hays

IT Services and IT Consulting

Dubai, United Arab Emirates

IT Services and IT Consulting

Contract

We are looking for a hands‑on AI/ML Engineer to own and execute MLOps, evaluation, and deployment practices for a production AI platform built on LLMs, agentic workflows, vision, and voice AI.This role is strongly execution‑focused. You will work across the entire AI lifecycle—from evaluation and observability to RLHF, deployment in constrained environments, and production readiness sign‑off—while collaborating with internal teams and directing external vendors.Key ResponsibilitiesMLOps & Deployment OwnershipDefine and oversee MLOps practices including:Agent and model versioningEvaluation trackingDeployment gating and promotion workflowsRollback and recovery proceduresCollaborate with internal stakeholders and external delivery teams to ensure reliable production deployments.Evaluation, Monitoring & ObservabilityOwn the evaluation framework for:LLM‑based agentsRAG pipelinesVision Language Models (VLMs)Voice AI models (OpenAI Whisper, Chatterbox, Vibe Voice, or equivalent)Define and maintain:Offline evaluation methodologiesOnline monitoring and regression detection thresholdsHuman‑in‑the‑loop review processesSet up and manage AI observability tooling (e.g., Langfuse or equivalent) across all environments.Performance Reporting & InsightsBuild and maintain product performance reporting, covering:Model accuracy and agent effectivenessLatency and cost‑per‑interactionBias, quality trends, and stability across marketsProvide clear technical insights to non‑technical stakeholders.RLHF & Continuous ImprovementDesign and oversee RLHF (Reinforcement Learning from Human Feedback) pipelines:Data collection and feedback ingestionAnnotation guidelines and reward criteriaFeedback loops for continuous improvementDirect implementation by external teams and monitor quality improvements over time.Agent Memory SystemsOwn the design and validation of agent memory architectures, including:Short‑term context windowsLong‑term retrievalEpisodic memory across sessionsMemory lifecycle policies (retention, expiry, cost control)Define test criteria to ensure consistency across deployment environments.Model Benchmarking & OptimizationEvaluate and benchmark VLMs and voice models under constrained infrastructure.Recommend optimization strategies:QuantizationDistillationRuntime and model selection per jurisdictionValidate production readiness in on‑prem or sovereign environments.Production Readiness & RolloutsOversee production deployments executed by vendor teams.Run final validation checks and sign off on production readiness.Document deployment patterns, baselines, and environment‑specific configurations to accelerate future market rollouts.Privacy & Data ResidencyEvaluate and recommend privacy‑preserving deployment patterns, including:On‑device inferenceData isolationLocal or sovereign model hostingEnsure compliance with jurisdictional data residency requirements.Technical Requirements3–5 years of experience in applied AI, LLMOps, MLOps, or similar technical AI roles.Strong Python expertise:Type hints, async programming, FastAPICode reviews, evaluation scripts, prototyping pipelinesExperience with LLM application patterns:RAG pipelinesPrompt engineeringMulti‑agent orchestrationSolid background in supervised ML (scikit‑learn, XGBoost, LightGBM, or equivalent).Strong understanding of MLOps fundamentals:Model versioningExperiment trackingCI/CD deployment pipelinesMonitoring and rollback strategiesHands‑on experience with:RLHF or human‑feedback‑driven improvement loopsLLM/VLM/voice AI evaluation frameworksAgent memory architecturesWorking knowledge of:Vision Language Models (VLMs)Voice AI systems across latency, language, and hosting constraintsUnderstanding of model optimisation techniques (quantization, distillation, ONNX).Experience using AI observability tools (Langfuse, LangSmith, or equivalent).Comfortable directing or overseeing external/vendor engineering teams.Ability to work independently in ambiguous and non‑standard infrastructure environments.Good to HaveExperience with sovereign cloud or government‑regulated infrastructure.Familiarity with agentic AI frameworks (LangChain/LangGraph, CrewAI, PydanticAI).Exposure to federated learning or privacy‑preserving inference.Background in healthcare, insurance, or regulated domains.Experience building performance dashboards for non‑technical audiences.Immediate Joiner - Required

May 25, 2026

Ultiwise Consult

Visa Sponsor

Dubai, United Arab Emirates

AI Engineering

Full-time

AED 10000 per month

python

AI Implementation Specialist Department: Technology / Operations Reports To: IT HEAD/ COO/CEO Employment Type: Full-Time ________________________________________ About the Role We are looking for a curious, tech-savvy, and proactive AI Implementation Specialist to help drive the company's AI and automation initiatives. This is a hands-on, execution-focused role where you will work closely with different teams to identify manual, repetitive workflows and transform them using AI-powered tools and automation. No team of your own to manage — just real impact through real projects. This is a great opportunity for someone early in their career who is passionate about AI and wants to be at the forefront of how businesses use it day-to-day. ________________________________________ Key Responsibilities AI Project Support & Execution • Assist in the planning, coordination, and execution of AI projects from kick-off to deployment. • Research and evaluate AI tools, platforms, and solutions that fit specific business needs. • Work with vendors and internal stakeholders to integrate AI tools into existing systems and workflows. • Document project progress, timelines, and outcomes to keep stakeholders informed. Workflow Automation • Conduct walkthroughs with department teams (Finance, Purchasing, Operations, Sales, Logistics, etc.) to understand and map out manual processes. • Identify tasks suitable for automation and propose practical AI-driven solutions. • Build and deploy automations using no-code/low-code tools such as Make (Integromat), Zapier, Microsoft Power Automate, or similar platforms. • Monitor and maintain deployed automations, troubleshooting issues and making improvements over time. AI Tools Adoption • Help onboard employees onto new AI tools through simple guides, walkthroughs, and hands-on support. • Act as an internal resource and first point of contact for questions related to AI tools in use. • Stay up to date on new AI tools and use cases, and share relevant findings with the team. Reporting & Documentation • Track key metrics such as time saved, error reduction, and adoption rates for implemented solutions. • Maintain clear documentation of all automations, integrations, and AI workflows. • Prepare simple reports and updates for management on project status and results. ________________________________________ Requirements Must-Have • 1–3 years of experience in a tech, operations, or process improvement role. • Hands-on experience with at least one automation or no-code tool (e.g., Zapier, Make, Power Automate, Notion AI, etc.). • Comfortable using and exploring AI tools (e.g., ChatGPT, Claude, Gemini, or similar). • Strong attention to detail and ability to document processes clearly. • Good communication skills — able to explain tech concepts simply to non-technical colleagues. • Self-starter attitude with a willingness to learn and figure things out. Nice-to-Have • Exposure to basic scripting or programming (Python, JavaScript) — not required but a plus. • Familiarity with project management tools (Asana, Jira, Notion, Trello). • Experience working across multiple departments or in a cross-functional environment. • Understanding of prompt engineering or working with LLM-based tools. ________________________________________ Success Metrics • Number of manual workflows successfully automated within the first 6–12 months. • Time savings and efficiency gains reported by teams using automated processes. • Employee adoption and satisfaction with AI tools introduced. • Quality and completeness of process documentation maintained. ________________________________________

Apr 23, 2026

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