Your AI career in the UAE starts here

Forward Deployed Engineer — AI & Product EngineeringDarDocBuild products that people rely on. Own the journey from idea to production.DarDoc is building a more connected healthcare experience, bringing digital and at-home care to people across the UAE. Our products serve customers, healthcare professionals, and the teams delivering care. Learn more about DarDoc.We’re hiring a Forward Deployed Engineer who combines strong engineering fundamentals, product judgment, and exceptional fluency with AI tools.Someone who can understand a problem, decide what is worth building, and carry it through to a product people actually use.The roleYou’ll work closely with our founders, engineers, and users to build and improve products across DarDoc.The work spans customer-facing experiences, professional tools, commerce, partner platforms, data systems, and applied AI. You might take a new product from concept to launch, improve a critical customer journey, connect multiple services, or turn an emerging AI capability into a useful product feature.You’ll take ownership of a focused problem at a time, working across the layers needed to solve it. That includes discovery, technical design, implementation, testing, deployment, and iteration after launch.We expect AI to be an integral part of how you engineer. You should be skilled at directing coding agents, providing context, reviewing changes, and validating results. You should also understand the systems you build well enough to debug them when the tools get something wrong.What you’ll doTurn ambiguity into shipped products. Work directly with stakeholders and users to understand the need, challenge assumptions, define success, and deliver the smallest complete solution.Build across the stack. Develop polished interfaces, backend services, APIs, database models, integrations, and background workflows.Bring strong product taste. Care about information hierarchy, interaction design, responsiveness, accessibility, performance, and the details that make software feel intuitive.Use AI with technical judgment. Apply coding agents throughout development while taking responsibility for architecture, correctness, security, and maintainability.Build useful AI capabilities. Identify where models, document processing, retrieval, or automation can create value. Evaluate their quality, cost, latency, and failure modes before release.Make systems work together. Design clear contracts, reliable data flows, and consistent behaviour across products and third-party services.Own production outcomes. Write meaningful tests, investigate failures, improve observability, release carefully, and verify the actual user experience.Connect engineering to business impact. Measure whether your work improves adoption, conversion, reliability, efficiency, or the speed at which the team can deliver.What we’re looking forA track record of building and shipping software used by real customers or teams.Strong full-stack engineering fundamentals and the ability to navigate unfamiliar codebases.Practical experience using AI coding tools such as Codex, Claude Code, Cursor, or equivalents to deliver substantial engineering work.The ability to review generated code critically, identify flawed assumptions, and explain the implementation you ship.Confidence with APIs, authentication, relational databases, asynchronous workflows, and third-party integrations.Good judgment about state, permissions, retries, and data consistency when several systems interact.An eye for product quality. You can recognise when a technically correct experience is still confusing or unfinished.Clear communication with technical and non-technical people.Independence, curiosity, and follow-through. You can move work forward, surface uncertainty early, and ask for help when it matters.Experience with React or Next.js, TypeScript, Node.js, Python, PostgreSQL, and cloud deployments is relevant. We value depth in your core tools and the ability to learn the rest.Experience in healthcare, fintech, marketplaces, commerce, or other domains where software coordinates real-world services is helpful.How we workSimple scales. Fancy fails.We favour clear architecture, focused changes, and software people can understand and maintain. We expect you to question unnecessary complexity and choose the right tool for the problem.Speed matters. So do visual quality, reliable data, and what happens after deployment. You should be comfortable moving quickly while recognising when sensitive information, financial transactions, or clinical workflows require additional care.You’ll have direct access to the people using your work, close collaboration with the founders, and meaningful ownership over both the solution and its results.What success looks likeWithin your first few months, you’ve taken a meaningful problem from discovery to production, helped users adopt the solution, and demonstrated its impact. You understand how your work fits into the wider platform and can take on the next challenge with increasing independence.How to applyShare your CV or LinkedIn profile and one or two examples of software you’ve shipped. Product links, repositories, short walkthroughs, and anonymised case studies are welcome.For one example, tell us:What problem did you solve, and what did you personally own?What was the hardest product or engineering decision?How did you use AI, and what did you have to correct or verify?What happened after launch?We want to understand how you think, what you build, and how well it works in the real world.

Location: United Arabic EmiratesRole: AI Forward Deployed Engineer Focus: Agentic AI, Autonomous SOC, AI Agents & Customer Deployments About the Role Imperum is building an Autonomous SOC powered by Agentic AI, where AI agents don't just generate recommendations - they investigate alerts, reason across security data, interact with security technologies, execute workflows, and collaborate with human analysts. We are looking for an AI Forward Deployed Engineer (FDE) who can take these capabilities into real customer environments. This is a highly technical, hands-on role at the intersection of AI engineering, software engineering, cybersecurity, and customer deployment. You will work directly with customers, SOC teams, MSSPs, Imperum engineering, and our AI team to design, deploy, integrate, troubleshoot, and improve Agentic AI solutions in production environments. You should be equally comfortable writing Python, building an agent graph, integrating an API, debugging a deployment, and sitting with a SOC team to understand why an AI investigation is not producing the expected result. Think of Imperum as a LEGO Set for Agentic AI Imperum provides the building blocks for the Autonomous SOC: AI agents, integrations, tools, workflows, data, security actions, LLMs, automation, and orchestration. Think of Imperum as a LEGO set for Agentic AI. Your role as a Forward Deployed Engineer is to take those building blocks and build what the customer actually needs. One customer may need an autonomous phishing investigation agent. Another may need AI-driven alert triage across Microsoft and CrowdStrike. An MSSP may need a multi-tenant investigation workflow coordinating multiple specialized agents. Another customer may need an entirely new agentic use case that does not exist yet. Understand the customer's problem and operational environment. Select the right Imperum capabilities, agents, tools, integrations, and data. Design the required agentic workflow. Build missing components in Python when necessary. Connect agents to customer technologies and APIs. Test, deploy, evaluate, and continuously improve the solution. Turn successful customer-specific implementations into reusable building blocks for the Imperum platform. Imperum gives you the Agentic AI building blocks. Your job is to assemble them into solutions that solve real customer problems. This means you are not simply deploying a predefined product. You are combining AI + cybersecurity + software engineering + customer knowledge to build new Autonomous SOC capabilities directly in the field. What You Will Do Build & Deploy Agentic AI Design and implement production-grade AI agents and multi-agent workflows. Build agents using LangChain, LangGraph, and similar agentic frameworks. Implement agent orchestration, routing, planning, reasoning, tool use, memory, state management, and human-in-the-loop workflows. Connect LLMs and AI agents with real cybersecurity tools and customer infrastructure. Build and optimize AI workflows for alert triage, investigation, case prioritization, threat hunting, incident response, detection engineering, forensics, and security automation. Forward Deployment Work directly inside complex enterprise and MSSP environments to turn customer requirements into working AI systems. Use Imperum as a modular Agentic AI building platform: assemble existing capabilities, create what is missing, and deliver the solution the customer needs. Deploy Imperum Autonomous SOC capabilities in customer environments. Configure and customize AI agents for specific customer use cases. Build customer-specific tools, integrations, prompts, workflows, and agent graphs. Troubleshoot production AI behavior and analyze why an agent made a particular decision. Integrate customer security technologies, APIs, data sources, and internal systems. Take customer requirements back to the core engineering team and help turn them into scalable product capabilities. This is not a pure research or prompt-engineering position. You will own the path from idea -> code -> integration -> deployment -> production outcome. Technical Requirements Strong Python Engineering Excellent hands-on knowledge of Python is mandatory. Async Python REST APIs and WebSockets SDK development Data processing and Pydantic FastAPI Testing and debugging Authentication and API integrations Production-quality error handling and observability Agentic AI LangChain and LangGraph Tool/function calling and structured outputs Multi-agent architectures Agent state and memory Agent orchestration, planning, and reasoning workflows Human-in-the-loop architectures Agent evaluation and guardrails Context engineering and prompt engineering Model routing and retry/fallback strategies Experience with LlamaIndex, CrewAI, AutoGen, or similar frameworks is valuable. LLM Engineering OpenAI-compatible APIs and Anthropic/Claude models Open-source LLMs and the Hugging Face ecosystem Local/on-premise LLM deployment Embeddings, RAG, and vector search Context management and token optimization Model selection and routing Structured generation LLM evaluation and benchmarking Model distillation, fine-tuning, SLMs, LoRA/QLoRA, quantization, or ML models such as LightGBM/XGBoost are a strong advantage. AI Agent Infrastructure MCP (Model Context Protocol) Tool calling / function calling REST and GraphQL APIs, Webhooks, OpenAPI / Swagger OAuth2, API keys, and service accounts Event-driven architectures, queues, and asynchronous processing Agent permissions and access control You should understand that production agents need more than intelligence - they need identity, permissions, observability, auditability, deterministic controls, and safe execution boundaries. Data & Infrastructure Docker and Kubernetes Linux and Git CI/CD OpenSearch / Elasticsearch Vector databases Kafka / Redpanda Redis and SQL Azure, AWS, or GCP GPU and CPU inference On-premise and air-gapped deployments Cybersecurity Knowledge You don't need to have spent your entire career in a SOC, but you must understand - or be able to rapidly learn - how modern security operations work. SOC operations SIEM EDR / XDR SOAR / Hyperautomation Detection engineering Incident response Threat hunting DFIR MITRE ATT&CK Sigma Security alerts and telemetry False-positive reduction Case management Previous experience integrating platforms such as Microsoft Sentinel/Defender, CrowdStrike, Splunk, Palo Alto, Fortinet, Elastic, OpenSearch, or similar technologies is a strong advantage. Production AI Mindset We are particularly interested in engineers who understand that a successful AI system is not simply: Prompt -> LLM -> Answer Production Agentic AI requires: Data -> Context -> Model -> Reasoning -> Tools -> Actions -> Validation -> Human Feedback -> Learning Why an agent reached a decision and whether that decision can be trusted. How actions are authorized and agent behavior is evaluated. How hallucinations and incorrect actions are contained. How agent execution is logged and audited. How systems recover when models or tools fail. How latency and token consumption are controlled. How AI performance improves from real-world feedback. What Makes a Great Candidate Excellent Python engineer. Has built real LLM or Agentic AI applications. Hands-on experience with LangGraph and/or LangChain. Understands APIs, integrations, and distributed systems. Enjoys solving difficult problems directly with customers. Can independently debug unfamiliar environments. Can rapidly prototype while writing production-quality code. Understands that AI agents must interact safely with real systems. Communicates clearly with both engineers and security teams. Prefers building and shipping over producing endless architecture diagrams. Nice to Have Autonomous or multi-agent systems Cybersecurity products SOC/SIEM/SOAR platforms MCP servers Local and air-gapped LLMs RAG architectures LLM observability and evaluation Model distillation Detection-as-Code Machine learning for security telemetry Enterprise SaaS MSSP / multi-tenant environments Customer-facing engineering Integrations against undocumented or difficult APIs Why This Role Is Different At Imperum, AI agents are being applied to real security operations, not isolated chatbot use cases. Observe -> Investigate -> Reason -> Decide -> Collaborate -> Act -> Learn You will help deploy AI into environments containing thousands of endpoints, millions of security events, multiple security technologies, SOC analysts, and complex enterprise processes. Your work will directly influence how the Imperum Autonomous SOC investigates threats, reduces analyst workload, automates security operations, and evolves toward increasingly autonomous cyber defense. What we offer  Compensation package combining competitive base salary and RSUs (Restricted Stock Units).Top-tier hardware and a generous budget for AI tools, courses, conferences, and model API creditsFlexible remote setupA team that treats AI engineering as a craft worth mastering – you will ship real, hard, meaningful work, fast.

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.

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

Are you passionate about transforming businesses through the power of Artificial Intelligence, Machine Learning, and Advanced Analytics? Miral Experiences is seeking an exceptional Senior Director, AI & Data Science to lead our AI and data science strategy, drive innovation, and build next-generation solutions that shape the future of entertainment, leisure, and immersive guest experiences.Join us at Miral Experiences!Miral Experiences is the region’s leader in the management and operation of world-class, award-winning immersive attractions and experiences across Abu Dhabi. Our diverse portfolio includes some of the most iconic entertainment and leisure destinations, including Ferrari World Yas Island Abu Dhabi, Yas Waterworld Yas Island Abu Dhabi, Warner Bros. World™ Yas Island Abu Dhabi, SeaWorld Yas Island Abu Dhabi, CLYMB™ Yas Island Abu Dhabi, and TeamLab. Phenomena Abu Dhabi, and CLYMB™ Abu Dhabi, as well as cultural treasures like Qasr Al Watan.We specialize in crafting unique experiences that cater to all tastes and ages, delivering a seamless blend of thrills, joy, and discovery. Our attractions are designed to ignite the imagination and create unforgettable memories for visitors from around the world. Whether you're seeking excitement, relaxation, or cultural enrichment, we offer something for everyone.About the RoleAs the Senior Director of AI & Data Science, you will be responsible for defining and executing the organization's AI and data science vision, leveraging advanced analytics, machine learning, generative AI, and emerging agentic AI technologies to solve complex business challenges and unlock new growth opportunities. You will partner closely with senior business leaders and technology teams to develop cutting-edge AI solutions, accelerate data-driven decision-making, and build a culture of innovation across the enterprise.What You'll Do✅ Lead the enterprise AI & Data Science strategy and roadmap✅ Drive the development and deployment of advanced Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions✅ Deliver high-impact data science initiatives that influence strategic business decisions✅ Build and mentor a high-performing team of AI and Data Science professionals✅ Partner with business leaders to identify opportunities where data and AI can drive measurable business value✅ Champion innovation by evaluating emerging technologies, intelligent agents, and AI-powered automation opportunities✅ Oversee the full lifecycle of AI and Data Science projects from ideation to production deployment✅ Promote best practices in data governance, ethics, model validation, and responsible AIWhat We're Looking For✔ Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field✔ 10+ years of experience in Data & Analytics✔ 8+ years of hands-on experience in Data Science, Machine Learning, AI or Advanced Analytics leadership roles✔ Deep expertise in Machine Learning algorithms, predictive modelling, statistical analysis, and AI solution development✔ Strong experience with Python and modern AI frameworks✔ Advanced knowledge of Azure Data & AI services, including Azure ML, Databricks, Data Factory, ADLS, and related technologies✔ Experience working with large-scale enterprise data platforms, distributed databases, and cloud-native analytics environments✔ Proven ability to translate complex data insights into actionable business outcomes✔ Exceptional stakeholder management and executive communication skillsIf you're ready to shape the future of AI-driven experiences and build solutions that make a real impact, we'd love to hear from you.

ACCELLOR is looking for a Senior AI Architect with a strong foundation in Data Science, Machine Learning and Artificial Intelligence who has progressed into an AI architecture role.The successful candidate will design enterprise AI solutions, provide architectural leadership to delivery teams and participate in client discussions, presales activities, solution demonstrations and technical presentations.The role requires someone who is technically hands-on enough to understand AI engineering while being senior enough to engage confidently with enterprise clients.Key Responsibilities:Design end-to-end architecture for AI, Generative AI and Machine Learning solutionsTranslate client business requirements into scalable AI solution architecturesDefine AI architecture patterns, technology choices, integration approaches and deployment modelsArchitect AI solutions leveraging Python and Microsoft AzureWork across AI/ML models, APIs, data platforms, cloud services and enterprise applicationsProvide technical leadership to Data Scientists, ML Engineers, AI Engineers and application development teamsDesign scalable production architectures covering model development, deployment, monitoring and governanceSupport GenAI, LLM and enterprise AI use cases, where applicableParticipate in presales activities including solution design, technical proposals and effort estimationConduct client demonstrations, workshops, presentations and proof-of-concept discussionsCollaborate with delivery and product teams to move AI solutions from concept/POC into productionEnsure AI solutions meet enterprise requirements for scalability, security, performance and responsible AITravel to client locations across the UAE as requiredRequirements12+ years of overall technology/data experienceStrong earlier career experience in Data Science / Machine Learning / AI EngineeringApproximately 2-3+ years working specifically in AI Architecture / Solution ArchitectureAdvanced knowledge of PythonStrong Microsoft Azure experienceExperience architecting enterprise AI/ML solutionsUnderstanding of modern AI technologies including: Machine Learning / Deep Learning, Generative AI and LLMs, RAG architectures, AI APIs and integration, MLOps / LLMOps, Model deployment and monitoring, Data pipelines and cloud architectureAbility to move beyond experimentation and design production-grade enterprise AI solutionsStrong client-facing and presentation skillsComfortable supporting presales, technical demonstrations and solution workshopsConsulting or system-integration background strongly preferredPreferred Experience:Azure AI Services / Azure Machine Learning / Azure OpenAI exposureExperience with enterprise GenAI and LLM implementationsExperience working with UAE government or large enterprise clientsPrevious Big 4, Accenture, global consulting or major technology services experience would be advantageousIdeal profile: A senior professional who started in Data Science / Machine Learning, progressed into AI engineering/technical leadership, and is currently operating as an AI Architect, rather than someone whose experience is limited to traditional data architecture or analytics.