Your AI career in the UAE starts here

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

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

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

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

Job Title: AI/ML EngineerJob Type: Full-TimeJob SummaryJoin our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.Key ResponsibilitiesDesign, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.Required Skills And QualificationsProficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).Exceptional written and verbal communication skills for effective collaboration and documentation.Preferred QualificationsExperience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.Prior exposure to government or highly regulated cloud environments and compliance standards. Show more Show less

Job Title: AI/ML EngineerJob Type: Full-TimeJob SummaryJoin our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.Key ResponsibilitiesDesign, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.Required Skills And QualificationsProficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).Exceptional written and verbal communication skills for effective collaboration and documentation.Preferred QualificationsExperience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.Prior exposure to government or highly regulated cloud environments and compliance standards. Show more Show less