وظائف مساعد شيف في الأردن
٨٧٠ وظائف شاغرة
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Manages a Field based Finance team to ensure, inter alia, that the Finance function provides accurate, relevant and timely financial information and advice to a multiplicity of internal and external stakeholders; Trains and instructs the staff on financial matters in the Field. Is responsible for the interpretation of the financial information and for providing advice on a broad range of management issues to the Field Director, Programme Chiefs and other managers within the Field; advises on the management of the financial envelope and, in close coordination with Human Resources, advises on staffing costs for the Field including reallocation of financial resources based on Field/Agency priorities, forecasts costs and expenditures. In full compliance with IPSAS, coordinates the preparation of the Field medium term forecasts and operating budget; reviews budget submissions, monitors expenditures against budget allotments and reports on variances; ensures that Field budget activities are carried out in an accurate, defendable and timely manner. Ensures due diligence in all aspects of the disbursements, receipts and management of the Field's financial resources including responsibility of internal control procedures, cash flow management and treasury functions in the Field; Ensures that local bank account administration and associated cash management functions are performed in adherence to Financial Regulations. Supervises the preparation of the monthly financial report to internal management, the Quarterly Budget Review for all Programmes and Departments to enable management to conduct resource allocation, the fully accrued monthly accounts, the financial records and statements and reports including monthly figures covering also the staff cost in coordination with the Departments; ensures that yearly and biennium Field accounts closing activities are carried out in a precise and timely manner; coordinates Field replies to internal and external audit queries. Ensures that the provisions of the IPSAS compliant Financial Regulations, the Finance Manual and Finance and Budget Technical Instructions issued by Headquarters are complied with throughout the Field and are supplemented locally to the extent necessary. Is responsible for development and maintenance of Fields' financial systems and procedures in order to maintain a balance between operational expediency and financial control, and takes a lead in identifying local systems and processes that could be streamlined for greater efficiency. Serves on Field Committees involving financial matters including Local Committee on Procurement and Tender Opening committee.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Competencies</h2><ul><li>Learning and Researching</li><li>Applying Technical Expertise</li><li>Planning and Organizing</li><li>Leading and Supervising</li><li>Deciding and Initiating Action</li></ul><h2>Education</h2><p>Advanced university degree from an accredited educational institution in finance, accountancy, business administration or related field</p><h2>Job Specific Qualifications</h2><p>Work Experience</p><p>Seven years of progressively responsible and relevant work experience in the application of the knowledge acquired in finance, accountancy, business administration or related field is required. At least three years at a supervisory level, in a large commercial, industrial or government Agency, involving work in finance, accounting, budget, audit and related functions with solid grasp of accrual Accounting such as IPSAS or IFRS is required. Excellent understanding and/or experience of financial modules a major Enterprise Resource Planning System such as SAP or Oracle is required. Unless already serving as an international staff member in the UN Common System, a candidate for an international post must have at least two continuous years of relevant international experience outside UNRWA, and outside the country(s) of which the candidate is a national or holds citizenship, a passport, or a national identity number is required. Advanced university degree from an accredited educational institution in finance, accountancy, business administration or related field is required. Indicate your current involvement in any outside activities, as it is required. Including but not limited to employment, independent contractor/freelance consultant, board member (corporate, academic, etc), expert group, lobby, public speaking/writing (article, book, blog, social media etc), teaching, conferences, training, press statement, voluntary work, political activity, fundraising/donation for non UNRWA entity, running for public office, role in political party or orgs, owning business, work for gov./NGO/private company/charity, UNRWA partner/vendor, full/part-time, paid or not. A "yes" answer doesn't necessarily lead to exclusion from future work at UNRWA, yet misrepresentation in providing accurate/complete info can lead to disqualification/termination of appointment, if hired. Working experience with an organization in the United Nations Common System is desirable. Membership in a professional body of accountants (e.g., Institute of Chartered Accountants, Institute of Certified Public Accountants) is desirable. knowledge of a second UN Language (preferably Arabic) is desirable</p><h2>Languages</h2><p>English and French are the working languages of the United Nations Secretariat. For this job opening, English is required. Arabic is desirable. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages . un.org for details).</p><p><br></p><h2>Assessment</h2><p>Evaluation of qualified candidates may include an assessment exercise which may be followed by competency-based interview.</p><h2>Special Notice</h2><p>Type of Contract and duration: 1 year, with the possibility of further extension. The incumbent will be required to reside in the field of assignment and to travel occasionally in the Agency's area of operations in the Middle East. * Based upon the situation in the occupied Palestinian territory, the Duty station for the Gaza and West Bank Field offices is currently Amman. As the situation allows, the Duty station may be revisited. Only applications that have been fully completed in UNRWA's online e-recruitment system inspira will be considered and no late applications will be accepted. The Personal History Profile (PHP) should be completed with full work experience under the experience tabs as per the requirements in the Job Opening. All university degrees must also be stated, where applicable. UNRWA personnel must ensure adding their contract type and grade level. Given the large pool of applicants, only shortlisted candidates will be contacted for further assessment. Providing incorrect or misleading information on an application form will result in the immediate disqualification of the candidate. Advertisements published in English will only accept applications in English, other language submissions will not be considered. UNRWA is committed to achieving gender balance in its workforce. Female candidates are strongly encouraged to apply. UNRWA welcomes applications from qualified candidates with disabilities. A roster may be created from the selection exercise, and successful candidates may become eligible for appointment to the same post or a similar post, when the need arises. Equivalency: A first level university degree in combination with additional years of qualifying experience may be accepted in lieu of an advanced university degree. NB: work experience alone or formal qualifications with no relevant work experience are not considered an acceptable combination. The Agency disqualifies applicants whose name appears on the UN Sanctions List or a UN database of staff separated for reason of misconduct or of staff who separated while a misconduct process was pending. UNRWA shares investigation and misconduct information with other UN Agencies, and past and prospective employers about staff members who have been separated for misconduct, or who have separated while an investigation and/or disciplinary process for misconduct is underway; and those individuals may be prohibited from employment with the United Nations. UNRWA is funded almost entirely by voluntary contributions from UN member states, regional bodies, business foundations and individual contributions. The mission of UNRWA is to help Palestine refugees achieve their full potential in human development under the difficult circumstances in which they live. For more details on UNRWA, please visit: https://www.unrwa.org/</p><p>United Nations Considerations</p><p>Staff members are subject to the authority of the Commissioner-General of UNRWA and to assignment by him or her. UNRWA is committed to achieving gender parity at all levels of staffing under the current UN-wide gender agenda and strongly encourages applications from qualified applicants from under-represented groups. At UNRWA, the paramount consideration in the recruitment and employment of staff is the necessity of securing the highest standards of efficiency, competence and integrity, with due regard to geographic diversity. All employment decisions are made on the basis of qualifications and organizational needs. UNRWA is committed to creating a diverse and inclusive environment of mutual respect. Reasonable accommodation for applicants with disabilities may be provided to support participation in the recruitment process when requested and indicated in the application.</p><p><br></p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Overview</strong><br><p><span>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.</span><br><br><span>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.</span><br><span>We invite you to join us. Why?</span><br><span>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.</span></p><br> <br><strong>Responsibilities</strong><br><p><span><strong>JOB SUMMARY</strong></span></p><br><p><span>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.</span></p><br><p><span><strong>KEY TASKS AND RESPONSIBILITIES</strong></span></p><br><p><span><strong>Microsoft Platform Development & Automation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Data, Analytics & Reporting</strong></span></p><br><ul><li><span>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</span></li><li><span>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</span></li><li><span>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</span></li></ul><p><span><strong>AI Integration & Innovation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Platform Support, Governance & Collaboration</strong></span></p><br><ul><li><span>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</span></li><li><span>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</span></li><li><span>Performs other duties as assigned.</span></li></ul> <br><strong>Qualifications</strong><br><ul><li><span>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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).</span></li><li><span>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.</span></li><li><span>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</span></li><li><span>Hands-on experience with Power Automate and Power BI</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</span></li><li><span>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</span></li></ul> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Overview</strong><br><p><span>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.</span><br><br><span>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.</span><br><span>We invite you to join us. Why?</span><br><span>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.</span></p><br> <br><strong>Responsibilities</strong><br><p><span><strong>JOB SUMMARY</strong></span></p><br><p><span>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.</span></p><br><p><span><strong>KEY TASKS AND RESPONSIBILITIES</strong></span></p><br><p><span><strong>Microsoft Platform Development & Automation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Data, Analytics & Reporting</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>AI Integration & Innovation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Platform Support, Governance & Collaboration</strong></span></p><br><ul><li><span>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</span></li><li><span>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</span></li><li><span>Performs other duties as assigned.</span></li></ul> <br><strong>Qualifications</strong><br><ul><li><span>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</span></li></ul> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Overview</strong><br><p><span>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.</span><br><br><span>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.</span><br><span>We invite you to join us. Why?</span><br><span>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.</span></p><br> <br><strong>Responsibilities</strong><br><p><span><strong>JOB SUMMARY</strong></span></p><br><p><span>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.</span></p><br><p><span><strong>KEY TASKS AND RESPONSIBILITIES</strong></span></p><br><p><span><strong>Microsoft Platform Development & Automation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Data, Analytics & Reporting</strong></span></p><br><ul><li><span>Apply strong analytical thinking and reporting skills to translate operational data into clear dashboards, reports, and business insights.</span></li><li><span>Clean, transform, and structure data using Power Query, DAX, and sound data modelling practices to support accurate and reliable reporting.</span></li><li><span>Work with APIs, endpoints, and connected data sources to integrate external and internal system data into reporting and analytics solutions.</span></li></ul><p><span><strong>AI Integration & Innovation</strong></span></p><br><ul><li><span>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.</span></li><li><span>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.</span></li></ul><p><span><strong>Platform Support, Governance & Collaboration</strong></span></p><br><ul><li><span>Participate in business requirements analysis and process re-engineering workshops, helping stakeholders articulate problems precisely before designing solutions.</span></li><li><span>Ensure that Health, Safety, Sustainability, and Continual Improvement principles are embedded in all work practices.</span></li><li><span>Performs other duties as assigned.</span></li></ul> <br><strong>Qualifications</strong><br><ul><li><span>Typically, 5–8 years of hands-on Microsoft platform development experience, with demonstrable depth across SharePoint Online and Azure integration.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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).</span></li><li><span>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.</span></li><li><span>Proficient in Python for scripting, automation, data processing, and back-end service development, integrating with Azure services and enterprise APIs.</span></li><li><span>Hands-on experience with Power Automate and Power BI</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>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.</span></li><li><span>Experience integrating systems using REST APIs, OAuth-secured endpoints, and structured data exchange patterns to support analytics, automation, and enterprise application workflows.</span></li><li><span>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</span></li></ul> </div>
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<h4 ><em >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: </em><a href="http://www.internationalmedicalcorps.ethicspoint.com/" ><em >www.InternationalMedicalCorps.ethicspoint.com</em></a><em >. Please do not submit your CV or application to this website, it will not be considered for review. </em></h4>
<div class="ltr description_div" >
<p ><strong >Job Title: Finance Officer</strong></p>
<p ><strong >Location: Amman</strong></p>
<p ><strong ><u >Job Summary</u></strong></p>
<p >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.</p>
<p >To perform this job successfully, an individual must be able to perform each essential function with or without reasonable accommodation.</p>
<p ><strong ><u >Main Tasks and Responsibilities </u></strong></p>
<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>
<p ><strong >Minimum Requirements:</strong></p>
<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>
<p ><strong ><u > Child Safeguarding</u></strong></p>
<p >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.</p>
<p ><strong ><u >Code of Conduct</u></strong></p>
<p >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.</p>
<p ><strong ><u >Compliance & Ethics</u></strong></p>
<p >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.</p>
<p ><strong ><u >Equal Opportunities</u></strong></p>
<p >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.</p>
<p >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</p>
<p >“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”.</p>
<p ><strong >Our screening process will be on a rolling basis, once a candidate is selected the announcement will be closed.</strong></p>
<p><h4>About Zaincash</h4>
<p>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.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API-based system integration.<br>
Experience designing and delivering production grade AI or data-driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p>
<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></p><p></p>
<p><h4>About Zaincash</h4>
<p>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.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API-based system integration.<br>
Experience designing and delivering production grade AI or data-driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p>
<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></p><p></p>
<p><h4>About Zaincash</h4>
<p>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.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API based system integration.<br>
Experience designing and delivering production grade AI or data driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p>
<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></p><p></p>
<p><h4>About Zaincash</h4>
<p>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.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API based system integration.<br>
Experience designing and delivering production grade AI or data driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p>
<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></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>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.<br> 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.<br> For more information, please visit www.<br>zaincash.iq. Responsibilities: 1.<br> 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.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.<br> 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.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.<br> 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.<br> 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.<br> Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.<br> 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.<br> 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.<br> 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.<br> Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.<br> Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries.<br> Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.<br> Experience with Arabic language AI use cases, OCR, document processing, or image based verification.<br> Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.<br> Experience evaluating AI vendors and preparing business cases for technology investment.<br> Knowledge of data platforms, data pipelines, BI, and analytics environments.<br></span> </div>