وظائف مشرف معماري في الأردن

</span></i></b></span></span></p> <p dir="RTL" ><b><span >شركة مقاولات إنشائية تطلب عدد من الموظفين للعمل معها في احدى المشاريع في محافظة معان – الشيدية حسب الشروط التالية: </span></b><b><span dir="LTR" ></span></b></p> <p align="center" dir="RTL" ><b><span >مهندس موقع</span></b></p> <p align="center" dir="RTL" ><span >حاصل على شهادة بكالوريوس هندسة مدنية</span></p> <p align="center" dir="RTL" ><span >بخبرة لا تقل عن 5 سنوات في مجال المقاولات</span></p> <p align="center" dir="RTL" ><b><span >مراقب فني</span></b></p> <p align="center" dir="RTL" ><span >حاصل على شهادة دبلوم هندسة مدنية</span></p> <p align="center" dir="RTL" ><span >بخبرة لا تقل عن 10 سنوات في مجال مقاولات الابنية<span dir="LTR" ></span></span></p> <p align="center" dir="RTL" ><b><span >على من يجد في نفسه الكفاءة ارسال الشهادات العلمية والعملية والسيرة الذاتية الى الايميل</span></b></p> <p align="center" dir="RTL" ><span ><a href="mailto:rulafaz9@gmail.com"><b><span dir="LTR" >rulafaz9@gmail.com</span></b></a><b><span ></span></b></span></p>

</span></i></b></span></span></p> <p align="center" dir="RTL" ><b><span >مطلوب للعمل لدى شركة صناعية</span></b><b><span > في عمان</span></b><b><span dir="LTR" ></span></b></p> <p align="center" dir="RTL" ><b><span >مشرف سلامه وصحه مهنيه (المستوى الفني)</span></b></p> <p align="center" dir="RTL" ><span >حاصل على شهادة مزاولة مهنه معتمده من وزارة العمل.<span dir="LTR" ></span></span></p> <p align="center" dir="RTL" ><span >مؤهل تعليمي دبلوم كلية مجتمع كحد اعلى</span></p> <p align="center" dir="RTL" ><span >لا يشترط الخبرة</span></p> <p align="center" dir="RTL" ><span >أردني الجنسية</span></p> <p align="center" dir="RTL" ><span >سكان عمان<span dir="LTR" ></span></span></p> <p align="center" dir="RTL" ><b><span >يرجى ارسال السيرة الذاتية على</span></b></p> <p align="center" dir="RTL" ><b><span ><a href="mailto:vacancies111@yahoo.com"><span dir="LTR" >vacancies111@yahoo.com</span></a></span></b><b><span dir="LTR" ></span></b></p>

<p>تدعو شركة الموسوعة للاستشارات الهندسية و الإدارية الراغبين في العمل ومن كلا الجنسين ومن جميع محافظات المملكة و من يمتلك المؤهلات المطلوبة للتقديم الى فرص العمل المعلنه<br>ملاحظة: ان الشركة مسؤولة عن استحصال التصاريح و الموافقات المطلوبة من الجهات الرسمية<br>&nbsp;</p><p><br>مدة التقديم: 20 يوم من تاريخ الاعلان سيتم ايقاف استلام السير الذاتية في الرابع من تموز 2026</p><p>(field supervisor) المطلوب: مشرف ميداني<br>002/2026رقم الاعلان<br>الهدف من الإعلان<br>جمع البيانات و المعلومات المتعلقة بخدمات المياه و الاصحاح البيئي بشكل احترافي و ضمن المعايير المهنية المعتمدة وذلك من خلال القيام بالمسوحات الميدانيه و تعبئة استمارات الاستبيان باستخدام أجهزة الموبايل او التابلت و ذلك من خلال القيام بزيارات منزلية الى المجتمعات الأردنية و مخيمات اللاجئين و اجراء مقابلات مع ممثلي الجمعيات المحلية و مزودي خدمات المياه و الاصحاح البيئي حيث يشمل العمل الاتي<br>تدقيق خطط العمل اليومي و المعده من فرق جمع البيانات خصوصا فيما يتعلق بكيفية تحديد العينات وضمان مطابقتها للمعايير و المحددات المطلوبه مسبقا فيما يتعلق بالتمثيل العادل و التغطية الشاملة<br>التنسيق مع الجهات المحلية و ذات العلاقة لحركة فرق جمع البيانات<br>اعداد خطة العمل اليومي و المتعلقه بجمع البيانات و الاستبيان<br>توزيع واجبات فرق العمل الخاصه بجمع البيانات بشكل يومي من خلال التواصل مع الفرق مع الالتزام بالخطة المعده مسبقا و بالجداول<br>الزمنيه المحدده<br>التأكد من جاهزية الفرق الميدانية و الاشراف الميداني على عمل فرق جمع البيانات و الاستبيان و بشكل يومي و تيسير و تسهيل عمل الفرق الميدانيه<br>متابعة سير عمل الفرق الميدانية من خلال التواصل و الحضور مع المساحين اثناء جمع البيانات و التأكد من التزامهم بالمعايير المهنية و<br>الاحترافية و دقة جمع البيانات و التحقق من الأداء النوعي للفرق و طريقة جمع البيانات و صحتها<br>اعداد تقارير يومية ترسل الى المنسق الميداني توضح سير العمل و نسبة الإنجاز و التبليغ عن أي تحديات او خروقات او معوقات حدثت<br>المؤهل الدراسي: الحد الأدنى حاصل على شهادة الدبلوم<br>أيام العمل : من ال8 صباحا و حتى ال5 مساءا ستة أيام في الاسبوع<br>الخبرة: خمس سنوات عمل كحد ادنى في الاشراف مع خبرة لا تقل عن سنة واحده في الاشراف الميداني في مجال جمع البيانات و القيام<br>بالمسوحات الميدانيه و العمل مع المنظمات و الجمعيات الإنسانية<br>القدرة على تحليل البيانات و المعطيات و تقديم الدعم الفني<br>kobo معرفه استخدام أجهزة التابلت و استخدام نظم الاسبيانات الكوبو<br>القدرة على العمل ضمن ظروف عمل صعبه و الالتزام بتوقيتات و جداول زمنية محدده<br>كما يتطلب العمل الوصول الى مناطق بعيده و نائية<br>قوة الملاحظة ودقة في جمع المعلومات و مقدره عالية على الانتباه على التفاصيل<br>خبرة في الاشراف الميداني و إدارة العمل و توزيع الواجبات و حل الخلافات<br>مقدره في التواصل و التعامل و ابتكار الاليات و الحلول و تجاوز المعوقات و التنسيق العالي و معالجة الأخطاء و ووضع خطط لتلافيها و<br>معالجتها بشكل مباشر و سريع<br>المقدرة على العمل ضمن فريق<br>معرفه باللغة الانجليزية<br>التوزيع الجغرافي: كافة المحافظات والاقضية و التجمعات السكنية في جميع انحاء المملكة بالإضافة الى مخيمات اللاجئين السوريين<br><br>ملاحظة هامة: يكون التنقل بين المحافظات و الاقضية والمناطق من مسؤولية المشرف (الشركة غير مسؤولة عن توفير وسائط النقل)</p>

</span></i></b></span></span></p> <p align="center" ><b><span >A Leading Consulting Company in Jordan is seeking qualified candidates for the following positions:</span></b></p> <p align="center" ><b><span >Landscape Architect Engineer</span></b></p> <p align="center" ><span >Experience: 3–5 years</span></p> <p align="center" ><b><span >ELV & Telecom Engineer</span></b></p> <p align="center" ><span >Experience: Minimum 5 years</span></p> <p align="center" ><span >If you meet the above requirements and are interested in joining our team, please send your updated CV to:</span></p> <p align="center" ><b><span ><a href="mailto:Eng@targetjo.com">Eng@targetjo.com</a></span></b></p>

</span></i></b></span></span></p> <p align="center" ><b><span >Job Opportunity | Architect Engineer</span></b></p> <p align="center" ><span >Global Entertainment Manufacturer is looking to hire:</span></p> <p align="center" ><b><span >Architect Engineer</span></b></p> <p ><b><span >Requirements:</span></b></p> <p ><span >Professional proficiency in SketchUp and 3Ds Max.</span></p> <p ><span >1–3 years of relevant professional experience.</span></p> <p ><span >Ability to create 3D models, architectural designs, and high-quality renderings.</span></p> <p ><span >Experience in interior and exterior design and preparing execution drawings.</span></p> <p ><span >Strong teamwork skills with the ability to work under pressure and meet deadlines.</span></p> <p ><span >Experience in entertainment projects, decorations, or manufacturing is a plus.</span></p> <p ><b><span >Location: </span></b><span >Amman - Al Shmeisani</span></p> <p align="center" ><span >Please send your CV and Portfolio to:</span></p> <p align="center" ><b><span ><a href="mailto:jobs@gem-jo.com"><span >jobs@gem-jo.com</span></a></span></b><b><span ></span></b></p>

<p><strong>Job Overview</strong></p><p>We are seeking a motivated BIM Architect to join our design and project delivery team in Amman, Jordan.&nbsp;</p><p>This entry- to mid-level position is ideal for an Associate professional with up to 4 years of experience who is passionate about integrating Building Information Modeling (BIM) into architectural practice.&nbsp;</p><p>You will collaborate with architects, engineers, and project stakeholders to develop accurate, coordinated models that drive efficient design, coordination, and construction documentation.</p><p>&nbsp;</p><p><strong>About the Company</strong></p><p>We are a dynamic architectural and design firm dedicated to delivering innovative, sustainable, and technically proficient projects across various sectors.&nbsp;</p><p>Our multidisciplinary team leverages BIM and digital workflows to enhance collaboration, streamline processes, and ensure high-quality outcomes for clients in Jordan and beyond.</p><p>&nbsp;</p><p><strong>Key Responsibilities and Duties</strong></p><ul><li>Develop and manage BIM models (architectural and integrated disciplines) for a range of project types from concept through construction documentation.</li><li>Coordinate with project teams to ensure model accuracy, clash detection, and timely updates to reflect design changes.</li><li>Assume lead or supporting roles in BIM execution planning, standards enforcement, and model organization according to project requirements.</li><li>Create and maintain detailed 3D visualizations, and BIM deliverables aligned with BIM execution plans (BEP) and client standards.</li><li>Assist in the development of parametric models, families, and libraries to improve efficiency and consistency.</li><li>Participate in design reviews, coordination meetings, and construction documentation reviews with internal and external stakeholders.</li><li>Collaborate with engineers and consultants to resolve coordination issues and ensure interoperability across disciplines.</li><li>Support QA/QC processes for BIM content, data management, and model validation.</li><li>Document BIM processes, standards, and best practices for ongoing projects and onboarding new team members.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>Bachelor’s degree in Architecture .</li><li>0–4 years of professional experience in BIM-enabled architectural design and documentation.</li><li>Proficiency with industry-standard BIM software (e.g., Autodesk Revit) and related tools (e.g., AutoCAD, Navisworks, BIM 360/ACC, Dynamo is a plus).</li><li>Strong understanding of BIM workflows, model management, and data organization within architectural projects.</li><li>Experience with creating and managing families, annotations, scheduling, and visualization in BIM models.</li><li>Knowledge of local building codes, standards, and regulatory requirements in Jordan is advantageous.</li><li>Strong analytical, problem-solving, and communication skills with the ability to work collaboratively in a cross-disciplinary team.</li><li>Detail-oriented with a commitment to accuracy and quality control.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Full Proficiency in Autodesk Revit (Architecture) and BIM-authoring workflows.</li><li>Model management, clash detection, and coordination (Navisworks, BIM 360/ACC).</li><li>2D drafting and 3D visualization, including documentation for construction.</li><li>Data organization, parameterization, and family creation within BIM environments.</li><li>Effective communication, teamwork, and ability to interpret design intent.</li><li>Basic scripting or Dynamo experience is a plus.</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Professional development opportunities, including BIM training and certification support.</li><li>Collaborative team culture with exposure to diverse projects and disciplines.</li><li>Flexible working arrangements where possible and a supportive work environment.</li></ul>

<p>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards. The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects. Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations. Develop architecture blueprints, technical specifications, and solution design documentation. Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements. Provide technical leadership and guidance to development teams throughout the software development lifecycle. Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards. Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements. Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions. Identify technical risks, dependencies, and constraints, and develop mitigation strategies. Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms. Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation. Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Proven experience in solution or technical architecture, software design, and enterprise application development. Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles. Experience with modern development frameworks, databases, and DevOps practices. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively with cross-functional teams and influence technical decisions. Relevant architecture or cloud certifications are considered an advantage.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards.<br> The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects.<br> Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations.<br> Develop architecture blueprints, technical specifications, and solution design documentation.<br> Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements.<br> Provide technical leadership and guidance to development teams throughout the software development lifecycle.<br> Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards.<br> Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements.<br> Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions.<br> Identify technical risks, dependencies, and constraints, and develop mitigation strategies.<br> Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms.<br> Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation.<br> Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.<br> Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Proven experience in solution or technical architecture, software design, and enterprise application development.<br> Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles.<br> Experience with modern development frameworks, databases, and DevOps practices.<br> Excellent analytical, problem-solving, and communication skills.<br> Ability to collaborate effectively with cross-functional teams and influence technical decisions.<br> Relevant architecture or cloud certifications are considered an advantage.<br></span> </div>

<p><h4>Description</h4> <p><strong>About Maqsam</strong><br> Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <p><strong>Your opportunity</strong><br> As a senior AI agent architect, you will play a key role in designing, optimizing, and scaling AI-powered customer experiences for leading businesses across the region. You will be responsible for translating client requirements, business flows, and knowledge bases into reliable, high-performing AI agents that deliver accurate and natural interactions. This role involves structuring and improving knowledge sources, designing prompts and workflows, evaluating AI agent behavior, and continuously enhancing performance through testing and analysis. As the bridge between technical teams and client needs, you will collaborate closely with product, engineering, and customer success teams to ensure AI solutions are practical, scalable, and aligned with business goals. You will also contribute to defining best practices for AI agent architecture, prompt quality, and conversational design while helping shape the future of Arabic AI experiences at Maqsam.</p> <h4>Key responsibilities</h4> <ul> <li>Review client requirements, knowledge base documents, URLs, and business flows to assess readiness for AI agent implementation.</li> <li>Structure and optimize knowledge bases to improve retrieval quality, contextual accuracy, and agent reliability.</li> <li>Design, tune, and iterate on prompts, system messages, and agent instructions to improve response quality.</li> <li>Set up and improve AI agent workflows, actions, and interaction logic.</li> <li>Identify gaps, edge cases, and failure points in AI agent behavior and propose practical improvements.</li> <li>Define testing approaches for AI agents, including stress testing, scenario-based testing, and quality checks.</li> <li>Review testing results and client feedback, then translate them into clear improvements.</li> <li>Collaborate with product, engineering, customer success, and other teams to align AI agent behavior with client needs.</li> <li>Document decisions, issues, and recommendations clearly for internal teams and clients.</li> <li>Help define best practices for AI agent design, knowledge base structuring, prompt quality, and evaluation.</li> <li>Support and guide less experienced team members when needed.</li> </ul> <h4>Who we’re looking for</h4> <ul> <li>Strong technical background with hands-on experience in conversational AI, LLMs, AI agents, or chatbot platforms.</li> <li>Practical experience in prompt engineering, workflow design, automation systems, or AI agent configuration.</li> <li>Good understanding of knowledge base structuring, content quality, and how content impacts AI agent performance.</li> <li>Ability to analyze AI agent behavior, identify root causes of failures, and propose clear solutions.</li> <li>Experience with testing AI systems, including scenario testing, prompt evaluation, or quality assurance.</li> <li>Strong critical thinking and attention to detail.</li> <li>Excellent written and verbal communication skills, especially when explaining technical decisions or giving feedback.</li> <li>Ability to work effectively with cross-functional teams, including product, engineering, customer success, and client-facing teams.</li> <li>At least 2–3 years of relevant work experience is preferred.</li> <li>Experience with RAG systems, MCPs, external tools, APIs, or voice agents is a plus.</li> <li>Ability to work in a fast-changing environment and take ownership of ambiguous problems.</li> </ul> <h4>What we provide you</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority.</li> <li>A collaborative and friendly environment with flexible hours.</li> <li>Many opportunities to learn, grow, and become a world-class professional.</li> <li>A fair compensation.</li> <li>A culture that thrives on open communication and transparency.</li> <li>First-class health insurance.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></p><p></p>

<p>In recent years, organizations have been disrupted and transformed by digital technology, cloud adoption, and the increasing need for secure, scalable, and compliant platform foundations. As a Technology Consulting professional, you will collaborate with multidisciplinary teams to help clients define, build, and operate cloud platforms that enable reliable application delivery, enterprise modernization, and measurable business value.</p><p>As organizations look to leverage the advantages that cloud technology offers, EY is committed to helping you develop the right skills needed in today's environment. Working on programs that cross borders and sectors, the experiences you gain here will be truly distinctive. Wherever you start and however long you stay, the exceptional EY experience lasts a lifetime.</p><p><strong>Job Summary</strong></p><p>We are seeking Cloud Architect/Engineer professionals for our Amman office to support cloud transformation engagements across advisory, architecture, engineering, and implementation activities.</p><p>Candidates may be considered for either architecture-focused or engineering-focused responsibilities depending on their experience, technical depth, stakeholder exposure, and interview performance.</p><p>This role is open to candidates with a minimum of 3+ years of relevant cloud experience. Final grade will be decided upon screening and interview completion, within the Senior Consultant to Manager level range.</p><p><strong>Key Responsibilities</strong></p><p><strong>Cloud Architecture &amp; Advisory</strong></p><ul><li>Support or lead architectural design sessions and define target-state cloud platform architectures using Azure or AWS Cloud Adoption Framework and Well-Architected principles.</li><li>Define landing zone standards covering identity and access management, enterprise networking, governance guardrails, policy, tagging, logging, resilience, and observability baselines.</li><li>Design account structures and onboarding standards across Azure Management Groups and Subscriptions, and AWS Organizations, OUs, and Accounts, under a unified governance model.</li><li>Publish enterprise connectivity blueprints including hub-and-spoke, Transit or Virtual WAN, private connectivity, DNS resolution, and firewall patterns.</li><li>Govern platform decisions through architecture review gates, decision logs, documented trade-offs, exception governance, and compensating controls.</li></ul><p><strong>Cloud Engineering &amp; Implementation</strong></p><ul><li>Implement Azure landing zones and account onboarding activities using standard checklists and Infrastructure as Code modules, including Terraform.</li><li>Deliver network foundations including virtual networks, Virtual WAN, DNS resolution, routing, ExpressRoute, VPN, Private Link, and firewall configurations.</li><li>Deploy, configure, and baseline Kubernetes clusters including AKS/EKS, container registry standards, Docker, Helm, cluster add-ons, and operational readiness checks.</li><li>Apply governance guardrails including Azure Policy, AWS SCPs, resource tagging standards, diagnostic settings, and logging configurations.</li><li>Implement identity and access patterns including RBAC, least privilege, service principals, and managed identities as defined by security baselines.</li></ul><p><strong>Delivery, Documentation &amp; Stakeholder Support</strong></p><ul><li>Troubleshoot platform issues, resolve delivery blockers through root-cause analysis, and propose implementation-ready fixes aligned to baseline standards.</li><li>Produce evidence packs and operational handover artefacts including runbooks, monitoring dashboards, escalation paths, and support readiness inputs.</li><li>Contribute to reusable intellectual property including blueprints, IaC modules, templates, checklists, and decision guides.</li><li>Work effectively with architects, security teams, developers, operations teams, and client stakeholders to deliver practical cloud solutions.</li></ul><p><strong>Key Profile Requirements / Qualifications</strong></p><ul><li>Minimum 3+ years of experience in cloud architecture, cloud engineering, cloud infrastructure, platform delivery, or enterprise technology transformation roles.</li><li>Hands-on cloud experience across Azure and/or AWS, including cloud foundations, landing zones, governance, networking, identity, security, and observability.</li><li>Infrastructure as Code experience, preferably with Terraform; Bicep/ARM or CloudFormation experience is an advantage.</li><li>Solid fundamentals in enterprise networking, including VNets/VPCs, subnetting, DNS, load balancing, firewall rules, and private connectivity patterns.</li><li>Experience with Kubernetes, containers, Docker, Helm, AKS/EKS, monitoring, logging, or operational readiness is an advantage.</li><li>Ability to produce clear, structured documentation and consulting-grade deliverables for client delivery and operational handover.</li><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.</li><li>Good written and spoken English; Arabic is an advantage.</li></ul><p><strong>Certifications</strong></p><ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104) [Preferred]</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305) [Preferred]</li><li>HashiCorp Certified: Terraform Associate [Preferred]</li><li>CNCF Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) [Plus]</li><li>AWS Certified Solutions Architect [Plus]</li></ul><p><strong>What We Look For</strong></p><p>We are looking for cloud professionals who combine hands-on engineering capability with architecture thinking, consulting discipline, structured documentation, and the ability to work effectively in multi-client delivery environments.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 3+ years of experience in cloud architecture, cloud engineering, cloud infrastructure, platform delivery, or enterprise technology transformation roles.</li><li>Hands-on cloud experience across Azure and/or AWS, including cloud foundations, landing zones, governance, networking, identity, security, and observability.</li><li>Infrastructure as Code experience, preferably with Terraform; Bicep/ARM or CloudFormation experience is an advantage.</li><li>Solid fundamentals in enterprise networking, including VNets/VPCs, subnetting, DNS, load balancing, firewall rules, and private connectivity patterns.</li><li>Experience with Kubernetes, containers, Docker, Helm, AKS/EKS, monitoring, logging, or operational readiness is an advantage.</li><li>Ability to produce clear, structured documentation and consulting-grade deliverables for client delivery and operational handover.</li><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.</li><li>Good written and spoken English; Arabic is an advantage.</li></ul><p><strong>Certifications</strong></p><ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104) [Preferred]</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305) [Preferred]</li><li>HashiCorp Certified: Terraform Associate [Preferred]</li><li>CNCF Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) [Plus]</li><li>AWS Certified Solutions Architect [Plus]</li></ul><p>We are looking for cloud professionals who combine hands-on engineering capability with architecture thinking, consulting discipline, structured documentation, and the ability to work effectively in multi-client delivery environments.</p>

<p><h4>Description</h4> <p><strong>About Maqsam</strong><br> Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <p><strong>Your opportunity</strong><br> As a senior AI agent architect, you will play a key role in designing, optimizing, and scaling AI-powered customer experiences for leading businesses across the region. You will be responsible for translating client requirements, business flows, and knowledge bases into reliable, high-performing AI agents that deliver accurate and natural interactions. This role involves structuring and improving knowledge sources, designing prompts and workflows, evaluating AI agent behavior, and continuously enhancing performance through testing and analysis. As the bridge between technical teams and client needs, you will collaborate closely with product, engineering, and customer success teams to ensure AI solutions are practical, scalable, and aligned with business goals. You will also contribute to defining best practices for AI agent architecture, prompt quality, and conversational design while helping shape the future of Arabic AI experiences at Maqsam.</p> <h4>Key responsibilities</h4> <ul> <li>Review client requirements, knowledge base documents, URLs, and business flows to assess readiness for AI agent implementation.</li> <li>Structure and optimize knowledge bases to improve retrieval quality, contextual accuracy, and agent reliability.</li> <li>Design, tune, and iterate on prompts, system messages, and agent instructions to improve response quality.</li> <li>Set up and improve AI agent workflows, actions, and interaction logic.</li> <li>Identify gaps, edge cases, and failure points in AI agent behavior and propose practical improvements.</li> <li>Define testing approaches for AI agents, including stress testing, scenario-based testing, and quality checks.</li> <li>Review testing results and client feedback, then translate them into clear improvements.</li> <li>Collaborate with product, engineering, customer success, and other teams to align AI agent behavior with client needs.</li> <li>Document decisions, issues, and recommendations clearly for internal teams and clients.</li> <li>Help define best practices for AI agent design, knowledge base structuring, prompt quality, and evaluation.</li> <li>Support and guide less experienced team members when needed.</li> </ul> <h4>Who we’re looking for</h4> <ul> <li>Strong technical background with hands-on experience in conversational AI, LLMs, AI agents, or chatbot platforms.</li> <li>Practical experience in prompt engineering, workflow design, automation systems, or AI agent configuration.</li> <li>Good understanding of knowledge base structuring, content quality, and how content impacts AI agent performance.</li> <li>Ability to analyze AI agent behavior, identify root causes of failures, and propose clear solutions.</li> <li>Experience with testing AI systems, including scenario testing, prompt evaluation, or quality assurance.</li> <li>Strong critical thinking and attention to detail.</li> <li>Excellent written and verbal communication skills, especially when explaining technical decisions or giving feedback.</li> <li>Ability to work effectively with cross-functional teams, including product, engineering, customer success, and client-facing teams.</li> <li>At least 2–3 years of relevant work experience is preferred.</li> <li>Experience with RAG systems, MCPs, external tools, APIs, or voice agents is a plus.</li> <li>Ability to work in a fast-changing environment and take ownership of ambiguous problems.</li> </ul> <h4>What we provide you</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority.</li> <li>A collaborative and friendly environment with flexible hours.</li> <li>Many opportunities to learn, grow, and become a world-class professional.</li> <li>A fair compensation.</li> <li>A culture that thrives on open communication and transparency.</li> <li>First-class health insurance.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></p><p></p>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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.<br> 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.<br> 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.<br> Responsibilities: 1.<br> Strategy &amp; Architecture Leadership 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 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 Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design &amp; Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering &amp; Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers 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 &amp; Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance &amp; Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership &amp; Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement &amp; Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments 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 Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture &amp; Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops &amp; Model Lifecycle Management - Enterprise Integration &amp; API Design - Data Architecture &amp; Data Engineering - AI Governance, Ethics &amp; Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI &amp; Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AJi Group is seeking an experienced Architect Interior Designer to join our team in Amman. The ideal candidate will be responsible for developing and executing interior design concepts for various projects. This role requires a strong understanding of architectural principles and interior design practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Interior Design, Architecture, or a related field.</li><li>6-9 years of professional experience in interior architectural design.</li><li>Strong portfolio showcasing technical and design capabilities.</li><li>Excellent command of Revit; proficiency in AutoCAD and Adobe Creative Suite is required.</li><li>Experience working on large-scale, multidisciplinary projects.</li><li>Healthcare project experience is an advantage.</li><li>Good English communication skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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><p>Responsibilities:</p><ol><li>Strategy &amp; Architecture Leadership<ul><li>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</li><li>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</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design &amp; Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering &amp; Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>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 &amp; Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance &amp; Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership &amp; Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement &amp; Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>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></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture &amp; Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops &amp; Model Lifecycle Management</li><li>Enterprise Integration &amp; API Design</li><li>Data Architecture &amp; Data Engineering</li><li>AI Governance, Ethics &amp; Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI &amp; Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The ultimate service of the consultancy is provide technical support to the UN-Habitat Jordan Head of Country office, project managers, and the project team to deliver the technical outputs to strengthen the agency s programmatic approach for advancing greening and resilience in cities. The Junior Landscape Architect will provide support to the project team to help enable the delivery of the following outputs as required: Under the Rethinking Sahab Project: Sahab's Green Public Space Plan Report. Support the vegetation planning and implementation at the pilot sites in Sahab And under the</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Architect Engineer <ul> <li><span>Posting Date</span>: 11/06/2026</li> <li><span>Ref</span>: E9885</li> <li><span>Position</span>: Architect Engineer</li> <li> </li><li><span>Location</span>: Jordan</li> <li><span>City</span>: Amman</li> <li> </li><li><span>Sector</span>: Hospitality</li> <li><span>Years of Experience</span> 7-10 Years</li> <li> </li><li><span>Qualification</span>: Degree in Architecture, Architectural Engineering, or a related discipline</li> <li><span>Salary</span>: Undisclosed</li> <li><span>Workdays</span>: 5 Working Days</li> <li> </li><li><span>Description</span>: ►Responsibilities<br> •Lead the architectural implementation of hospitality projects from approved design concepts through construction documentation, site execution, and project handover.<br> •Coordinate with consultants, contractors, subcontractors, and client representatives to ensure design intent, materials, finishes, and technical specifications are accurately translated into built work.<br> •Review architectural drawings, shop drawings, material submittals, method statements, RFIs, and technical deliverables to support timely approvals and site progress.<br> •Supervise on-site architectural works, including fit-out, finishes, detailing, mock-ups, inspections, and quality control to ensure compliance with project requirements and hospitality standards.<br> •Resolve technical and design-related issues during construction by providing practical solutions that align with approved plans, specifications, codes, and project timelines.<br> •Support contractors in closing project deliverables, including as-built drawings, snagging, inspection reports, material documentation, and handover requirements.<br> •Collaborate with multidisciplinary teams across structural, MEP, interior design, procurement, and project management functions to maintain coordination and execution quality.<br> ►Qualifications<br> •Bachelor’s degree in Architecture, Architectural Engineering, or a related discipline.<br> •7 to 10 years of architectural engineering experience, preferably across hospitality projects, consultancy environments, and construction or site-based roles.<br> •Strong knowledge of architectural detailing, construction documentation, finishing materials, fit-out works, and hospitality project execution standards.<br> •Proven experience reviewing consultant drawings, shop drawings, material submittals, RFIs, and contractor deliverables.<br> •Ability to bridge the gap between design intent and site implementation, with strong problem-solving skills in fast-paced construction environments.<br> •Proficiency in relevant design and documentation tools such as AutoCAD, Revit, BIM platforms, and Microsoft Office; familiarity with project management or document control systems is an advantage.<br> •Strong communication, coordination, and stakeholder management skills, with the ability to work effectively with consultants, contractors, site teams, and client representatives. <br> More<br> </li> </ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Overview</strong><br><span>InSite are urban designers, planners and landscape architects who share a love for the craft of designing the built environment and consist of a diverse studio of designers from around the world. We are a diverse studio of designers from around the world with studios in Abu Dhabi, Dubai and Doha. InSite is a unique division of KEO International Consultants, a firm with over a half century of delivering projects throughout the Gulf and a proud legacy to match. &nbsp;We engage at the human scale when creating our places.&nbsp; Each is interrogated from a collaborative viewpoint, tailored to client’s needs and ensuring sensitivity to the unique ecologies, cultures and the communities that we engage with.</span><br> <br><strong>Responsibilities</strong><br><p><span><span>Our newest opportunity is for a talented Senior Landscape Architect to join our allied practice, InSite in Amman, Jordan. InSite are urban designers, planners and landscape architects who share a love for the craft of designing the built environment and consist of a diverse studio of designers from around the world.&nbsp;&nbsp;&nbsp;</span></span></p><br><p><span>We envisage success in this role to include;</span></p><br><ul><li><span><span>Demonstrating an expert understanding of the aesthetic, technical, resource and financial components of landscape architecture.&nbsp;</span></span></li><li><span><span>Guiding the aesthetic and technical development of assigned projects.</span></span></li><li><span><span>Demonstrating an expert understanding of production techniques, procedures and standards.&nbsp;</span></span></li></ul><ul><li><span><span>Developing technical scopes of works, resource allocations and financial fees for project opportunities.</span></span></li><li><span><span>Managing projects through all aspects of the design process.</span></span></li><li><span><span>Leading, organising and directing teams of more junior staff in the execution of assigned projects.</span></span></li><li><span><span>Coordinating with other internal disciplines and managing the activities of outside sub-consultants in the execution of assigned projects.</span></span></li><li><span><span>Preparing technical and financial proposals for designated project opportunities.</span></span></li></ul><ul><li><span><span>Planning and monitoring appropriate staffing levels and utilisation of labour.&nbsp;</span></span></li><li><span><span>Preparing and delivering performance appraisals for staff.&nbsp;</span></span></li><li><span><span>Mentoring and coaching team members to further develop competencies.</span></span></li><li><span><span>Performs other related tasks as directed.</span></span></li></ul> <br><strong>Qualifications</strong><br><p><span>To be successful in this dynamic opportunity we envision that your career journey to date will include 10+ years of relevant work experience partnered with a Bachelor of Landscape Architecture from an accredited University or College program with a professional registration, licensure or chartership with an internationally recognized professional association.&nbsp;</span></p><br><ul><li><span>An expert understanding of the regional construction industry, local construction methods and their influence on design decisions.&nbsp;&nbsp;</span></li><li><span>Strong design management experience on landscape projects.&nbsp;</span></li><li><span>An expert understanding of industry codes, standards, health &amp; safety requirements, sustainability regulations, local construction methods and their influence on design decisions.</span></li><li><span>A strong understanding of key design related computer programs including REVIT, Grasshopper &amp; Rhino applications.</span></li><li><span>Excellent written and verbal communication skills.&nbsp;&nbsp;&nbsp;&nbsp;</span></li><li><span>The ability to comprehend, analyse, and interpret complex documents.&nbsp;&nbsp;</span></li><li><span>The ability to solve problems involving several options in situations.&nbsp;&nbsp;&nbsp;</span></li><li><span>Strong organizational, analytical and quantitative skills.&nbsp;&nbsp;&nbsp;</span></li><li><span>The ability to make effective presentations on general topics.&nbsp;&nbsp;&nbsp;</span></li><li><span><span>The ability to partner with clients to exceed their expectations and build client relations.</span></span></li></ul><span>InSite International is a KEO Allied Practice.</span><br><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span><br><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 57th largest global architecture firm and the #1 Firm in the Middle East Region in their 2023 WA100 Survey.</span><br><span>We invite you to join us. Why?</span><br><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics.</span><br><span>You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards, mentoring and coaching programs and extensive in-house on demand learning courses.</span><br><span>KEO’s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its’ contribution to client success wherever we work.&nbsp;</span><br><span>We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.&nbsp;</span><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Overview</strong> </p> <p>GovCIO is currently hiring a Senior Computer Systems Engineer/Architect to support Special Operations communications. This position will be in Jordan and will be an on-site position</p> <p> <strong>Responsibilities</strong> </p> <p>Gathers information concerning the capabilities of Company products; investigates the technical capabilities of Company products and competing equipment and/or solutions; stays abreast of developments in hardware and software. Generates quantifiable requirements based on customer description, system planning and design, and ensures requirements comply through formal verification methods. Translates high level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower level detailed implementation requirements. Establishes and coordinates development of standards, practices, and procedures as related to the overall network and system development. Designs interfaces and brings network and system elements together so they work as a whole. Assesses performance using evaluation criteria and technical performance measures. Customer liaison and support for business development activities and to understand and shape requirements.</p> <p> </p> <ul> <li>Develop and implement QoS for a voice/video/data network environment</li> <li>Use network/application performance management tools to troubleshoot, analyze, test, and provide recommended solutions for performance problems</li> <li>Develops and generates conceptual, logical, and physical network architectures, resulting in documents and drawings, testing analyses, test plans, and risk assessments to ensure sound architecture</li> <li>Provide operational support services for WAN and LAN technologies</li> <li>Plans network layouts and configures systems to user environments</li> <li>Analyzes network topologies and traffic, and capacity requirements</li> <li>Work with DOD customers to fill information gaps and communicate architecture and technical solutions</li> <li>Supports the acquisition of hardware and software, as well as needed</li> <li>Develop detailed logical designs in areas of: Gigabit Ethernet Switching/Routing (EIGRP &amp; BGPv4), QOS, DMVPN, IPv4 &amp; Multicast architecture</li> <li>Perform Network Engineering and Architecture Duties for a Wide Area Networking environment</li> </ul> <p> <strong>Qualifications</strong> </p> <p>Bachelor's with 8+ years (or commensurate experience)<br> <br> </p> <p>Required Skills and Experience</p> <ul> <li>Clearance Required: TS/SCI</li> <li>CompTIA SecurityX (copy presented with application)</li> <li>CompTIA Linx+ (copy presented with application)</li> <li>Cisco Certified Network Professional (CCNP) certification (copy presented with application)</li> <li>3+ years of Cisco Routing and Switching experience; demonstrated technical proficiency in EIGRP, OSPF, BGP, L3VPN, MPLS, DMVPN, FlexVPN, Redistribution, Route-Maps, Policy Based Routing, AAA, ACLs, VLANs, NAT, NTP.</li> <li>Must have a strong, proven background with senior-level experience with Cisco ISE, VMPS, Solarwinds, Orion, Spectrum, SNMP-C, Secure CRT, Radius/TACACS+, FWD Networks</li> <li>Strong attention to detail, good documentation skills, and ability to lead network development, network design, access, and remote administration architectures</li> <li>Proven experience in conducting site surveys to ensure locations are suitable for future installation.</li> <li>Strong troubleshooting and critical thinking skills</li> <li>Demonstrated ability to function with minimal instruction or supervision, or as a part of a larger team reporting to formal project management. Strong communication and organizational skills</li> <li>High-level experience in designing and implementing enterprise-level networks</li> <li>Intermediate to expert-level knowledge of EIGRP, BGP, QOS, DMVPN, and other WAN-based technologies</li> <li>Current and active U.S. Passport</li> <li>Current and active U.S. Driver's License</li> <li>Must have the ability to wear personal protective equipment, including a protective mask, ballistic helmet, body armor, and chemical/biological protective garments</li> <li>Medically/Physically fit for deployment with U.S. Military Forces Outside the Continental United States (OCONUS) under the provisions of USCENTCOM Medical Standards</li> </ul> <p> <br>Preferred Skills and Experience</p> <ul> <li>Master of Business Administration</li> <li>PMI PMP</li> <li>Experience supporting U.S. Special Operations</li> <li>Experience with Agile development methodologies and working with Agile teams using collaboration tools such as Gitlab.</li> </ul> <p><br></p></div></section>