وظائف مساعد شيف في الأردن 2026

من ٠ إلى ٠ سنة بيت.كوم

Senior SharePoint Developer

On-site - الأردن ٢٦ يونيو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Overview KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities. As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey. We invite you to join us. Why? When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards. Responsibilities JOB SUMMARY The Enterprise Digital Solutions Analyst is a full-stack digital practitioner within KEO Group’s IT function, responsible for designing and delivering solutions that digitize, automate, and surface intelligence across the organization. The role spans four capability pillars — Microsoft platform and SPFx/.NET development, Power Platform architecture, data and analytics engineering, and AI integration - with a strong secondary differentiator in Autodesk APS and AEC platform integrations. It requires someone equally comfortable writing a TypeScript web part, building a cross-platform mobile app in React Native, standing up a .NET Core service or Python automation, designing a Dataverse schema, building a Power BI semantic model, or prototyping an Azure OpenAI solution. Working within a multidisciplinary practice of data, knowledge, and infrastructure specialists, the Analyst translates operational challenges into scalable, well-governed digital products that KEO’s people actually use - across projects, practices, and geographies. KEY TASKS AND RESPONSIBILITIES Microsoft Platform Development & Automation <ul><li>Own the design, development, and delivery of solutions across the full Microsoft stack - from Power Platform apps and flows to SPFx web parts, .NET Azure Functions, and Graph API integrations - translating complex business requirements into maintainable, scalable applications.</li><li>Build and govern automated business processes across M365, integrating SharePoint Online, Dataverse, Teams, and third-party systems via connectors and direct REST/Graph API calls, selecting the right pattern based on performance, supportability, and security posture.</li><li>Extend Microsoft 365 Copilot through Copilot Studio - building declarative agents, custom connectors, and prompt extensions that surface KEO knowledge and process intelligence in the tools employees already use.</li><li>Build and deliver cross-platform mobile applications using React Native for Android and iOS, alongside modern web front-ends built with React and Next.js, extending KEO's digital solutions to field, site, and executive users beyond the desktop.</li></ul>Data, Analytics & Reporting <ul><li>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</li><li>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</li><li>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</li></ul>AI Integration & Innovation <ul><li>Prototype and build AI-augmented solutions using Azure OpenAI, Copilot Studio, and the Power Platform AI Builder - identifying high-value use cases through engagement with business stakeholders and translating them into working pilots.</li><li>Stay ahead of the Microsoft AI and Power Platform release cadence, evaluating new capabilities (Copilot agents, AI Builder models, Semantic Kernel integrations) for relevance and value within KEO’s operating context.</li></ul>Platform Support, Governance & Collaboration <ul><li>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</li><li>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</li><li>Performs other duties as assigned.</li></ul> Qualifications <ul><li>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</li><li>Proficient in C#, .NET, and .NET Core for Azure Functions, Web APIs, and cross-platform back-end services; strong TypeScript and JavaScript (ES6+, async/await, module bundling), SPFx and client-side development; solid HTML5 and CSS3 for custom front-end work across SharePoint and Power Pages.</li><li>Deep SPFx development experience - web parts, application customizers, field customizers, and List View Command Sets - using PnP JS, Microsoft Graph Toolkit, and SharePoint REST and Graph API endpoints, with React component patterns as standard.</li><li>Hands-on experience building and shipping cross-platform mobile applications with React Native, including production deployments to both Android (Google Play) and iOS (App Store).</li><li>Strong command of React and Next.js for building modern, component-based and server-rendered web applications, including routing, state management, and integration with REST and Graph APIs.</li><li>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</li><li>Hands-on experience with Power Automate and Power BI</li><li>Hands-on experience with Azure Functions, Azure Logic Apps, Azure Storage Accounts (blobs, queues, tables), Azure Service Bus, and API Management for enterprise integration patterns; familiar with Azure DevOps CI/CD pipelines for Power Platform solutions, SPFx packages, and .NET APIs.</li><li>Solid command of Entra ID app registrations, OAuth 2.0 flows (authorization code, client credentials, on-behalf-of), managed identities, and Microsoft Graph delta queries - able to design and debug end-to-end authentication flows across the Microsoft identity platform without assistance.</li><li>Strong relational database skills, including data schema design and management, authoring complex queries, developing and maintaining stored procedures, and performance optimization (indexing strategy, query plan analysis, and normalization) across SQL Server and comparable relational databases.</li><li>Experience building with Azure OpenAI (GPT-4o, embeddings, Assistants API), Azure AI Search (RAG patterns, semantic ranking, vector search), and AI Builder; familiar with Copilot Studio for declarative agents and custom connectors; working awareness of Semantic Kernel for orchestrating LLM-based workflows within enterprise applications.</li><li>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</li><li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li></ul> </div>

من ٠ إلى ٠ سنة بيت.كوم

Enterprise Digital Solutions Analyst

On-site - الأردن ٢٢ مايو ٢٠٢٦

أخرى

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Overview KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities. As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey. We invite you to join us. Why? When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards. Responsibilities JOB SUMMARY The Enterprise Digital Solutions Analyst is a full-stack digital practitioner within KEO Group’s IT function, responsible for designing and delivering solutions that digitize, automate, and surface intelligence across the organization. The role spans four capability pillars — Microsoft platform and SPFx/.NET development, Power Platform architecture, data and analytics engineering, and AI integration - with a strong secondary differentiator in Autodesk APS and AEC platform integrations. It requires someone equally comfortable writing a TypeScript web part, designing a Dataverse schema, building a Power BI semantic model, or prototyping an Azure OpenAI solution. Working within a multidisciplinary practice of data, knowledge, and infrastructure specialists, the Analyst translates operational challenges into scalable, well-governed digital products that KEO’s people actually use - across projects, practices, and geographies. KEY TASKS AND RESPONSIBILITIES Microsoft Platform Development & Automation <ul><li>Own the design, development, and delivery of solutions across the full Microsoft stack - from Power Platform apps and flows to SPFx web parts, .NET Azure Functions, and Graph API integrations - translating complex business requirements into maintainable, scalable applications.</li><li>Build and govern automated business processes across M365, integrating SharePoint Online, Dataverse, Teams, and third-party systems via connectors and direct REST/Graph API calls, selecting the right pattern based on performance, supportability, and security posture.</li><li>Extend Microsoft 365 Copilot through Copilot Studio - building declarative agents, custom connectors, and prompt extensions that surface KEO knowledge and process intelligence in the tools employees already use.</li></ul>Data, Analytics & Reporting <ul><li>Design and deliver Power BI solutions - from semantic model design, DAX, and row-level security through to publication-ready dashboards - giving KEO teams actionable visibility into operational and business performance data.</li><li>Architect and maintain data models in Microsoft Fabric, Azure Synapse, or Dataverse, applying warehouse-layer design and T-SQL discipline to build governed, performant foundations for analytics and AI features.</li><li>Lead the integration of Autodesk Construction Cloud and other AEC platform data into KEO's analytics ecosystem via APS/Forge APIs, collaborating with delivery teams on data standards and pipeline design.</li></ul>AI Integration & Innovation <ul><li>Prototype and build AI-augmented solutions using Azure OpenAI, Copilot Studio, and the Power Platform AI Builder - identifying high-value use cases through engagement with business stakeholders and translating them into working pilots.</li><li>Stay ahead of the Microsoft AI and Power Platform release cadence, evaluating new capabilities (Copilot agents, AI Builder models, Semantic Kernel integrations) for relevance and value within KEO’s operating context.</li></ul>Platform Support, Governance & Collaboration <ul><li>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</li><li>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</li><li>Performs other duties as assigned.</li></ul> Qualifications <ul><li>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</li><li>Proficient in C# and .NET for Azure Functions, Web APIs; strong TypeScript and JavaScript (ES6+, async/await, module bundling), SPFx and client-side development; solid HTML5 and CSS3 for custom front-end work across SharePoint and Power Pages.</li><li>Deep SPFx development experience - web parts, application customizers, field customizers, and List View Command Sets - using PnP JS, Microsoft Graph Toolkit, and SharePoint REST and Graph API endpoints, with React component patterns as standard.</li><li>Advanced Power Platform capability across Power Apps (canvas and model-driven), Power Automate (cloud flows, desktop flows, process mining), Power Pages, and Copilot Studio; experienced in Dataverse schema design, business rules, plug-ins, and security roles, with working knowledge of PCF controls and the CoE Starter Kit.</li><li>Hands-on experience with Azure Functions, Azure Logic Apps, Azure Service Bus, and API Management for enterprise integration patterns; familiar with Azure DevOps CI/CD pipelines for Power Platform solutions, SPFx packages, and .NET APIs.</li><li>Solid command of Entra ID app registrations, OAuth 2.0 flows (authorization code, client credentials, on-behalf-of), managed identities, and Microsoft Graph delta queries - able to design and debug end-to-end authentication flows across the Microsoft identity platform without assistance.</li><li>Proficient in Power BI including data modelling, DAX, row-level security, and paginated reports; working knowledge of Microsoft Fabric, Azure Synapse Analytics, or SQL Server for pipeline design and warehouse-layer modelling; solid T-SQL across joins, CTEs, window functions, and stored procedures.</li><li>Experience building with Azure OpenAI (GPT-4o, embeddings, Assistants API), Azure AI Search (RAG patterns, semantic ranking, vector search), and AI Builder; familiar with Copilot Studio for declarative agents and custom connectors; working awareness of Semantic Kernel for orchestrating LLM-based workflows within enterprise applications.</li><li>Familiarity with Autodesk Platform Services (APS/Forge) Model Derivative API, Data Management API, and Viewer SDK; experience integrating ACC or BIM 360 project and asset data into Microsoft analytics and automation pipelines is a strong differentiator in KEO's AEC operating context.</li><li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li></ul> </div>

من ٠ إلى ٠ سنة بيت.كوم

Senior Application Developer

On-site - الأردن ١٨ يونيو ٢٠٢٦

أخرى

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Overview KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities. As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey. We invite you to join us. Why? When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards. Responsibilities JOB SUMMARY The Enterprise Digital Solutions Analyst is a full-stack digital practitioner within KEO Group’s IT function, responsible for designing and delivering solutions that digitize, automate, and surface intelligence across the organization. The role spans four capability pillars — Microsoft platform and SPFx/.NET development, Power Platform architecture, data and analytics engineering, and AI integration - with a strong secondary differentiator in Autodesk APS and AEC platform integrations. It requires someone equally comfortable writing a TypeScript web part, building a cross-platform mobile app in React Native, standing up a .NET Core service or Python automation, designing a Dataverse schema, building a Power BI semantic model, or prototyping an Azure OpenAI solution. Working within a multidisciplinary practice of data, knowledge, and infrastructure specialists, the Analyst translates operational challenges into scalable, well-governed digital products that KEO’s people actually use - across projects, practices, and geographies. KEY TASKS AND RESPONSIBILITIES Microsoft Platform Development & Automation <ul><li>Own the design, development, and delivery of solutions across the full Microsoft stack - from Power Platform apps and flows to SPFx web parts, .NET Azure Functions, and Graph API integrations - translating complex business requirements into maintainable, scalable applications.</li><li>Build and govern automated business processes across M365, integrating SharePoint Online, Dataverse, Teams, and third-party systems via connectors and direct REST/Graph API calls, selecting the right pattern based on performance, supportability, and security posture.</li><li>Extend Microsoft 365 Copilot through Copilot Studio - building declarative agents, custom connectors, and prompt extensions that surface KEO knowledge and process intelligence in the tools employees already use.</li><li>Build and deliver cross-platform mobile applications using React Native for Android and iOS, alongside modern web front-ends built with React and Next.js, extending KEO's digital solutions to field, site, and executive users beyond the desktop.</li></ul>Data, Analytics & Reporting <ul><li>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</li><li>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</li><li>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</li></ul>AI Integration & Innovation <ul><li>Prototype and build AI-augmented solutions using Azure OpenAI, Copilot Studio, and the Power Platform AI Builder - identifying high-value use cases through engagement with business stakeholders and translating them into working pilots.</li><li>Stay ahead of the Microsoft AI and Power Platform release cadence, evaluating new capabilities (Copilot agents, AI Builder models, Semantic Kernel integrations) for relevance and value within KEO’s operating context.</li></ul>Platform Support, Governance & Collaboration <ul><li>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</li><li>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</li><li>Performs other duties as assigned.</li></ul> Qualifications <ul><li>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</li><li>Proficient in C#, .NET, and .NET Core for Azure Functions, Web APIs, and cross-platform back-end services; strong TypeScript and JavaScript (ES6+, async/await, module bundling), SPFx and client-side development; solid HTML5 and CSS3 for custom front-end work across SharePoint and Power Pages.</li><li>Deep SPFx development experience - web parts, application customizers, field customizers, and List View Command Sets - using PnP JS, Microsoft Graph Toolkit, and SharePoint REST and Graph API endpoints, with React component patterns as standard.</li><li>Hands-on experience building and shipping cross-platform mobile applications with React Native, including production deployments to both Android (Google Play) and iOS (App Store).</li><li>Strong command of React and Next.js for building modern, component-based and server-rendered web applications, including routing, state management, and integration with REST and Graph APIs.</li><li>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</li><li>Hands-on experience with Power Automate and Power BI</li><li>Hands-on experience with Azure Functions, Azure Logic Apps, Azure Storage Accounts (blobs, queues, tables), Azure Service Bus, and API Management for enterprise integration patterns; familiar with Azure DevOps CI/CD pipelines for Power Platform solutions, SPFx packages, and .NET APIs.</li><li>Solid command of Entra ID app registrations, OAuth 2.0 flows (authorization code, client credentials, on-behalf-of), managed identities, and Microsoft Graph delta queries - able to design and debug end-to-end authentication flows across the Microsoft identity platform without assistance.</li><li>Strong relational database skills, including data schema design and management, authoring complex queries, developing and maintaining stored procedures, and performance optimization (indexing strategy, query plan analysis, and normalization) across SQL Server and comparable relational databases.</li><li>Experience building with Azure OpenAI (GPT-4o, embeddings, Assistants API), Azure AI Search (RAG patterns, semantic ranking, vector search), and AI Builder; familiar with Copilot Studio for declarative agents and custom connectors; working awareness of Semantic Kernel for orchestrating LLM-based workflows within enterprise applications.</li><li>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</li><li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li></ul> </div>

من ٠ إلى ٠ سنة أخطبوط

Finance Officer

On-site - الأردن - عمّان ١٤ يوليو ٢٠٢٦

اللوجستيات وسلاسل الإمداد والمشتريات

<div > <h4 >International Medical Corps never asks job applicants for a fee, payment, or other monetary transaction. If you are asked for money in connection with this recruitment, please report to International Medical Corps at the website for reporting misconduct: <a href="http://www.internationalmedicalcorps.ethicspoint.com/" >www.InternationalMedicalCorps.ethicspoint.com</a>. Please do not submit your CV or application to this website, it will not be considered for review. </h4> <div class="ltr description_div" > Job Title: Finance Officer Location: Amman Job Summary We are looking for a strong, qualified candidate to join our finance department to support the finance officers in IMC Jordan (MERO Office), mainly for preparing vouchers, processing cash/Bank payment, in accordance with our policies and procedures, follow up with the monthly scanning with our HQ and any other duties will be assigned to them. To perform this job successfully, an individual must be able to perform each essential function with or without reasonable accommodation. Main Tasks and Responsibilities  <ul > <li >Maintain cash and bank transaction Journals.</li> <li >Prepares bank and cash reconciliations.</li> <li >Prepare payment vouchers and ensure their timely processing.</li> <li >Ensure the payments Tracker is updated.</li> <li >Ensure the timely updates of the cash & bank transactions journal in the accounting system.</li> <li >Prepare accounts receivable (AR) and accounts Payable (AP) analysis and follow up on outstanding balances.</li> <li >Ensure that procurement and logistics backups necessary for finance records are complete.</li> <li >Prepare adjustment entries (GJs).</li> <li >Assist in preparing National Staff Payroll and consultant payments, ensuring compliance with rules and regulations, including staff health insurance coverage issues, in coordination with the HR department.</li> <li >Assist in the end-of-month closing process by ensuring all procedures are prepared timely, including intercompany entries, accruals, monthly allocations, pool account clearance, monthly amortization, etc.</li> <li >Assist in the preparation of the monthly payroll analysis.</li> <li >Train new finance assistants on the job when needed.</li> <li >Provide assistance during field audit visits.</li> <li >Process requests related to the test of transactions exercise processed by HQ.</li> <li >Perform other duties as assigned by the supervisor.</li> <li >Occasional coverage of Egypt operation </li> </ul> Minimum Requirements: <ul > <li >BA in Accounting or any related field.</li> <li >Excellent written and verbal communication in English.</li> <li >2-4 years of experience in a similar role</li> </ul>  Child Safeguarding International Medical Corps is committed to child safeguarding and expects all employees to strictly adhere to the values and principles of the International Medical Corps Child Safeguarding Policy. Code of Conduct It is our shared responsibility and obligation to prevent matters involving Sexual Exploitation & Abuse, trafficking in Persons, Child Safeguarding and any suggested violation to our Code of Conduct, which may involve Conflicts of Interest, Fraud, Corruption or Harassment.  If you see, hear or are made aware of any suggested activities then you have an obligation to report. Compliance & Ethics Promotes and encourages a culture of compliance and ethics throughout International Medical Corps. As applicable to the position, maintains a clear understanding of International Medical Corps’ and donor compliance and ethics standards and adheres to those standards.  Conducts work with the highest level of integrity. Communicates these values to staff and to partners and requires them to adhere to these values. Equal Opportunities International Medical Corps is proud to provide equal employment opportunities to all employees and qualified applicants without regard to race, color, religion, sex, sexual orientation, national or ethnic origin, age, disability or status as a veteran. This job description is subject to periodic review and adjustment in order to achieve International Medical Corps goals in Jordan, and any changes to the job description will be discussed and agreed “I hereby certify that all the information provided through the application and CV are accurate and the supportive documents are available upon request, any false information provided will cause cancelation of the application and applicant will be subject to legal action”. Our screening process will be on a rolling basis, once a candidate is selected the announcement will be closed.

دوام كامل من ٠ إلى ٠ سنة جولف تالنت

Head of AI Technology

On-site - الأردن - عمّان ٢١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h4>About Zaincash</h4> ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. <h4>Responsibilities:</h4> 1. AI strategy and use case development Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity. Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity. Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap. 2. Solution design and technical leadership Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents. Lead technical evaluation of AI platforms, models, tools, APIs, and vendors. Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability. Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness. 3. Proof of concept and production delivery Lead AI proof of concepts from problem framing to testing and business validation. Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency. Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model. Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value. 4. AI governance, risk, and compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls. Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements. Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency. Define approval gates for AI use cases before they are deployed into production. 5. Data and platform readiness Assess the availability, quality, and accessibility of data required for AI use cases. Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms. Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots. Promote reusable patterns instead of isolated experiments. 6. Vendor and partner evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions. Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability. Support procurement and management in making informed build versus buy decisions. 7. Team enablement and knowledge sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage. Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment. Support the development of internal AI capabilities and reduce dependency on external vendors where possible. <h4>Requirements</h4> Bachelor degree in computer science, software engineering, data science, AI, or a related technical field. 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics. Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps. Strong software engineering background, preferably with Python and API-based system integration. Experience designing and delivering production grade AI or data-driven solutions. Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches. Strong understanding of data privacy, security, responsible AI, and model governance. Ability to communicate clearly with both technical and non-technical stakeholders. Strong problem solving skills and ability to challenge unclear or low-value AI ideas. <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li>

دوام كامل من ٠ إلى ٠ سنة جولف تالنت

Head of AI Technology

On-site - الأردن - عمّان ٢١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h4>About Zaincash</h4> ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. <h4>Responsibilities:</h4> 1. AI strategy and use case development Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity. Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity. Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap. 2. Solution design and technical leadership Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents. Lead technical evaluation of AI platforms, models, tools, APIs, and vendors. Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability. Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness. 3. Proof of concept and production delivery Lead AI proof of concepts from problem framing to testing and business validation. Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency. Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model. Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value. 4. AI governance, risk, and compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls. Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements. Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency. Define approval gates for AI use cases before they are deployed into production. 5. Data and platform readiness Assess the availability, quality, and accessibility of data required for AI use cases. Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms. Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots. Promote reusable patterns instead of isolated experiments. 6. Vendor and partner evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions. Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability. Support procurement and management in making informed build versus buy decisions. 7. Team enablement and knowledge sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage. Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment. Support the development of internal AI capabilities and reduce dependency on external vendors where possible. <h4>Requirements</h4> Bachelor degree in computer science, software engineering, data science, AI, or a related technical field. 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics. Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps. Strong software engineering background, preferably with Python and API-based system integration. Experience designing and delivering production grade AI or data-driven solutions. Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches. Strong understanding of data privacy, security, responsible AI, and model governance. Ability to communicate clearly with both technical and non-technical stakeholders. Strong problem solving skills and ability to challenge unclear or low-value AI ideas. <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li>

دوام كامل من ٠ إلى ٠ سنة جولف تالنت

Head of AI Technology

On-site - الأردن - عمّان ٢١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h4>About Zaincash</h4> ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. <h4>Responsibilities:</h4> 1. AI strategy and use case development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity. Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity. Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap. 2. Solution design and technical leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents. Lead technical evaluation of AI platforms, models, tools, APIs, and vendors. Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability. Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness. 3. Proof of concept and production delivery Lead AI proof of concepts from problem framing to testing and business validation. Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency. Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model. Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value. 4. AI governance, risk, and compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls. Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements. Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency. Define approval gates for AI use cases before they are deployed into production. 5. Data and platform readiness Assess the availability, quality, and accessibility of data required for AI use cases. Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms. Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots. Promote reusable patterns instead of isolated experiments. 6. Vendor and partner evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions. Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability. Support procurement and management in making informed build versus buy decisions. 7. Team enablement and knowledge sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage. Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment. Support the development of internal AI capabilities and reduce dependency on external vendors where possible. <h4>Requirements</h4> Bachelor degree in computer science, software engineering, data science, AI, or a related technical field. 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics. Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps. Strong software engineering background, preferably with Python and API based system integration. Experience designing and delivering production grade AI or data driven solutions. Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches. Strong understanding of data privacy, security, responsible AI, and model governance. Ability to communicate clearly with both technical and non-technical stakeholders. Strong problem solving skills and ability to challenge unclear or low value AI ideas. <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul>

دوام كامل من ٠ إلى ٠ سنة جولف تالنت

Head of AI Technology

On-site - الأردن - عمّان ٢١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h4>About Zaincash</h4> ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. <h4>Responsibilities:</h4> 1. AI strategy and use case development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity. Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity. Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap. 2. Solution design and technical leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents. Lead technical evaluation of AI platforms, models, tools, APIs, and vendors. Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability. Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness. 3. Proof of concept and production delivery Lead AI proof of concepts from problem framing to testing and business validation. Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency. Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model. Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value. 4. AI governance, risk, and compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls. Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements. Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency. Define approval gates for AI use cases before they are deployed into production. 5. Data and platform readiness Assess the availability, quality, and accessibility of data required for AI use cases. Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms. Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots. Promote reusable patterns instead of isolated experiments. 6. Vendor and partner evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions. Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability. Support procurement and management in making informed build versus buy decisions. 7. Team enablement and knowledge sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage. Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment. Support the development of internal AI capabilities and reduce dependency on external vendors where possible. <h4>Requirements</h4> Bachelor degree in computer science, software engineering, data science, AI, or a related technical field. 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics. Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps. Strong software engineering background, preferably with Python and API based system integration. Experience designing and delivering production grade AI or data driven solutions. Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches. Strong understanding of data privacy, security, responsible AI, and model governance. Ability to communicate clearly with both technical and non-technical stakeholders. Strong problem solving skills and ability to challenge unclear or low value AI ideas. <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul>

من ٠ إلى ٠ سنة بيت.كوم

Head of AI Technology

On-site - الأردن ٣ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About Zaincash ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more. For more information, please visit www. zaincash.iq. Responsibilities: 1. AI Strategy and Use Case Development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity. Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity. Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap. 2. Solution Design and Technical Leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents. Lead technical evaluation of AI platforms, models, tools, APIs, and vendors. Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability. Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness. 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation. Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency. Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model. Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value. 4. AI Governance, Risk, and Compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls. Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements. Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency. Define approval gates for AI use cases before they are deployed into production. 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases. Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms. Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots. Promote reusable patterns instead of isolated experiments. 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions. Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability. Support procurement and management in making informed build versus buy decisions. 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage. Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment. Support the development of internal AI capabilities and reduce dependency on external vendors where possible. Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field. 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics. Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps. Strong software engineering background, preferably with Python and API based system integration. Experience designing and delivering production grade AI or data driven solutions. Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches. Strong understanding of data privacy, security, responsible AI, and model governance. Ability to communicate clearly with both technical and non technical stakeholders. Strong problem solving skills and ability to challenge unclear or low value AI ideas. Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries. Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics. Experience with Arabic language AI use cases, OCR, document processing, or image based verification. Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration. Experience evaluating AI vendors and preparing business cases for technology investment. Knowledge of data platforms, data pipelines, BI, and analytics environments. </div>

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