Model Jobs in Saudi

Hiring: AI/ML Engineer – Industrial Analytics<br>???? Location: Riyadh, KSA???? Experience: 8+ Years<br><br>Key Responsibilities:<br>Develop and deploy ML/DL models for process deviation, predictive maintenance, equipment performance, yield estimation and optimization. Perform data exploration, cleansing, feature engineering, model training, tuning and validation. Work with refinery/process SMEs to convert engineering requirements into ML features and rules. Deploy AI/ML solutions using MLOps on AWS/Azure and integrate with dashboards, alerts and reporting. Implement model monitoring, versioning, retraining and drift detection. Apply Python, NLP, LLM, RAG, CNN, LSTM, YOLO, clustering, SVM and optimization techniques. Document model assumptions, validation results and limitations and support UAT/production stabilization.<br>Good to Have: Oil & Gas/Refinery/Process Industry experience, Gen AI, AI Agents, RAG, Knowledge Graphs and Physics-ML.<br>???? Interested candidates can share their updated CV [lopamudra.samal@ridik.net].

Hiring: AI/ML Engineer – Industrial Analytics<br>???? Location: Riyadh, KSA???? Experience: 8+ Years<br><br>Key Responsibilities:<br>Develop and deploy ML/DL models for process deviation, predictive maintenance, equipment performance, yield estimation and optimization. Perform data exploration, cleansing, feature engineering, model training, tuning and validation. Work with refinery/process SMEs to convert engineering requirements into ML features and rules. Deploy AI/ML solutions using MLOps on AWS/Azure and integrate with dashboards, alerts and reporting. Implement model monitoring, versioning, retraining and drift detection. Apply Python, NLP, LLM, RAG, CNN, LSTM, YOLO, clustering, SVM and optimization techniques. Document model assumptions, validation results and limitations and support UAT/production stabilization.<br>Good to Have: Oil & Gas/Refinery/Process Industry experience, Gen AI, AI Agents, RAG, Knowledge Graphs and Physics-ML.<br>???? Interested candidates can share their updated CV [lopamudra.samal@ridik.net].

Job Purpose:<br>Support the development and implementation of the organization’s organizational excellence framework, with a focus on excellence models, organizational performance, continuous improvement, policies and procedures, and award submission requirements. The role supports the enhancement of organizational maturity and operational effectiveness in alignment with strategic objectives and recognized excellence standards.<br>Key Responsibilities & Duties:<br>Organizational Excellence and Frameworks:<br>Support the development and implementation of organizational excellence plans, initiatives, and frameworks in alignment with the entity’s strategic direction. Apply recognized excellence models, awards, and standards such as King Abdulaziz Quality Award, EFQM Model, and other relevant frameworks. Conduct organizational excellence gap analysis against recognized models and standards to identify strengths, gaps, and improvement opportunities. Contribute to promoting a culture of organizational excellence and continuous improvement across the organization.<br>Assessment, Awards, and Improvement Plans:<br>Conduct organizational self-assessment activities in accordance with approved excellence models and applicable standards. Prepare and coordinate submission files for awards and excellence models, ensuring compliance with evaluation requirements and criteria. Monitor and follow up on improvement plans resulting from organizational assessments to ensure effective implementation. Conduct benchmarking studies with leading organizations in the field of organizational excellence and identify applicable best practices.<br>Performance, Policies, and Continuous Improvement:<br>Develop, monitor, and analyze organizational performance indicators and prepare related reports. Support continuous improvement initiatives and business process re-engineering to enhance operational efficiency. Support the development, review, and implementation of organizational policies and procedures. Prepare periodic reports on organizational excellence, performance results, improvement progress, and present key insights and recommendations to management.<br>Qualifications:<br>Bachelor’s degree in Business Administration, Industrial Engineering, Quality Management, Organizational Development, or a related field. Professional certifications such as Certified Assessor – King Abdulaziz Quality Award (KAQA), EFQM Assessor, ISO Lead Auditor, or Six Sigma are preferred.<br>Experience:<br>Minimum 6 years of relevant experience in organizational excellence, quality management, organizational performance, organizational development, or a related field.

IC İçtaş Construction is a global brand with more than 50 years of experience, delivering projects both in Turkey and abroad. Since its establishment, the company has successfully completed a wide range of projects, including airports, ports, marinas, roads and bridges, as well as high-speed railways, large-capacity power plants, and tourism facilities.<br>We are seeking an experienced BIM Coordinator to join our team for a prestigious mega-infrastructure project in Riyadh. This strategic project includes the construction of complex interchanges, bridges, and roadway networks that will play a key role in transforming urban mobility and supporting Saudi Vision 2030. The project focuses on delivering a modern, sustainable, and efficient transportation system that will enhance connectivity and support the region’s continued growth.<br>Qualifications<br>Bachelor’s degree in Civil Engineering, Architecture, Construction Engineering, or a related field,Minimum 10 years of experience in BIM coordination and digital project delivery,Proven experience in roads, highways, bridges, and transportation infrastructure projects,Strong background in multidisciplinary BIM coordination, model federation, and clash management,Advanced proficiency in Civil 3D, Revit, Navisworks, and Autodesk Construction Cloud (ACC/BIM 360),Experience in developing and implementing BIM Execution Plans (BEP) and BIM standards,Ability to coordinate effectively with designers, contractors, consultants, and client representatives,Previous experience on large-scale infrastructure projects in Saudi Arabia or the Middle East is highly preferred,BIM-related certifications are considered an advantage,Excellent command of English, both written and spoken.<br>Responsibilities<br>Lead and coordinate multidisciplinary BIM activities for roads, bridges, interchanges, and related infrastructure works,Manage model integration, clash detection, and coordination processes across all project disciplines,Ensure compliance with BIM standards, project requirements, and established workflows throughout the project lifecycle,Facilitate coordination meetings with design consultants, contractors, and project stakeholders to resolve design and construction-related issues,Monitor BIM deliverables, model quality, and data consistency to ensure project objectives are achieved,Collaborate closely with engineering, construction, and project controls teams to support efficient project delivery,Support the implementation of digital construction strategies, including 3D and 4D BIM processes,Prepare coordination reports, track actions, and ensure timely resolution of model-related issues.

Company Description ALEKHBARIYA Channel is a leading news and media organization based in Riyadh, dedicated to delivering timely, accurate, and engaging content across broadcast and digital platforms. The channel is focused on leveraging emerging technologies to enhance audience experience and streamline newsroom operations. As part of its innovation strategy, ALEKHBARIYA is investing in generative AI and data-driven storytelling to stay at the forefront of modern media. Team members collaborate across editorial, technical, and creative functions in a dynamic, fast-paced environment. Working at ALEKHBARIYA Channel offers the opportunity to contribute to impactful content that reaches diverse audiences locally and regionally. Role Description The Generative AI Engineer will design, build, and deploy AI models and tools that support content creation, newsroom workflows, and audience engagement for ALEKHBARIYA Channel. Day-to-day tasks include developing and fine-tuning generative AI models, integrating them with existing media systems, and collaborating with editorial and production teams to identify practical AI use cases. The role involves implementing scalable data pipelines, ensuring model performance and reliability, and maintaining responsible AI practices, including content quality, bias mitigation, and compliance with organizational standards. The engineer will also monitor system performance, troubleshoot issues, and continuously improve AI solutions based on user feedback and analytics. This is a full-time hybrid role based in Riyadh, with the flexibility to work remotely for part of the week. Qualifications Strong foundation in computer science, software engineering, or related fields, with experience in Python or similar programming languages and modern development practices. Hands-on experience with machine learning and deep learning frameworks (e.g., Tensor Flow, PyTorch) and familiarity with generative AI models such as large language models and diffusion or transformer-based architectures. Ability to design, train, and deploy ML models in production environments, including working with APIs, cloud platforms, model optimization, and performance monitoring. Knowledge of data engineering practices, including data preprocessing, feature engineering, versioning, and working with structured and unstructured data relevant to media and content. Understanding of responsible and ethical AI, including bias detection, content safety, and adherence to organizational and regulatory guidelines for news and media. Strong problem-solving skills, with the ability to translate newsroom and business needs into technical solutions and communicate complex concepts to non-technical stakeholders. Experience collaborating in cross-functional teams, with good written and verbal communication skills in English; proficiency in Arabic is a strong advantage. Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related discipline; prior experience in media, broadcasting, or digital content organizations is beneficial.

Company Description IKH FASHION HOUSE SA is a growing fashion company that focuses on delivering contemporary, high-quality apparel and accessories to a diverse customer base. The organization values creativity, attention to detail, and strong operational standards across its retail and back-office functions. Team members are encouraged to contribute ideas, take ownership of their work, and support continuous improvement in processes. The company offers opportunities to develop professionally within a dynamic and style-driven environment.<br>### *Requirements:*<br>* *1–2 years of experience* in accounting.* Good knowledge of *Microsoft Excel* and accounting software.* Ability to handle invoices, collections, expenses.* Good organizational, communication, and follow-up skills.* Ability to take responsibility and work effectively within a team.* *Valid driving license and own car are required.*<br>### *Key Responsibilities:*<br>* Record and follow up on daily accounting transactions.* Enter invoices, collections, and expenses.* Supervise and follow up on selected operational activities.* Perform administrative and financial tasks assigned by management.* Coordinate and follow up with branches, suppliers, and internal teams.

Project-Based Opportunity (6-Month Contract) with potential to transform into full time job <br><br>Tamayouz is the Saudi firm that works together with clients to create and sustain the impact for Vision 2030. We are looking for best local people in the market as we are building a strong Saudi brand with high quality. <br><br>We are looking for an experienced Strategy Manager to join a high-impact strategic transformation project starting at the end of August 2026 for a 6-month engagement. <br><br>This role is ideal for professionals with a strong background in strategy consulting, operating model design, financial modeling, and investment strategy who enjoy working closely with senior stakeholders and leading strategic initiatives. <br><br>Key Responsibilities <br><br>Lead strategy development and operating model design. Develop and oversee financial models and investment cases. Translate complex analysis into clear, actionable recommendations. Prepare executive presentations and facilitate leadership workshops. Manage client relationships and engage with senior stakeholders. Lead and coach a team of consultants to deliver high-quality outcomes. <br><br>Requirements <br><br>8–13 years of experience in a Tier-1 strategy consulting firm, Big Four strategy practice, or a corporate strategy function. Strong expertise in strategy development, operating models, and investment case design. Exceptional analytical, presentation, and stakeholder management skills. Fluent in both Arabic and English. Saudi Nationals are preferred. Ability to work full-time on-site (outside Riyadh), Sunday–Thursday. Experience in higher education, university investment entities, or endowment funds is a strong advantage.

Project-Based Opportunity (6-Month Contract) with potential to transform into full time job Tamayouz is the Saudi business solutions & advisory firm that works together with clients to create and sustain the impact for Vision 2030. <br>We are looking for a talented Senior Consultant to join a high-impact strategic transformation project starting at the end of August 2026 for a 6-month engagement. <br>This role is ideal for professionals with experience in strategy consulting, operating model design, financial modeling, and investment strategy who are passionate about solving complex business challenges and delivering high-quality strategic outcomes.<br>Key Responsibilities Drive strategic analysis, benchmarking, operating model design, and investment case development. Build, maintain, and stress-test financial models and investment cases. Conduct structured analysis and develop actionable recommendations. Prepare high-quality presentations and deliverables for leadership and senior stakeholders. Present findings to client stakeholders and support executive-level discussions. Work closely with the Strategy Manager, Partners, and Advisory team to ensure excellence in project delivery.<br>Requirements Experience: 5–8 years in Tier-1 strategy consulting, a Big Four strategy practice, or corporate strategy. Core Skills: Expertise in strategy development, operating models, financial modeling, and investment cases. Capabilities: Strong analytical, problem-solving, presentation, and advanced Power Point skills, with executive communication capabilities. Languages: Fluent in both Arabic and English. Saudi Nationals preferred; must be able to work full-time on-site outside Riyadh (Sunday–Thursday). Background in higher education, university investment entities, or endowment funds is highly beneficial.

<p>We are seeking a Service Charge Director to join JASARA PMC. The role responsibility is own the city-wide service charge framework, governance and operating model, ensuring service charges, cost recovery mechanisms and revenue opportunities are consistently identified, evaluated, governed and aligned with City Operations, Asset Management and district operating requirements.</p><p><br></p><p>The Service Charges &amp; Revenue Director is accountable for establishing and maintaining the city-wide service charge framework, governance model, charging methodologies and revenue optimization approach across the Qiddiya City operating model. The role provides city-wide coordination and assurance across Estate Management, City Operations, Asset</p><p><br></p><p>Management, Finance, districts, operators and delivery teams to ensure operational costs, common area services and shared infrastructure are appropriately understood, allocated and recoverable where applicable.The role acts as the owner and custodian of the city-wide service charge model, providing governance, oversight and assurance over cost allocation methodologies, cost recovery structures and service charge assumptions. The position also leads the identification and evaluation of revenue opportunities across city assets, facilities, infrastructure and common areas, ensuring opportunities are assessed from operational, commercial and asset-management perspectives before recommendations are escalated to senior management. The role directs the Service Charges &amp; Revenue Senior Manager and works closely with Lifecycle Planning, Finance, Asset Management, City Operations and district stakeholders to support long-term operational sustainability, financial resilience and value optimization across the city operating model.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Service Charge Framework and Governance</p><p><br></p><p>• Establish and maintain the city-wide service charge framework, governance structure, policies, methodologies and</p><p><br></p><p>operating principles across applicable assets, facilities, services and districts.</p><p><br></p><p>• Develop and maintain service charge allocation principles, recharge methodologies, cost categorization structures and</p><p><br></p><p>governance requirements.</p><p><br></p><p>• Ensure service charge arrangements are transparent, equitable, auditable and aligned with approved operational and</p><p><br></p><p>commercial objectives.</p><p><br></p><p>• Own annual service charge review processes, governance controls, methodology updates and assurance requirements.</p><p><br></p><p>• Develop policy recommendations relating to service charge methodologies and governance arrangements for leadership</p><p><br></p><p>review and approval.</p><p><br></p><p>• Ensure service charge approaches remain aligned with operating models, asset ownership structures, operational</p><p><br></p><p>responsibilities and district requirements.</p><p><br></p><p>• Promote consistency in charging practices and cost recovery principles across the wider city operating model.</p><p><br></p><p>• Provide leadership reporting on service charge governance effectiveness, risks, issues and improvement opportunities.</p><p><br></p><p>2. City-Wide Service Charge Model Ownership</p><p><br></p><p>• Own and maintain the city-wide service charge model and supporting governance arrangements.</p><p><br></p><p>• Coordinate inputs from Asset Management, City Operations, Finance, districts, operators and external advisors to ensure</p><p><br></p><p>model integrity and consistency.</p><p><br></p><p>• Review and challenge charging assumptions, allocation methodologies, cost drivers and model outputs to ensure robust</p><p><br></p><p>decision making.</p><p><br></p><p>• Ensure common area services, shared infrastructure, public realm assets and city-wide services are appropriately</p><p><br></p><p>reflected within service charge calculations.</p><p><br></p><p>• Maintain transparent assumptions, supporting evidence and governance records for all significant model decisions.</p><p><br></p><p>• Monitor model effectiveness and ensure assumptions evolve in line with city growth, asset commissioning and operational</p><p><br></p><p>maturity.</p><p><br></p><p>• Develop management information, dashboards and reporting outputs to support leadership review and decision making.</p><p><br></p><p>• Support periodic reviews of service charge affordability, allocation fairness and cost recovery effectiveness.</p><p><br></p><p>3. Revenue Strategy and Commercial Opportunity Assessment</p><p><br></p><p>• Lead the identification and evaluation of revenue-generating opportunities associated with city assets, infrastructure,</p><p><br></p><p>facilities, services and common areas.</p><p><br></p><p>• Assess emerging opportunities that support operational sustainability and maximize value from city-owned or city-</p><p>Experience</p><p><br></p><p>• Minimum 15 years of progressive experience in service charges, commercial management, cost recovery, financial</p><p><br></p><p>planning, real estate operations, asset management, infrastructure operations or related disciplines, including senior leadership experience.</p><p><br></p><p>• Proven experience developing, managing or governing service charge models and cost allocation methodologies within</p><p><br></p><p>complex multi-stakeholder environments.</p><p><br></p><p>• Experience evaluating revenue opportunities, commercial initiatives, cost recovery strategies and financial sustainability</p><p><br></p><p>programs.</p><p><br></p><p>• Experience coordinating operational, asset management and finance stakeholders to develop evidence-based</p><p><br></p><p>commercial recommendations.</p><p><br></p><p>• Experience managing consultants, specialist advisors and commercial studies.</p><p><br></p><p>• Experience supporting executive-level decision making through financial modelling, governance reporting and commercial</p><p><br></p><p>analysis.</p><p><br></p><p>Education</p><p><br></p><p>• Bachelor's degree in Finance, Accounting, Economics, Real Estate, Asset Management, Business Administration,</p><p><br></p><p>Commercial Management or a related discipline.</p><p><br></p><p>• Master's degree in a relevant discipline is preferred.</p><p><br></p><p>• Professional certification or membership in finance, service charge management, commercial management, asset</p><p><br></p><p>management, real estate or business management is desirable.</p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p><strong>Job Description</strong></p><p>We are seeking a Fashion Designer &amp; Production Coordinator to assist in designing evening-wear and bridal collections and coordinating their execution with the production team.</p><p><strong>Key Responsibilities</strong></p><p>● Create fashion sketches and develop new design ideas.</p><p>● Prepare detailed tech packs, including measurements, technical drawings, fabrics, trims, colors, and construction details.</p><p>● Communicate design details to pattern makers, tailors, and embroiderers.</p><p>● Follow garments through cutting, sewing, fitting, alterations, and finishing.</p><p>● Organize daily production tasks and monitor deadlines.</p><p>● Ensure finished garments match the approved designs and quality standards.</p><p>● Assist in selecting fabrics, embroidery, and accessories.</p><p>● Use CLO 3D to visualize designs when needed.</p><p></p><p><strong>Job Type:</strong> Full-time, on-site<br><strong>Location:</strong> Riyadh, Saudi Arabia</p><p><strong>Requirements</strong></p><p>● Degree or diploma in Fashion Design.</p><p>● 2+ years of experience in fashion design or garment production.</p><p>● Practical experience in creating professional and production-ready tech packs is required.</p><p>● Experience in evening-wear, bridal-wear, or women’s fashion is preferred.</p><p>● Strong fashion sketching and technical drawing skills.</p><p>● Basic knowledge of CLO 3D.</p><p>● Knowledge of garment construction, fabrics, patterns, and finishing.</p><p>● Strong organization and attention to detail.</p><p>● Ability to coordinate effectively with the production team.</p><p>● A portfolio including sketches, tech packs, and completed garments is required.</p>

<p>Job Description</p><p>We are seeking a Fashion Designer &amp; Production Coordinator to assist in designing eveningwear and bridal collections and coordinating their execution with the production team.</p><p>Key Responsibilities</p><p>● Create fashion sketches and develop new design ideas.</p><p>● Prepare detailed tech packs, including measurements, technical drawings, fabrics, trims, colors, and construction details.</p><p>● Communicate design details to pattern makers, tailors, and embroiderers.</p><p>● Follow garments through cutting, sewing, fitting, alterations, and finishing.</p><p>● Organize daily production tasks and monitor deadlines.</p><p>● Ensure finished garments match the approved designs and quality standards.</p><p>● Assist in selecting fabrics, embroidery, and accessories.</p><p>● Use CLO 3D to visualize designs when needed.</p><p><strong>Requirements</strong></p><ul><li><p></p></li></ul><p>Job Requirements</p><p>● Degree or diploma in Fashion Design.</p><p>● 2+ years of experience in fashion design or garment production.</p><p>● Practical experience in creating professional and production-ready tech packs is required.</p><p>● Experience in eveningwear, bridalwear, or women’s fashion is preferred.</p><p>● Strong fashion sketching and technical drawing skills.</p><p>● Basic knowledge of CLO 3D.</p><p>● Knowledge of garment construction, fabrics, patterns, and finishing.</p><p>● Strong organization and attention to detail.</p><p>● Ability to coordinate effectively with the production team.</p><p>● A portfolio including sketches, tech packs, and completed garments is required.</p><p>Job Type: Full-time, on-site<br>Location: Riyadh, Saudi Arabia</p>

<h3 >About the Role</h3> <p >Accenture Middle East is seeking an <strong >AI &amp; Machine Learning Consultant</strong> to join its team in Riyadh, Saudi Arabia. In this full-time role, the consultant will be responsible for designing, developing, and deploying enterprise-grade AI and Machine Learning solutions. This position focuses on leveraging cloud-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems that drive business innovation and operational efficiency. The consultant will work across the entire AI lifecycle, transforming data into intelligent solutions while ensuring performance, scalability, and business value.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI and analytics services.</li> <li >Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.</li> <li >Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.</li> <li >Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address specific business needs.</li> <li >Design AI solutions that operate efficiently across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li> <li >Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.</li> <li >Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.</li> <li >Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.</li> <li >Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.</li> <li >Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.</li> <li >Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements.</li> <li >Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.</li> </ul> <h3 >Basic Qualifications</h3> <ul > <li >4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines.</li> <li >Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.</li> <li >Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li> <li >Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks.</li> <li >Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.</li> <li >Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.</li> <li >Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.</li> </ul> <h3 >Preferred Skills and Experience</h3> <ul > <li >Experience developing and deploying Generative AI applications, foundation models, and LLM-based solutions.</li> <li >Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.</li> <li >Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li> <li >Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li> <li >Experience implementing AI observability, model monitoring, and production support frameworks.</li> <li >Strong analytical, problem-solving, and stakeholder management skills.</li> <li >Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, or Cloud Platforms.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia, within Accenture Middle East. The role involves close collaboration with diverse cross-functional teams, including architects, data engineers, software engineers, and business stakeholders, to deliver robust and scalable AI solutions.</p> <h3 >Application Information</h3> <p >Candidates who meet the outlined qualifications are encouraged to apply.</p>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Backend Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and evolve the machine learning infrastructure behind advanced property intelligence solutions. You will combine strong backend engineering expertise with machine learning operations to create scalable platforms for training, evaluation, deployment, and monitoring. Working alongside machine learning engineers, researchers, and software teams, you will help move innovative models from experimentation into reliable production systems. The position involves cloud-native technologies, distributed computing, automation, observability, and responsible AI practices. You will also explore AI-powered engineering tools and modern technologies that improve development efficiency and operational performance. Your work will contribute to solutions that generate insights from large-scale aerial and satellite imagery while helping organizations better understand climate and economic risks.<br><br>Accountabilities<br><br>Build, maintain, and evolve scalable machine learning infrastructure supporting model development, training, evaluation, deployment, and monitoring. Design reliable, cost-effective ML pipelines, platforms, and engineering tooling for large-scale workloads. Partner with machine learning engineers and researchers to transition new models and approaches from prototypes into production-ready systems. Develop automation, testing, observability, monitoring, reproducibility, data lineage, and governance capabilities across ML environments. Evaluate and integrate new data sources, technologies, platforms, and tools that can improve model performance and operational efficiency. Collaborate with software engineering, technology, product, and commercial stakeholders to deliver scalable machine learning solutions. Apply AI-powered development tools, coding assistants, and LLM-based agents to automate workflows and improve engineering productivity. Ensure machine learning systems meet security, governance, responsible AI, and model risk management standards. Identify technical trade-offs and contribute to architectural decisions involving infrastructure scalability, reliability, performance, and cost.<br><br>Requirements<br><br>Senior-level backend software engineering experience with a strong understanding of machine learning and a demonstrated interest in developing deeper ML expertise. Experience designing, building, and maintaining machine learning infrastructure, platforms, and tooling for large-scale training, evaluation, and deployment. Strong proficiency in Python and modern machine learning engineering tools, including deep learning frameworks, experiment tracking, version control, containerization, and automated workflows. Hands-on experience with MLOps practices such as CI/CD, model monitoring, reproducibility, data lineage, model governance, and production operations. Proven experience with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads. Demonstrated understanding of artificial intelligence concepts and practical experience using AI tools, coding assistants, and LLM-based agents to enhance engineering workflows. Experience implementing AI-powered solutions to address business challenges, with awareness of responsible and ethical AI principles. Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Ability to collaborate effectively with machine learning engineers, researchers, software developers, product teams, and business stakeholders. PhD in a science, technology, engineering, or mathematics discipline is preferred; a Master's degree with significant relevant industry experience or a Bachelor's degree with extensive hands-on experience is also considered. Equivalent practical experience and non-traditional career paths are welcome.<br><br>Benefits<br><br>Opportunity to work on advanced machine learning, computer vision, geospatial analytics, and AI challenges. Exposure to large-scale aerial and satellite imagery and technology supporting property intelligence solutions. Work with modern cloud-native infrastructure, distributed computing, ML platforms, and AI-enabled engineering tools. Opportunity to contribute to responsible AI, model governance, security, and risk management practices. Collaborative environment involving machine learning engineers, researchers, software engineers, product teams, and other stakeholders. Professional growth opportunities through work on complex, high-impact machine learning infrastructure challenges. Inclusive workplace focused on curiosity, diverse perspectives, integrity, collaboration, and continuous improvement. Candidates who do not meet every listed requirement are encouraged to apply if they can demonstrate relevant skills and experience.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.<br><br>As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.<br><br>You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.<br><br>The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.<br><br>You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.<br><br>This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.<br><br>Accountabilities<br><br>The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:<br><br>Develop, train, test, and evaluate machine learning models to support product objectives. Prepare, clean, analyze, and manage datasets used for model training and validation. Improve model performance through experimentation, optimization, and continuous testing. Deploy, maintain, and monitor machine learning models in production environments. Collaborate with software engineers to integrate machine learning capabilities into products and applications. Track model performance and identify opportunities to improve accuracy, reliability, and efficiency. Apply modern machine learning techniques and stay informed about emerging technologies and best practices. Write clean, maintainable, and efficient code to support scalable AI solutions. Contribute to technical discussions and help solve complex engineering challenges. Participate in the continuous improvement of machine learning workflows and development processes.<br><br>Requirements<br><br>The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:<br><br>1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities. Basic understanding of machine learning concepts, algorithms, and model development processes. Strong programming skills in Python. Familiarity with machine learning frameworks and libraries such as PyTorch, Tensor Flow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Experience using Git and version control practices. Strong problem-solving skills with the ability to analyze technical challenges. Good written and verbal English communication skills. Passion for learning, experimenting, and building AI-powered solutions. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory. Experience with large language models (LLMs) is an advantage. Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial. Knowledge of SQL and experience deploying machine learning models are considered advantages. Personal AI, machine learning projects, or open-source contributions are highly valued.<br><br>Benefits<br><br>The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:<br><br>Fully remote work opportunity. Flexible working environment with autonomy and work-life balance. Opportunity to build and improve real-world AI products. Exposure to challenging technical problems and modern machine learning technologies. Collaborative and fast-moving team environment. Opportunities for professional growth and continuous learning. Competitive compensation based on experience. Opportunity to contribute to impactful machine learning projects from anywhere.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role<br>The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale. This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>MLOps and Container Development Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images. Design and implement robust MLOps workflows and pipelines at supercomputing scale. Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment. Design and deploy APIs for AI/ML services and inference endpoints. Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization. Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).<br>Governance and Compliance Support Assist in computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows. Ensure container images and workflows comply with security policies and best practices. Support the implementation of usage monitoring and reporting systems.<br>Performance and Benchmarking Perform performance debugging and tuning of MLOps and cloud-native workflows. Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems. Create and maintain regression testing workloads for existing clusters. Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.<br>Training and Documentation Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization. Develop and maintain high-quality user documentation for automation tools and workflows. Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of automation infrastructure.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.<br>Required Skills<br>Demonstrated experience developing robust and complex MLOps pipelines. Hands-on experience with API design and deployment. Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment. Experience supporting researchers or working in academic/research computing settings preferred.<br>Technical Skills - Essential Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh. MLOps: Experience developing and maintaining MLOps pipelines and workflows. CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment. Containerization: Experience building secure, OCI-compliant container images. API Development: Experience in API design, development, and deployment. Programming: Proficiency in Python; experience with Go, Bash scripting. Linux: Strong Linux/Unix systems administration skills.<br>Technical Skills - Desired Experience with Argo CD, Airflow, DASK, Spark for workflow orchestration. Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines. Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki). Knowledge of Model Context Protocol (MCP) and agentic frameworks. Experience deploying inference services at scale. Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub). Experience with Git Ops practices and Infrastructure as Code (Terraform, Ansible). Experience with HPC schedulers (SLURM) and HPC-cloud integration.

<h3 >About the Role</h3> <p >Systems Limited is seeking a Forward Deployed Engineer MLOps to join their team in Saudi Arabia. This full-time role focuses on managing the production lifecycle of machine learning models, ensuring they are reliably deployed, monitored, optimized, and maintained at scale. The position requires 5-10 years of experience and involves MLOps, cloud infrastructure, automation, observability, cost optimization, and production incident management.</p> <h3 >Key Responsibilities</h3> <ul > <li >Own the production serving, CI/CD, deployment, and monitoring of ML models.</li> <li >Build and maintain pipelines for model retraining, versioning, and deployment.</li> <li >Manage ML infrastructure and optimize cloud costs through FinOps practices.</li> <li >Implement observability, alerting, model drift detection, and performance monitoring.</li> <li >Lead production incident response, troubleshooting, and on-call duties.</li> <li >Collaborate with Data Scientists and ML Engineers to design scalable, production-ready systems.</li> <li >Support presales activities and Proofs of Concept (PoCs) by demonstrating production readiness and scalability.</li> <li >Mentor engineers on MLOps and production-readiness best practices.</li> <li >Communicate infrastructure cost, performance, and reliability trade-offs to non-technical stakeholders.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Over 6 years of experience in MLOps, ML Platform Engineering, or related roles with proven production ownership.</li> <li >Strong expertise in CI/CD, containerization, cloud infrastructure, and ML observability.</li> <li >Deep understanding of the ML model lifecycle, including retraining, model versioning, and drift detection.</li> <li >Experience with Infrastructure as Code (IaC) and automated deployment pipelines.</li> <li >Strong knowledge of major cloud platforms such as AWS, Azure, or GCP.</li> <li >Experience with cloud cost monitoring, optimization, and FinOps practices.</li> <li >Strong understanding of monitoring, alerting, SLA management, and production incident response.</li> <li >Ability to troubleshoot and communicate technical incidents clearly to business stakeholders.</li> <li >Strong collaboration and mentoring skills.</li> <li >Willingness to participate in on-call and off-hours production support.</li> </ul> <h3 >Work Type</h3> <p >This is a full-time position based in Saudi Arabia.</p>

Position Title: Senior BIM Modeler – Architecture & Infrastructure Experience Level: 7–10 Years Project Scale: Large-Scale / Mega-Project (Complex Infrastructure & Mixed-Use Development) Primary Software Stack: Autodesk Revit, Autodesk Civil 3D, Navisworks, Autodesk Construction Cloud (ACC) Department/Group: Design & Engineering / BIM Management<br><br>Role Overview We are seeking an exceptional Senior Architecture BIM Modeler with 7 to 10 years of experience to join our engineering team for a high-profile, large-scale development project. This highly specialized role sits at the critical intersection of high-end architectural fit-outs (commercial zones, premium lounges, complex interior spaces) and massive site infrastructure (civil alignments, precise grading, and extensive subterranean utility networks). The ideal candidate must possess advanced, hands-on mastery of both Autodesk Revit and Autodesk Civil 3D, demonstrating a proven track record of bridging the data gap between building architecture and master civil site models on mega-projects.<br>Key Responsibilities1. BIM Modeling & Cross-Platform Integration (Revit & Civil 3D) Civil-to-Architectural Alignment: Establish, monitor, and maintain the Project Shared Coordinate System between Civil 3D and Revit to ensure absolute spatial alignment between the overall site layout and specific structural/architectural assets. Fit-out Detailing (Revit): Develop hyper-accurate, LOD 300/400 (Level of Development) models for complex internal fit-outs, including premium interior layouts, detailed millwork, custom joinery, and specialized architectural finishes. Infrastructure Modeling (Civil 3D): Assist the civil engineering team in referencing site surfaces, terrain models, alignments, corridors, and complex gravity/pressure pipe networks to seamlessly coordinate building interface. Site Asset Management: Model and manage structural-to-civil transition assets, interface retaining structures, external pavement interfaces, and site-wide utilities.<br>2. Multi-Disciplinary Coordination & Clash Resolution Clash Triage: Utilize Navisworks and BIM Collaborate Pro to run automated clash detection between interior architectural fit-outs, structural frames, MEP services, and external civil utilities. Interface Management: Proactively identify and resolve spatial conflicts where the building envelope meets the external site environment (e.g., floor level-to-grading transitions, drainage at building thresholds, and heavy subterranean utility entry points. Model Optimization: Implement strict data-management strategies (work-sharing, model linking, view filtering) to segment massive datasets into geographic zones, ensuring model stability and preventing performance crashes.<br>3. Documentation & Standards Compliance Construction Documentation: Extract precise, constructible shop drawings, internal elevations, joinery details, and material take-offs directly from the coordinated BIM environment. Standards Adherence: Ensure all digital assets adhere strictly to Project BIM Execution Plans (BEP), ISO 19650 standards, and local building/infrastructure codes.<br>Candidate Profile & Qualifications<br>Required Technical Skills & Software Expertise Autodesk Revit (Expert): Deep knowledge of advanced family creation (parametric/dynamic families), template management, phases, and work-sharing. Autodesk Civil 3D (Advanced/Proficient): Solid understanding of surfaces, terrain modeling, alignments, profiles, corridors, and pipe networks Coordination Tools: Advanced proficiency in Navisworks Manage, BIM 360 / Autodesk Construction Cloud (ACC). Automation (Preferred): Basic to intermediate understanding of Dynamo for automation of repetitive modeling tasks and data extraction is highly advantageous.<br>Experience & Education Experience: 7–10 years of professional BIM modeling experience. Priority will be given to candidates with previous large-scale transit hubs, airports, major commercial complexes, or mixed-use infrastructure experience Project Profile: Proven experience working on mega-projects (valued at $100M+ USD) with tight, highly structured delivery schedules. Education: Bachelor’s degree in Architecture.<br>Soft Skills & Core Competencies Rigorous Attention to Detail: A critical eye for spatial accuracy—understanding that minor discrepancies can disrupt building-to-site utility connections. Collaborative Communicator: Ability to act as a technical translator between civil engineers, structural engineers, interior architects, and site contractors. Problem-Solving Mindset: Driven to systematically uncover and resolve multi-disciplinary technical coordination challenges early in the design phase.

Role Title<br><br>Customer Service Assistant (male and female)<br><br>Role Information<br><br>Role Type<br><br> Pay Band<br><br> Location<br><br> Duration<br><br>Reports To<br><br>Hourly paid<br><br>40 SAR / hour<br><br>Jeddah / Riyadh / Khobar<br><br>Yearly contract (renewable) <br><br>Customer Service Manager <br><br>Role purpose<br><br>To provide support to Customer Service daily work in terms of supporting Customer Service, acting as first contact point for the customers at the front office or call centre and reporting feedback regularly for improvement.<br><br>About Us<br><br>The British Council is the UK’s international organisation for cultural relations and educational opportunities. We create friendly knowledge and understanding between the people of the UK and other countries. We do this by making a positive contribution to the UK and the countries we work with – changing lives by creating opportunities, building connections and engendering trust.<br><br>We work with over 100 countries across the world in the fields of arts and culture, English language, education and civil society. Each year we reach over 20 million people face-to-face and more than 500 million people online, via broadcasts and publications. Founded in 1934, we are a UK charity governed by Royal Charter and a UK public body.<br><br>Geopolitical/SBU/Function Overview<br><br>Customer Service KSA is one of the busiest centres in the region, offering high quality teaching, examinations and a range of other educational and cultural services. The main aim of this job is to maintain regular communication with customers visiting the front office for any services and to be responsible for some admin work related to placement test and registration period.<br><br>Main Opportunities/challenges For This Role<br><br>The British Council is open to customers from 9:00 to 21:00 from Saturday till Thursday. The Customer Services Team work a range of shifts designed to meet customers’ needs within these times and within operational constraints. On occasions, the post holder might be required to work outside the standard working hours and during the weekend.<br><br>Main Accountabilities<br><br>To ensure the smooth day-to-day running of practical aspects of the customer service by:Photocopying material To assist TC, exams and CS with display work To help when necessary to give publicity materials Keeping the waiting area tidy Checking the waiting area equipment Preparing the waiting area and placement tests area To deliver high standards of customer care by:Welcoming the customers at the front office and help them to choose the correct option from the queuing system Calls the waiting list customers Monitore the waiting area Directing customers to the placment test classes Directing Customers enquiries to the right person Assisting with queries as required Phoning students to update them on information and services as well as running telephone surveys as requested. To help with placement testing setup by:Preparing all rooms as required Preparing the number cards Storing tests in a tidy fashion Respond to all F2F, phone and emails enquiries in a positive and professional manner in accordance with the British Council Customer Service Standards and Policies, as outlined in the Customer Management Framework. Deliver Teaching Centre and Exams Department registration service enquiries and support in an efficient manner and in accordance with Teaching and Exams Quality Standards. These will help the English and Exams Team meet their ambitious targets. By following enquiry guidelines, ensure that where appropriate enquiries and feedback are passed on to the relevant British Council person and department. Refer to the Service Level Agreement to ensure they are clear on what is and what is not expected of them. Promote and cross sell BC products and services in a professional manner. Perform Call Centre and front office related administration and financial tasks in a timely manner to ensure smooth running of Call Centre operation <br><br>Key Relationships<br><br>The customer service team represent the organisation to a wide range of our audiences, including in excess of 15,000 individual teacher centre students (including adults, young learners and their parents) and more than 30,000 examination candidates each year face to face, as well as more than 35,000 enquiries by F2F, email or telephone each month. These enquiries cover a range of needs including:<br><br>Information about our public, corporate, and Young Learner courses Information about our professional skills courses and workshops Information about the wide range of examinations we offer including IELTS, ESOL, professional education and school exams. Requests for information about certification of degrees, qualifications etc Enquiries about partnerships or other relationships Assisting students to book placement tests Solving customer complaints<br><br>In order to serve our external customers, customer service Agents work particularly closely with the Customer Service Team, Teaching Centre and Exams Departments. Due to the nature of the role they also work closely with our other Project teams.<br><br>Role Requirements<br><br>Threshold requirements:<br><br>Assessment stage<br><br>Passport Requirements/ Right To Work In Country<br><br>Valid & transferable Iqama<br><br>Saudi nationals are eligible to apply<br><br>Shortlisting<br><br>Direct contact or managing staff working with children?<br><br>Yes<br><br>IF YES. Appropriate police check<br><br>N/a<br><br>Notes<br><br>Person Specification<br><br>Assessment stage<br><br>Minimum / Essential<br><br>Language requirements (DELETE IF NOT APPROPRIATE)<br><br>Desirable<br><br>Assessment Stage<br><br>Ability to communicate very well in spoken and written English and Arabic.<br><br>Shortlisting<br><br>Qualifications<br><br>Minimum / essential<br><br>Desirable<br><br>Assessment Stage<br><br>Minimum diploma or High school or equivalent <br><br>Shortlisting<br><br>Role Specific Knowledge & Experience<br><br>Minimum / essential<br><br>Desirable<br><br>Assessment Stage<br><br>Experience of dealing with customer – One year minimum<br><br>Shortlisting<br><br>British Council Core Skills<br><br>Assessment Stage<br><br>Communicating and influencing (level 1) Using technology (level 1) Managing accounts and partnerships (Level 1)<br><br>Shortlisting AND Interview<br><br>British Council Behaviours<br><br>Assessment Stage<br><br>Connecting with others (essential) Working together (essential) Being accountable (essential) Making it happen (essential) Creating shared purpose (essential) Shaping the future (essential)<br><br> <br><br>Interview

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>You will be a Prototyping Engagement Manager in the AWS PACE (Prototyping and Customer Engineering) team, based in Riyadh. You are the face of PACE for customers in the Kingdom of Saudi Arabia — helping enterprises turn their most ambitious ideas into working technology proofpoints on AWS.<br>You work at the intersection of business strategy and emerging technology. You identify the opportunities where generative AI, agentic systems, and cloud-native architectures can create the most value for a customer — then you shape, qualify, and drive those engagements from first conversation to working prototype and beyond.<br>You pilot a pipeline of high-value innovation opportunities, you earn the trust of C-suite and technical leaders alike, and you create the conditions for brilliant engineers to do their best work. You pair with hands-on Prototyping Architects to deliver multi-week hands-on engagements that de-risk transformation, prove out new workloads, and accelerate customers' paths to production.<br>You thrive in ambiguity. Your customers are navigating generational technology shifts — foundation models, autonomous agents, intelligent automation — and you help them cut through the noise, make crisp decisions, and move fast. You work backwards from customer outcomes, you insist on the highest standards in scoping and delivery, and you invent on behalf of customers who don't yet know what's possible.<br>This role is based in Riyadh and supports customers across KSA and the wider GCC, working alongside account teams, specialist organisations, and partners to drive workload adoption at the frontier of what AWS can do.<br>Key job responsibilities<br>You build and pilot a pipeline of innovation opportunities across KSA and the GCC — working with account teams, specialists, and partners to proactively identify where generative AI and cloud-native architecture can unlock the most value.<br>You qualify with rigour. You ask the hard questions early — is there a real business outcome, a committed customer, a path to production? You invest resources where they matter and disqualify where they don't.<br>You scope engagements that set teams up for success — working backwards from customer outcomes to define crisp, time-boxed prototypes with clear success criteria.<br>You drive engagements from kickoff to close — coordinating customer developers, AWS architects, and partners, mitigating risk, and ensuring every engagement closes with demonstrated value and a concrete next step.<br>You are a trusted advisor to senior leaders — helping executives navigate generational technology shifts and make confident investment decisions.<br>You scale what works — packaging repeatable motions and sharing them across the PACE community worldwide.<br>You represent the customer internally — feeding engagement insights back into AWS service teams and product roadmaps.<br>A day in the life<br>You start with a standup — a customer's engineering team is two weeks into a generative AI prototype and needs your help unblocking a decision. Mid-morning, you're scoping a new engagement with a Saudi enterprise exploring agentic AI. After lunch you review your pipeline, update qualifications, and plan resourcing with your Prototyping Architect. Later, you're with a customer's CTO — they've seen prototype results and want to talk path to production. You finish the day writing up a repeatable pattern you spotted, something the wider PACE team could use.<br>About the team<br>PACE (Prototyping AI and Customer Engineering) is AWS's hands-on customer innovation team. We work directly with enterprise customers to turn their boldest ideas into working technology — building prototypes that de-risk transformation and accelerate adoption.<br>Our model pairs Engagement Managers with Prototyping Architects: you shape the opportunity, they shape the technology, and together you deliver something real. This role sits within EMEA PACE, supporting customers across KSA and the wider GCC, backed by a worldwide community that shares patterns, tools, and lessons learned.<br>- 3+ years of technical product or program management experience<br>- 2+ years of software development experience<br>- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience<br>- Experience managing programs across cross functional teams, building processes and coordinating release schedules<br>- 3+ years of working directly with engineering teams experience<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><h4>About Four Seasons:</h4> <p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.</p> <p>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p> <h4>About the location:</h4> <p>Soon to be one of the region’s foremost luxury beachside destinations, The Red Sea will comprise of the idyllic natural islands and lagoons across 200 kms of coastline along the western coast of the Kingdom of Saudi Arabia, between the cities of Umluj and Al Wajh. The new Four Seasons Resort will be located on Shura Island, the hub of the development and home to a yacht marina, leisure and lifestyle facilities, retail offerings, 18-hole golf course and more.</p> <p>The Red Sea destination is being built with sustainable practices and tourism at its core, with the masterplan being informed by an impressive marine spatial planning simulation to model the environmental impact of development and operations to minimize over-tourism while providing guests with an exceptional travel and lifestyle experience. The destination will also rely on renewable energy and will only develop a small portion of the islands with expansive dedicated conservation zones.</p> <p>The new Four Seasons Resort will offer approximately 149 rooms and suites, all with uninterrupted views over white sand beaches and crystal-clear waters. The property will also feature six restaurant and lounge outlets, meeting and events spaces, a marine discovery centre, Kids for All Seasons space and much more. Whether looking for rest and relaxation or sport and water activities, there will be something for everyone, including a full-service spa with a hammam, tennis courts, three outdoor pools with cabanas, and two separate beaches for families and adults perfect for soaking in the sun or diving down to explore the coral reefs.</p> <h4>About the Roles:</h4> <p><strong>Night Cleaner</strong><br> As a Night Cleaner at Four Seasons Resort Red Sea, you play a vital role in upholding the highest standards of cleanliness and hygiene in our public and employee areas. Working primarily during non-business hours, you ensure that all designated spaces are spotless, sanitized, and welcoming for guests and colleagues alike.</p> <p>Your responsibilities include thorough cleaning tasks such as mopping, vacuuming, dusting, and disinfecting surfaces. You also manage waste removal efficiently to maintain a tidy environment. By working behind the scenes, you help create a fresh, organized atmosphere that supports daily operations and enhances the overall guest experience.</p> <p><strong>Public Area Attendant</strong><br> As a Public Area Attendant, you are responsible for maintaining immaculate public spaces and restrooms throughout Four Seasons Resort Red Sea. Your vigilance and care ensure these areas are clean, orderly, and well-stocked, reinforcing the resort’s commitment to excellence.</p> <p>Your daily duties include dusting, vacuuming, mopping, and sanitizing all public surfaces with attention to detail. You regularly inspect the condition of public areas to identify and promptly report any maintenance or cleanliness issues.</p> <p>In addition, you ensure restrooms are consistently supplied with essentials such as toilet paper, soap, hand sanitizers, and paper towels, maintaining both hygiene and guest convenience.</p> <p><strong>Turndown Attendant</strong><br> The Turndown Attendant at Four Seasons Resort Red Sea is responsible for creating a serene and inviting evening environment in guest rooms. Arriving in the early evening, you refresh and prepare rooms for the guest’s nighttime comfort.</p> <p>Your duties include tidying the room, replenishing amenities, closing drapes, adjusting lighting, and providing small touches such as placing chocolates or a personalized note. Your attentive service helps guests unwind and enjoy a restful night’s sleep, embodying the Four Seasons promise of thoughtful luxury and care.</p> <h4>Knowledge and Skills</h4> <ul> <li>Ability to read, write, and speak English.</li> </ul> <h4>What to Expect:</h4> <ul> <li>Competitive basic salary in a tax-free environment</li> <li>Travel allowance</li> <li>30 days’ vacation</li> <li>10 days public holidays per year</li> <li>Paid home leave tickets</li> <li>Complimentary employee meals</li> <li>Medical insurance</li> <li>Life insurance</li> <li>Employee assistance program</li> <li>Worldwide complimentary room nights with Four Seasons</li> <li>Laundry/dry cleaning provided for work attire</li> <li>Growth and development opportunities</li> </ul></p><p></p>