وظائف تدريس إدارية في الأردن
٤٩٦١ وظائف شاغرة
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p>
<h4>Responsibilities:</h4>
<ol>
<li><strong>Strategy & architecture leadership</strong><br>
Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br>
Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br>
Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br>
Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br>
Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li>
<li><strong>AI solution design & technical oversight</strong><br>
Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br>
Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br>
Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br>
Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br>
Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br>
Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li>
<li><strong>Platform engineering & infrastructure</strong><br>
Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br>
Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br>
Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br>
Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br>
Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li>
<li><strong>Governance, compliance & responsible AI</strong><br>
Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br>
Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br>
Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br>
Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br>
Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li>
<li><strong>Technical leadership & enablement</strong><br>
Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br>
Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br>
Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br>
Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br>
Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li>
<li><strong>Stakeholder engagement & communication</strong><br>
Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br>
Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br>
Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br>
Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li>
</ol>
<h4>Requirements</h4>
<p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br>
Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br>
Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br>
TOGAF or equivalent enterprise architecture certification is preferred.<br>
7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br>
4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br>
Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br>
Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br>
Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br>
Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p>
<p><strong>AI & technology skills:</strong><br>
Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br>
Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br>
Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br>
Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br>
Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br>
Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br>
Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br>
Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>
<p><h4>Description</h4>
<p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p>
<p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p>
<p>All Syarah employees are expected to work in accordance with Syarah core values: tolerance, transparency, respect, integrity and positivity.</p>
<h4>About the role:</h4>
<p>The Product Owner – Shopping Experience will own the end-to-end shopping journey across web and app, focusing on discovery, conversion, and operational execution. This role works closely with operations, marketing, CX, engineering, design, Data/BI, and commercial stakeholders to deliver measurable improvements.</p>
<h4>Responsibilities</h4>
<ul>
<li>Own the shopping experience roadmap and backlog (discovery & conversion).</li>
<li>Translate business needs into clear user stories, requirements, and acceptance criteria.</li>
<li>Run Scrum ceremonies: daily standups, sprint planning, backlog grooming, retros, and release coordination.</li>
<li>Drive experimentation: define hypotheses, run A/B tests, measure impact, and scale winners.</li>
<li>Monitor performance KPIs and funnels (e.g., CTR, lead submit, booking/downpayment, conversion, drop-offs).</li>
<li>Partner with operations and CX to ensure smooth execution and reduce friction across processes.</li>
<li>Align stakeholders and keep communication clear: scope, timelines, dependencies, and trade-offs.</li>
<li>Ensure quality delivery with QA/UAT support and post-release monitoring.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>1-3 years in product (PO/PM) with strong execution focus (preferably e-commerce / marketplaces).</li>
<li>Strong analytics mindset: ability to analyze funnels, cohorts, and experiment results.</li>
<li>Hands-on with product tools (examples): Mixpanel/GA, Jira/Confluence.</li>
<li>Proven stakeholder management across multiple functions.</li>
<li>Strong understanding of Scrum/Agile and day-to-day product delivery.</li>
<li>Familiarity working closely with operations teams and operational workflows.</li>
<li>Good understanding of the Saudi market and user expectations.</li>
<li>Fluent in English (Arabic is a plus).</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p>
<p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p>
<p>All Syarah employees are expected to work in accordance with Syarah core values: tolerance, transparency, respect, integrity and positivity.</p>
<h4>About the role:</h4>
<p>The Product Owner – Shopping Experience will own the end-to-end shopping journey across web and app, focusing on discovery, conversion, and operational execution. This role works closely with operations, marketing, CX, engineering, design, Data/BI, and commercial stakeholders to deliver measurable improvements.</p>
<h4>Responsibilities</h4>
<ul>
<li>Own the shopping experience roadmap and backlog (discovery & conversion).</li>
<li>Translate business needs into clear user stories, requirements, and acceptance criteria.</li>
<li>Run Scrum ceremonies: daily standups, sprint planning, backlog grooming, retros, and release coordination.</li>
<li>Drive experimentation: define hypotheses, run A/B tests, measure impact, and scale winners.</li>
<li>Monitor performance KPIs and funnels (e.g., CTR, lead submit, booking/downpayment, conversion, drop-offs).</li>
<li>Partner with operations and CX to ensure smooth execution and reduce friction across processes.</li>
<li>Align stakeholders and keep communication clear: scope, timelines, dependencies, and trade-offs.</li>
<li>Ensure quality delivery with QA/UAT support and post-release monitoring.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>1-3 years in product (PO/PM) with strong execution focus (preferably e-commerce / marketplaces).</li>
<li>Strong analytics mindset: ability to analyze funnels, cohorts, and experiment results.</li>
<li>Hands-on with product tools (examples): Mixpanel/GA, Jira/Confluence.</li>
<li>Proven stakeholder management across multiple functions.</li>
<li>Strong understanding of Scrum/Agile and day-to-day product delivery.</li>
<li>Familiarity working closely with operations teams and operational workflows.</li>
<li>Good understanding of the Saudi market and user expectations.</li>
<li>Fluent in English (Arabic is a plus).</li>
</ul></p><p></p>
<p><h4>Company description</h4>
<p>About Orient Express<br>
Artisan of travel since 1883, Orient Express sublimates the art of travel with its luxury trains, hotels, and sailing yachts. The brand has just launched its first hotel, Orient Express La Minerva, in Rome – which will be followed by Orient Express Venezia at Palazzo Donà Giovannelli in 2026. The experience continues with the recent launch of La Dolce Vita Orient Express train, followed by Orient Express Corinthian in 2026, the first of two Orient Express sailing yachts, and finally, the return of L’Orient Express train to railways. Since 2022, Orient Express is part of Accor Group’s leading collection of luxury brands with a century-old legacy in the hotels and fine-dining sectors. In 2024, Accor and LVMH entered into a strategic partnership to accelerate the development of Orient Express.</p>
<h4>Job description</h4>
<ul>
<li>Provide professional and personalized wine recommendations, pairing suggestions, and beverage guidance to guests.</li>
<li>Perform wine service according to fine-dining and five-star hotel standards, including correct presentation, opening, and pouring techniques.</li>
<li>Support the management, organization, and maintenance of the wine cellar, ensuring proper storage conditions and stock rotation.</li>
<li>Assist in monitoring wine inventory levels, reporting shortages, breakages, and quality issues.</li>
<li>Contribute to the development, updating, and presentation of the wine list in line with the restaurant’s concept and positioning.</li>
<li>Collaborate closely with the kitchen brigade to ensure harmonious food and wine pairings.</li>
<li>Support the training of service staff on wine knowledge, service techniques, and beverage upselling.</li>
<li>Ensure compliance with hygiene, safety, and food & beverage service standards.</li>
<li>Assist in controlling beverage costs, minimizing waste, and supporting revenue optimization through informed sales.</li>
<li>Manage guest preferences, special requests, and VIP experiences with discretion and professionalism.</li>
<li>Participate in wine tastings, supplier meetings, and product evaluations as required.</li>
<li>Uphold the hotel’s brand values, grooming standards, and luxury service culture at all times.</li>
</ul>
<h4>Additional information</h4>
<p>A competitive salary package<br>
ALL - Heartist® Program: Employee benefit card offering discounted rates at all Accor locations and partner venues worldwide.<br>
Learning & development: Opportunity to develop your talent and grow within your property and across the world!</p></p><p></p>
<p><h4>Company description</h4>
<p>About Orient Express<br>
Artisan of travel since 1883, Orient Express sublimates the art of travel with its luxury trains, hotels, and sailing yachts. The brand has just launched its first hotel, Orient Express La Minerva, in Rome – which will be followed by Orient Express Venezia at Palazzo Donà Giovannelli in 2026. The experience continues with the recent launch of La Dolce Vita Orient Express train, followed by Orient Express Corinthian in 2026, the first of two Orient Express sailing yachts, and finally, the return of L’Orient Express train to railways. Since 2022, Orient Express is part of Accor Group’s leading collection of luxury brands with a century-old legacy in the hotels and fine-dining sectors. In 2024, Accor and LVMH entered into a strategic partnership to accelerate the development of Orient Express.</p>
<h4>Job description</h4>
<ul>
<li>Provide professional and personalized wine recommendations, pairing suggestions, and beverage guidance to guests.</li>
<li>Perform wine service according to fine-dining and five-star hotel standards, including correct presentation, opening, and pouring techniques.</li>
<li>Support the management, organization, and maintenance of the wine cellar, ensuring proper storage conditions and stock rotation.</li>
<li>Assist in monitoring wine inventory levels, reporting shortages, breakages, and quality issues.</li>
<li>Contribute to the development, updating, and presentation of the wine list in line with the restaurant’s concept and positioning.</li>
<li>Collaborate closely with the kitchen brigade to ensure harmonious food and wine pairings.</li>
<li>Support the training of service staff on wine knowledge, service techniques, and beverage upselling.</li>
<li>Ensure compliance with hygiene, safety, and food & beverage service standards.</li>
<li>Assist in controlling beverage costs, minimizing waste, and supporting revenue optimization through informed sales.</li>
<li>Manage guest preferences, special requests, and VIP experiences with discretion and professionalism.</li>
<li>Participate in wine tastings, supplier meetings, and product evaluations as required.</li>
<li>Uphold the hotel’s brand values, grooming standards, and luxury service culture at all times.</li>
</ul>
<h4>Additional information</h4>
<p>A competitive salary package<br>
ALL - Heartist® Program: Employee benefit card offering discounted rates at all Accor locations and partner venues worldwide.<br>
Learning & development: Opportunity to develop your talent and grow within your property and across the world!</p></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award. Our Purpose Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities. Our shared values guide the way we behave to make a positive, enduring impact: Lead the way Serve with integrity Take care of each other Foster inclusion Collaborate for measurable impact During your tenure as a Translator in Audit & Assurance, you will demonstrate and develop your capabilities in the following areas: Translate written materials such as audit reports, financial statements, management letters, proposals, and presentations from English to Arabic and vice versa. Ensure the accuracy, clarity, and consistency of translations while maintaining the professional tone required for client deliverables. Leadership capabilities: Builds own understanding of our purpose and values explores opportunities for impact. Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent. Understands expectations and demonstrates personal accountability for keeping performance on track. Actively focuses on developing effective communication and relationship-building skills. Understands how their daily work contributes to the priorities of the team and the business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor s degree in English Language, Translation, Accounting, or a related field. Minimum 3-4 years of proven professional translation experience, preferably within audit, assurance, or financial services. Fluency in English and Arabic, with excellent writing and proofreading skills in both languages. Strong command of Microsoft Word, Excel, and PowerPoint. Proven ability to manage multiple deadlines and deliver high-quality work under pressure.</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Do you want to make a difference in people's lives? </strong></p><br><p>We are looking for a <strong>Customer Service Representative </strong>(<strong>English Speaker</strong>) to join our growing team! </p><br><p><strong>Who we are:</strong></p><br><p><strong>WUDUH </strong>is the Jordanian operations hub servicing a U.S.-based company specializing in financial settlement solutions. At the heart of our work, we help people manage and navigate their financial future with confidence. </p><br><p>Beyond our work, we are passionate about nurturing talent and promoting a culture of innovation, creativity, and endless possibilities. If you are looking for a place to develop your skills and make a real impact, <strong>WUDUH </strong>is where you can grow and succeed. </p><br><p><strong>Job Objectives: </strong></p><br><p>The Customer Service Representative (CSR) is responsible for delivering exceptional support to clients by addressing inquiries, resolving service-related issues, and guiding customers through WUDUH's financial programs. Operating within a fast-paced call center environment, the CSR ensures that each interaction is handled with clarity, empathy, and professionalism while maintaining compliance with company standards.</p><br><p><strong>What you'll be doing:</strong></p><br><p><strong>Customer Interaction</strong></p><br><ul>
<li>Handle incoming customer inquiries, feedback, and requests through various channels such as phone calls, and emails.</li>
<li>Proactively reach out to customers for follow-ups, updates, or issue resolutions.</li>
</ul><p><strong>Issue Resolution</strong></p><br><ul>
<li>Assist customers in resolving program or service-related issues, providing accurate information and solutions.</li>
<li>Escalate complex issues to higher-level support or management as needed, ensuring timely resolution.</li>
</ul><p><strong>Product/Service Knowledge</strong></p><br><ul><li>Stay updated on program/service updates to provide informed assistance by timely completion of self-directed learning modules and active engagement in team huddles and meetings.</li></ul><p><strong>Communication</strong></p><br><ul>
<li>Communicate with customers in a clear, concise, and professional manner, ensuring understanding and satisfaction.</li>
<li>Practice active listening to fully understand customer needs and concerns.</li>
<li>Demonstrate empathy and understanding towards customers, especially when dealing with complaints or challenging situations.</li>
<li>Exercise patience when interacting with customers to ensure a positive experience.</li>
</ul><p><strong>Customer Education</strong></p><br><ul>
<li>Educate customers about program features, usage, policies, and procedures.</li>
<li>Guide customers on utilizing self-service options and online resources.</li>
</ul><p><strong>Compliance</strong></p><br><ul>
<li>Ensure compliance with company policies, procedures, and service standards.</li>
<li>Manage time effectively by maintaining commitment to published schedules and ensuring timely responses and resolutions to customer inquiries.</li>
<li>Prioritize tasks based on urgency and importance.</li>
</ul><p><strong>Qualifications:</strong></p><br><p>• Diploma in Business Administration, Communications, or a related field</p><br><p>• Bachelor’s degree is a plus “Students are also encouraged to apply”</p><br><p><strong>Years of Experience:</strong></p><br><p>Less than a year of experience “a high-volume call center environment preferred”</p><br><p>Fresh graduates and students are also encouraged to apply.</p><br><p><strong>Competencies / Behavioral Requirements:</strong></p><br><p>• Strong problem-solving skills with the ability to de-escalate tense situations.</p><br><p>• High attention to detail and reliable in follow-up.</p><br><p>• Self-motivated with a strong sense of initiative and independence.</p><br><p>• Able to work in a dynamic, fast-paced team environment.</p><br><p><strong>Technical Requirements:</strong></p><br><p>• Basic understanding of CRM systems and call center tools.</p><br><p>• Ability to navigate and update client records with accuracy and efficiency.</p><br><p>• Fluent English speaker (verbal and written).</p><br><p><strong>What we offer:</strong> </p><br><ul>
<li>Comprehensive health insurance </li>
<li>Competitive compensation package </li>
<li>Prime central location </li>
<li>Discounts on food, beverages, and wellness services </li>
<li>Continuous learning and development opportunities </li>
<li>A dynamic, inclusive, and supportive work environment </li>
<li>A workplace led by Gen Z and Millennials </li>
</ul><p><strong>Employment type:</strong> </p><br><ul>
<li>Full-time </li>
<li>On-site </li>
</ul><p><strong>Working days:</strong> </p><br><ul>
<li>Monday to Friday: Night Shift </li>
<li>6th day: Based on need, managed fairly based on priorities and urgency </li>
</ul><p><strong>Ready to make your mark?</strong> </p><br><p>Apply now for a career that merges your talents with innovation. At <strong>WUDUH</strong>, your journey to a fulfilling career is just a click away! </p><br><p>Learn more at <strong><em>wuduh.zenats.com</em></strong> </p><br><p><strong>Students and fresh graduates are encouraged to apply. </strong> </p><br><p><em>Eligibility is limited to Jordanian nationals and individuals born to Jordanian mothers.</em> </p><br><p><strong>Stay connected</strong> </p><br><p><em>We invite you to follow us on our social media platforms to stay updated on the latest news, events, and career opportunities at </em><strong><em>WUDUH</em></strong><em>. </em> </p><br><p><em>You can find us on: </em> </p><br><ul>
<li>
<em>LinkedIn</em> </li>
<li>
<em>Instagram</em> </li>
</ul><p><em>Wuduh is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of gender, race, religion, or disability.</em></p><br>
<br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Oxfam is a global movement of people who won t live with the injustice of poverty. Together we save and rebuild lives in disasters. We help people build better lives for themselves. We speak out on the big issues that keep people poor, like inequality, discrimination against women and climate change. And we won t stop until every person on the planet can live without poverty.</p>
<p>The Regional Platform (RP) of Oxfam in the South West Asia and North Africa (SWANA) has a mandate to:</p>
<ul>
<li>Provide strategic leadership, management & accountability of and to Oxfam country programmes in SWANA.</li>
<li>Deliver regional impact, developing partner relationships, brand, and impact in the region through relevant influencing and advocacy work, public engagement, and programming.</li>
<li>Connect, coordinate, convene Connect practitioners to sources of expertise, convene people to share knowledge and learnings, and coordinate capacity building initiatives.</li>
<li>Enable operational agility and efficiency Provide support to Oxfam country offices.</li>
</ul>
<p>In SWANA, Oxfam works in development, humanitarian, and campaigning, with a large part of the current transformation focused on becoming a major influencing & advocacy, knowledge-for-impact global reach organization.</p>
<p>Job Responsibilities</p>
<p>Oxfam is seeking to hire a Regional Climate Justice Advisor, dedicated to advancing Oxfam s global Climate Justice strategy, in the SWANA region. S/he will focus on advancing climate justice priorities. In this role, the person will serve as a focal point for both programme and influencing colleagues across SWANA countries, the region and within the wider confederation on a broad range of topics, such as climate adaptation work, mitigation, climate finance, climate policy, green energy, climate smart agriculture, among others and to contribute to key regional policy discussions around climate policy transitions.</p>
<p>These are the main responsibilities under this position:</p>
<p>Programme Development and Fundraising, Implementation and Partnerships</p>
<ul>
<li>Work with country and regional teams, affiliates and other Oxfam stakeholders to develop concept notes and proposals for funding from donors including institutional donors, foundations, corporations, and UN agencies.</li>
<li>Ensure Climate Justice is mainstreamed in major country and multi-country initiatives led by Oxfam in SWANA.</li>
<li>Ensure the work around climate justice in the region contributes to and supports civil society across the region, in particular grass roots organizations that are aligned with our objectives</li>
<li>Act as key focal point with civil society in the region on Climate Justice;</li>
<li>In coordination and collaboration with SWANA RP colleagues, to co-lead on activities included in regional EU-funded programme Ecologies of Culture that are directly related to CJ.</li>
</ul>
<p>Policy, Advocacy and Representation</p>
<ul>
<li>In close collaboration with Oxfam in SWANA influencing team, provide strategic support to country level influencing work that is focused on climate policies, or leveraging these at regional or global levels, linking to Oxfam campaigns.</li>
<li>Support a targeted regional policy and advocacy agenda in close coordination with the Oxfam in SWANA influencing teams, that aims to both grow Oxfam s voice on climate issues in the region while advancing critical priorities.</li>
<li>Ensure engagement with key stakeholders internally and externally working on Climate justice, identifying key messaging, and positioning for Oxam s work in SWANA.</li>
<li>Act as SWANA focal point on climate policy processes such as COPs and inform and help in shaping Oxfam s global COP strategies;</li>
<li>Represent Oxfam in SWANA in climate justice spaces across the confederation and externally as relevant.</li>
</ul>
<p>Strategy, Leadership and Learning</p>
<ul>
<li>Advise and support CO's efforts to develop specific Climate Justice strategies, approaches, or components in their programmes, in line with the Oxfam priorities.</li>
<li>Stay well-informed of global and regional conversations around this issue and linkages with other workstreams Oxfam is engaged in (inequalities, just economies, accountable governance, gender justice) and provide informed advice on these.</li>
<li>Foster learning across country and regional Oxfam teams, as well as partners and allies through the development of a targeted learning agenda, research and evidence building initiatives.</li>
<li>Support the integration of climate justice and resilience approaches into humanitarian preparedness, response and recovery programming across the region</li>
</ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>NA</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>About the Opportunity We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.<br> This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale.<br> The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications.<br> This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.<br> Role Overview We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably.<br> This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms.<br> Your success will be measured by the productivity and reliability gains you enable for other engineers.<br> You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.<br> At the staff level, you will: Define and evolve the technical foundations of the AI platform Build systems that accelerate engineering teams across the organisation Set standards for reliability, security, and scalability Lead architecture decisions and evaluate emerging technologies Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow Key ResponsibilitiesAI Platform Infrastructure Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies Build and manage vector infrastructure, embedding pipelines, and retrieval systems Develop data pipelines for document ingestion, transformation, and storage Own deployment platforms, CI/CD pipelines, and infrastructure-as-code Observability & Reliability Build observability across the AI stack, including latency, throughput, and model behavior monitoring Define SLOs, perform capacity planning, and lead reliability engineering initiatives Lead incident response, root-cause analysis, and postmortems Establish platform standards for operational excellence Force Multiplication Build reusable internal tooling, SDKs, and deployment patterns Partner with engineering teams to translate infrastructure needs into scalable platform capabilities Mentor engineers and raise technical standards across the organisation Basic Qualifications 10+ years of platform, infrastructure, or backend engineering experience Proven experience operating at staff or principal engineer level Deep expertise in Azure (AWS or GCP also valued) Strong Kubernetes and Docker experience Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code Experience building production data pipelines Proficiency in Python, Java/Kotlin, or Go Strong PostgreSQL knowledge at production scale Experience with distributed tracing, metrics, logging, and alerting Practical use of AI coding assistants such as Codex or Claude Code Excellent written and verbal communication skills Preferred Qualifications Experience building RAG systems and retrieval infrastructure Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks Hands-on experience with GPU-based inference infrastructure Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate Familiarity with LLM inference optimization and evaluation frameworks Experience with speech and conversational AI systems Experience building internal developer platforms Security and compliance experience in highly regulated environments Technology Stack Backend & Platform: Python, Java, Kotlin, Go, REST, gRPC AI Infrastructure: vLLM, TGI, TensorRT-LLM, GPU Serving AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage Infrastructure: Azure, Docker, Kubernetes, Terraform, CI/CD Observability: Langfuse, Grafana, Prometheus, OpenTelemetry Security: Entra ID, RBAC, Secrets Management, Zero Trust AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Thinks in systems and enables others to move faster Designs infrastructure that is reliable, scalable, and easy to operate Grounds technical decisions in evidence and operational data Raises engineering standards through architecture and mentorship Communicates clearly and transparently Embraces AI-native development practices Why Apply?<br> This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi.<br> You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>About the Opportunity We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.<br> This organisation is creating AI-powered products and platforms that will transform public services across the Emirate.<br> The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.<br> This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.<br> Role Overview We are looking for a Senior AI Product Engineer to own the end-to-end delivery of AI-powered products.<br> You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users.<br> This role combines applied AI engineering with strong product judgment.<br> You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.<br> At the senior level, you will: Own AI product features from concept through production Build and optimize RAG pipelines and agent-based systems Develop backend services and modern user interfaces Make sound technical and product decisions Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow Key ResponsibilitiesEnd-to-End AI Product Development Design and build AI-powered assistants, copilots, and automation tools Architect Retrieval-Augmented Generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking Develop agent-based workflows with tool use, planning, and multi-step reasoning Build reusable AI components and integration libraries for multiple products Full-Stack Engineering Build React and Next.<br>js interfaces with streaming responses and conversational experiences Develop backend APIs and services in Python, Java/Kotlin, or Node.<br>js Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant Instrument AI systems using Langfuse and Grafana for tracing and observability Product Ownership & Engineering Excellence Evaluate product requirements and ensure solutions solve the right problems Optimize systems for reliability, latency, and user trust Document technical decisions and architecture clearly Mentor engineers and contribute to engineering best practices Basic Qualifications 7+ years of software engineering experience Proven experience shipping end-to-end product features across AI, backend, and frontend layers Strong proficiency in Python and experience building LLM-powered systems Solid React fundamentals, including state management, accessibility, and performance Experience building production APIs in Python, Java/Kotlin, or Node.<br>js Working knowledge of PostgreSQL and relational schema design Understanding of common LLM production challenges such as hallucination, latency, and context degradation Practical use of AI coding assistants such as Codex or Claude Code Strong system design, testing, debugging, and performance optimization skills Preferred Qualifications Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI Experience designing streaming APIs with SSE or WebSockets Strong familiarity with Next.<br>js, Tailwind CSS, TanStack Query, and Zustand Experience deploying AI applications on Azure using Docker and CI/CD pipelines Familiarity with vector databases such as Qdrant or pgvector Experience working in government, public sector, financial services, or other regulated environments Technology Stack Frontend: React, Next.<br>js, Tailwind CSS Backend: Python, Java, Kotlin, Node.<br>js AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage Observability: Langfuse, Grafana Infrastructure: Docker, Azure, CI/CD pipelines AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Takes ownership across the full product lifecycle Balances technical depth with strong product judgment Builds AI products that users trust in production Makes evidence-based decisions Communicates clearly and proactively Embraces AI-native development practices Why Apply?<br> This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.<br> You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.<br></span> </div>
<p>Requirements Needed Competencies Technical expertise integrating and tuning security scanners in CI/CD pipelines (Azure DevOps ideal): SAST, DAST, SCA, secrets, IaC. Technical expertise in DAST (OWASP ZAP or equivalent) and semantic SAST engines (Semgrep / CodeQL) on TypeScript / React / Node codebases. Technical expertise in SIEM detection engineering (Microsoft Sentinel and/or Wazuh / Elastic): writing detections, correlation, alert tuning, and playbooks. Technical expertise in Kubernetes / AKS security and runtime detection (Falco / Defender for Containers), network policies, and Pod Security Standards. Technical expertise in vulnerability management: aggregation / dedup, risk-based SLAs, and triage (DefectDojo or equivalent). Technical expertise in Azure security fundamentals: Defender for Cloud, Entra ID / RBAC, Key Vault, and edge WAF (OWASP ruleset). Solid grounding in OWASP Top 10, TLS / PKI, authentication protocols, and API security. Strong decision-making capabilities to weigh the relative costs and benefits of controls and prioritize risk-based remediation. Ability to produce clean, audit-ready evidence for SOC 2 and/or PCI DSS control requirements (supporting, not running, the audit). Builderu2019s mindset: OSS-first, iterating toward managed services. Clear communicator: able to translate risk for engineers and executives, with strong written English and documentation. Collaborative: drives secure-by-default practices through the DevOps and engineering teams rather than owning infrastructure directly. Education Bacheloru2019s on Computer Science, Information Technology, or a related field is recommended as a reasonable default, to be confirmed. Experience 4u20137 years in security engineering, DevSecOps, or application security, with hands-on experience building and tuning security controls. Comfortable partnering with DevOps / platform teams rather than owning infrastructure directly. Knowledge, Skills and Abilities Excellent written and spoken English; able to translate risk clearly for both engineers and executives. Experience preparing an organization for a first SOC 2 Type II or PCI DSS assessment (nice-to-have). Familiarity with GRC / continuous-compliance platforms (Vanta, Drata); policy-as-code (OPA / Conftest); threat modeling (nice-to-have). Preference for OSS-first security tooling with a managed Azure-native upgrade path. Effective listening and multi-tasking capabilities across concurrent security workstreams. Preferences Certified Kubernetes Security Specialist (CKS) Microsoft SC-200 Microsoft AZ-500 OSCP CEH PCI ISA / PCIP CISSP / CISM Travel Up to 15% Work Schedule Mondayu2013Friday, 10:00 AM u2013 7:00 PM (or as agreed). Hybrid work model, demand-based.</p><p><strong>Desired Candidate Profile</strong></p><p>Technical expertise integrating and tuning security scanners in CI/CD pipelines (Azure DevOps ideal): SAST, DAST, SCA, secrets, IaC. Technical expertise in DAST (OWASP ZAP or equivalent) and semantic SAST engines (Semgrep / CodeQL) on TypeScript / React / Node codebases. Technical expertise in SIEM detection engineering (Microsoft Sentinel and/or Wazuh / Elastic): writing detections, correlation, alert tuning, and playbooks. Technical expertise in Kubernetes / AKS security and runtime detection (Falco / Defender for Containers), network policies, and Pod Security Standards. Technical expertise in vulnerability management: aggregation / dedup, risk-based SLAs, and triage (DefectDojo or equivalent). Technical expertise in Azure security fundamentals: Defender for Cloud, Entra ID / RBAC, Key Vault, and edge WAF (OWASP ruleset). Solid grounding in OWASP Top 10, TLS / PKI, authentication protocols, and API security. Strong decision-making capabilities to weigh the relative costs and benefits of controls and prioritize risk-based remediation. Ability to produce clean, audit-ready evidence for SOC 2 and/or PCI DSS control requirements (supporting, not running, the audit). Builderu2019s mindset: OSS-first, iterating toward managed services. Clear communicator: able to translate risk for engineers and executives, with strong written English and documentation. Collaborative: drives secure-by-default practices through the DevOps and engineering teams rather than owning infrastructure directly. Education Bacheloru2019s on Computer Science, Information Technology, or a related field is recommended as a reasonable default, to be confirmed. Experience 4u20137 years in security engineering, DevSecOps, or application security, with hands-on experience building and tuning security controls. Comfortable partnering with DevOps / platform teams rather than owning infrastructure directly. Knowledge, Skills and Abilities Excellent written and spoken English; able to translate risk clearly for both engineers and executives. Experience preparing an organization for a first SOC 2 Type II or PCI DSS assessment (nice-to-have). Familiarity with GRC / continuous-compliance platforms (Vanta, Drata); policy-as-code (OPA / Conftest); threat modeling (nice-to-have). Preference for OSS-first security tooling with a managed Azure-native upgrade path. Effective listening and multi-tasking capabilities across concurrent security workstreams. Preferences Certified Kubernetes Security Specialist (CKS) Microsoft SC-200 Microsoft AZ-500 OSCP CEH PCI ISA / PCIP CISSP / CISM</p>
<p><h4>Description</h4>
<p><strong>Who are we?</strong><br>
We are Foodics! A leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarters in Riyadh and offices across five countries, including UAE, Egypt, Jordan, and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far, making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also, Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.</p>
<h4>The job in a nutshell</h4>
<p>The Group Head of Accounting owns the integrity, accuracy, and timeliness of the group's financial records across a multinational, multi-entity SaaS and FinTech business. The role supports group consolidation, IFRS-compliant financial reporting, and the external audit process. Based in Amman, it provides dedicated support to the group's operations in KSA while overseeing accounting across all entities. It combines deep technical accounting expertise — particularly around subscription revenue, financial instruments, intercompany and transfer pricing complexity — with the leadership to standardize processes and build a high-performing finance function across multiple jurisdictions and currencies.</p>
<h4>What will you do?</h4>
<p><strong>Group consolidation & financial reporting</strong></p>
<ul>
<li>Support the monthly, quarterly, and annual consolidation of all group entities, including intercompany eliminations, multi-currency translation, and minority interests.</li>
<li>Oversee intercompany transactions and transfer pricing arrangements, ensuring correct accounting treatment and supporting documentation across jurisdictions.</li>
<li>Produce accurate, timely consolidated financial statements in full compliance with IFRS.</li>
<li>Maintain the group reporting calendar and drive a faster, more reliable close.</li>
<li>Bridge local GAAP/statutory results to group IFRS reporting where entities report under differing standards.</li>
</ul>
<p><strong>Technical accounting (IFRS)</strong></p>
<ul>
<li>Act as the group's technical accounting authority on IFRS application and policy.</li>
<li>Own revenue recognition under IFRS 15 for subscription, usage-based, and multi-element SaaS contracts, including deferred revenue and ARR/MRR reconciliation to the GL.</li>
<li>Govern capitalization of internally developed software (IAS 38) and lease accounting (IFRS 16).</li>
<li>Maintain a group accounting policy manual and ensure consistent application across entities.</li>
</ul>
<p><strong>External audit & compliance</strong></p>
<ul>
<li>Lead the group external audit and coordinate statutory audits across all jurisdictions.</li>
<li>Serve as primary liaison with external auditors, managing timeline, deliverables, and resolution of findings.</li>
<li>Ensure statutory filing obligations are met on time in every jurisdiction.</li>
<li>Strengthen the internal control environment over financial reporting.</li>
</ul>
<p><strong>Budgeting & reporting</strong></p>
<ul>
<li>Lead the annual budgeting process and periodic reforecasts across all entities.</li>
<li>Deliver insightful monthly management reporting with variance analysis.</li>
<li>Track and report key SaaS/FinTech metrics (ARR, MRR, churn, gross margin) in alignment with statutory results.</li>
</ul>
<p><strong>Process, systems & standardization</strong></p>
<ul>
<li>Support the adoption of AI and automation across the accounting function, identifying, evaluating, and implementing tools that streamline the close, automate reconciliations and intercompany matching, surface anomalies, and improve the speed and accuracy of reporting.</li>
<li>Standardize the chart of accounts, processes, and close procedures across the group.</li>
<li>Drive automation and improvement of the ERP/consolidation tooling.</li>
<li>Implement scalable controls that support rapid entity growth and new market entry.</li>
</ul>
<p><strong>Leadership & people</strong></p>
<ul>
<li>Build, lead, and develop a geographically distributed accounting team.</li>
<li>Set performance standards, mentor talent, and foster a culture of accuracy and accountability.</li>
</ul>
<h4>What we offer you?</h4>
<p>We believe you will love working at Foodics!<br>
We offer highly competitive compensation packages, including bonuses and the potential for shares.<br>
We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.<br>
Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.<br>
We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</p>
<h4>What are we looking for?</h4>
<ul>
<li>Professional accounting qualification (ACA, ACCA, CPA, or equivalent).</li>
<li>10+ years of progressive accounting experience, including significant time at group/consolidation level.</li>
<li>Proven experience leading group consolidation for a multinational, multi-entity, multi-currency business.</li>
<li>Strong, demonstrable IFRS technical expertise, including IFRS 15 revenue recognition.</li>
<li>Audit and/or accounting training gained at a Big Four firm.</li>
<li>Fluent, business-level English (written and verbal).</li>
<li>Track record of leading and developing finance teams.</li>
<li>Authoritative command of IFRS and complex consolidation.</li>
<li>Strong analytical skills and process orientation.</li>
<li>Effective leadership of distributed teams across cultures and time zones.</li>
<li>Resilience and reliability under tight close and audit deadlines.</li>
</ul>
<h4>Who will excel?</h4>
<ul>
<li>Experience in SaaS, subscription, or FinTech/regulated financial services businesses.</li>
<li>Exposure to GCC/MENA reporting and regulatory environments, particularly KSA.</li>
<li>Working knowledge of transfer pricing principles, documentation, and intercompany arrangements.</li>
<li>Experience leading or supporting an ERP migration or implementation (e.g. Oracle to SAP).</li>
<li>Experience scaling finance operations through rapid growth, fundraising, or M&A.</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>
<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>
<p>Serve under the direction of Power Plant Supervisor to operate and maintain power plant/spot power generators & equipment Promote and maintain safety following established safe work practices and procedures Report to the Supervisor on all special occurrences such as emergency outages and corrective actions taken to maintain service. Anticipate unscheduled load changes, and detect early indications of power generating equipment malfunctions in order to maintain continuous service Troubleshoot and make comparable major repairs to Gensets, powered support systems, vehicles, and other major components (e.g., engines, generators, alternators, gears, compressors, and hydraulic, pneumatic, electrical components) Rebuild and/or overhaul-to include top end, in frame and complete Gensets, powered support systems, and other major components (e.g., engines, generators, alternators, gears, compressors, hydraulic, pneumatic and 12/24vdc electrical components Assist in the control and distribution of the mechanical and electrical makeup and operation of powered support systems such as those described above, including their major mechanical, electrical, hydraulic, and pneumatic components Troubleshoot and repair diesel, gasoline, and/or multi-fuel engines (e.g., PMCS, break down repairs, periodic maintenance, and overhauling those of 3 to 16 cylinders and up to 2MW of power) When power production malfunctions occur and to ensure personnel and equipment safety, assist to isolate generator/s and bypass fault in order to maintain service or take actions to shed low priority loads when full service cannot be maintained Ensure correct testing and isolation procedures are followed before working on de-energized High Voltage Networks or Switchgear When workload/mission/staffing levels dictate, assist with daily Power Plant operations to include bringing online/offline gensets, synchronizing/paralleling gensets, taking hourly generator readings, fueling in power plant environment, electrical distribution installation/maintenance, facility maintenance, housekeeping, etc. When workload/mission/staffing levels dictate, assist with MV/LV electrical/Power Plant operations teams with installation/removal of electrical distribution equipment Fill in required genset service/periodic maintenance/repair documents/reports and turn over to Lead Power Plant Supervisor Ensure required documentation/reporting is submitted in a timely manner Request/retrieve service/maintenance/repair parts/components from Prime Contractor Consolidated Material Warehouse and transport to genset/power plant service/repair location Attend/deliver daily Safety meetings/stand downs IAW with VGS and Prime contractor policies Most senior Power Gen Mechanic and Team leader for power generating equipment in spot gen or power plant environment at assigned work location Take ownership of Power Plant generator fleet to ensure repairs, maintenance, overhauls, etc. are performed with utmost of quality/safety in mind and IAW manufacturer's service/maintenance recommendations Assist Prime contractor Procurement/Materials staff with acquiring repair parts/consumables by supplying Genset model data, part numbers, descriptions and technical oversight when required Willingness to attend formal OEM specific genset and/or controls training Accountability for power gen mechanic staff, tools, manuals, and gen set status-FMC/NMC Ensure less experienced members of power gen mechanic team are performing services/minor repairs to high quality standards and IAW manufacturer's recommendations Ensure power generator staff are performing service/maintenance/repair duties IAW US Military, Prime Contractor, Host Nation and VGS Environmental/Hazmat policies and procedures Attend VGS EHS (Electrical Health & Safety) training and establish a status of CP (Competent Person), AP (Authorized Person) or SAP (Senior Authorized Person) Thorough understanding of oil sample analysis process as well as interpretation of oil analysis reports Operate/perform within the behavioral guidelines/policies/procedures put forth by USG, US Military Command, Host Nation, Prime Contractor and VGS Execute the company s policy and procedure for proper and efficient operation of the power plants and distribution network to support AFCAP Duties will involve work in the outdoors with a potential exposure to arid climatic conditions including extreme temperatures in the summer months Must be able to work overhead with arms raised for extended periods. As directed by the Power Plant Supervisor</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Must have computer skills and be able to operate a variety of computer programs.</li><li>Must be able to speak, read and write English fluently</li><li>Must maintain a valid driver s license from their home country with validity for 12 months from on-site employment date</li><li>Must maintain a valid passport from their home country with validity for 12 months from on-site employment date. Passport must have a minimum of 6 blank pages prior to OCONUS mobilization.</li><li>To perform this job Must satisfy the AFCENT Force Health Protection Guidance medical requirements for AFCENT prior to OCONUS mobilization, must be able to maintain a Medically Qualified (MQ) rating on an annual basis.</li><li>Must meet the host nation COVID-19 entry requirements; COVID-19 vaccination(s), fully inoculated and Booster.</li><li>Must be CAC eligible and able to gain and maintain authorized entry onto US military installations.</li><li>satisfactorily, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform essential job functions.</li></ul><b>Desired Qualifications</b><ul><li>Experience in medium to large scale operation, maintenance and complete overhaul of prime power diesel gensets (50-60 liter engines)</li><li>Cummins Mech III Mechanic Certification or equivalent</li><li>Cummins Certification for KTA50 engines and PCC3300 controllers or equivalent</li><li>High skill level with Cummins InPower or equivalent</li></ul><b>Additional Required Qualifications</b><ul><li>Must be CAC eligible</li><li>Must hold a security clearance and/or be eligible to obtain one</li><li>Experience in maintenance, repair, operation and troubleshooting of genset systems (fuel, induction, cooling, controls, exhaust, engine internal & peripheral) of gen sets ranging from 15Kw to 2Mw</li><li>Experience using all types hand and power tools, shop equipment such as hydraulic presses, drill presses, hydraulic, electric or pneumatic lifting devices, etc</li><li>Experience using all types of measuring devices such as Vernier calipers, micrometers, dial bore gauges, etc</li><li>Experienced in working with other technical staff</li><li>Ability to read and use technical manuals, illustrations, diagrams, schematics, and similar guides covering the complete assembly, troubleshooting, and layout of power generators and/or support systems</li><li>Experienced working in international work environments with expatriate or US military</li><li>A thorough knowledge of the mechanical and electrical makeup and operation of powered support systems such as those described above, including their major mechanical, electrical, hydraulic, and pneumatic components including: Standard Diesel generators, Controls to include genset synchronizing and paralleling, genset communication/monitoring systems such as PULSE SCADA and Switchgear</li><li>Proactive nature and strong interpersonal skills in collaborating, communicating and working with (1) Other senior managers and staff (to include Site management team), (2) Local and International subcontractors; (3) US Military representatives; and (4) Local officials as required</li><li>Must be willing and able to perform physical activities including heavy lifting, climbing in and out of equipment, crawling and working outdoors.</li><li>Must be willing and able to lift and move items, parts assemblies and equipment up to the safety regulation maximum.</li><li>Ability to follow troubleshooting procedures and use deductive reasoning to isolate the fault; and provide step by step feedback on all steps taking</li><li>Able to take specific verbal and written directions and carryout directions from the supervisor. Decisions made are covered by specific, well-established work methods and procedures In the event problems arise, mechanics at this level are able take corrective action in accordance with instructions or notify their supervisor</li><li>Experience in providing prime power O&M Services to clients</li><li>Hands on inspect, test, and repair components of electrical systems to include generators, transformers, transfer switches, switch gear, PLC controls, and fuel monitoring and delivery systems</li><li>Knowledge and experience regarding occupational hazards for electrical and mechanical trades, related safety practices, and skill required for the installation, maintenance, and repair of power generator systems and equipment</li><li>Basic knowledge and trained with current certification of First Aid & CPR</li><li>Must rescue an injured victim from an electrical conductor</li><li>Must know Lockout/Tagout Procedures</li><li>Ability to read, comprehend/understand and apply information contained in manufacturer equipment manuals, facility document including drawings and specification, operation and maintenance manuals, standard operating and emergency response procedures, material safety data sheets, etc</li><li>Ability to interpret and apply required corrective action with data readings and results of equipment checks to identify equipment or process problems and take appropriate responses to correct or resolve problems</li><li>Specific understanding and knowledge of power generation equipment startup and shut down and basic equipment maintenance procedures as they relate to the power generation equipment and/or auxiliary operator</li><li>Must have knowledge of use and proper application of Personal Protective Equipment</li><li>Basic skill level with Microsoft Word, Outlook and Excel is required. Intermediate level is preferred</li><li>10+ years as Lead Generator Mech III</li><li>Provide Certificates and/or willingness to attend formal training</li></ul><b>Role Characteristics</b><ul><li>Great interpersonal skills.</li><li>Customer service oriented.</li><li>Team player.</li><li>Ability to multi-task.</li></ul>