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ai developer (one-year fixed term contract) Jobs in Saudi Arabia

ai engineer sr

Globant

<div>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. 
 
 
We are seeking a Senior AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences. 
 
 
<h3 class="jobSectionHeader">You will get the chance to:
</h3><ul><li>Design, develop, and enhance an AI-powered chatbot for a national tourism platform
</li><li>Integrate and deploy open-source LLMs within secure private cloud environments
</li><li>Build and maintain scalable Python backend services powering AI-driven interactions
</li><li>Design and implement agentic workflows, including tool integration, context retrieval, database querying, and external API communication
</li><li>Optimize model performance, latency, and scalability across GPU environments
</li><li>Integrate AI solutions with Azure AI services and existing platform infrastructure
</li>Monitor and continuously improve system performance using LLM evaluation techniques and other optimization methods 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">What will help you succeed:
</h3><ul><li>Strong experience in AI engineering, particularly with Large Language Models (LLMs)
</li><li>Hands-on experience with open-source frameworks (e.g., Hugging Face Transformers)
</li><li>Proven experience deploying AI models on GPU infrastructure
</li><li>Solid Python backend development experience for AI services and APIs
</li><li>Familiarity with LLM engineering patterns such as tool calling, structured outputs, retrieval systems, and streaming responses
</li><li>Experience building real-time chat systems using HTTP streaming (SSE or similar)
</li><li>Experience integrating AI systems with databases, APIs, and external services to enable agentic behavior and decision-making
</li><li>Familiarity with Azure cloud services, particularly Azure AI or related infrastructure
</li>Understanding of model optimization techniques (e.g., quantization, inference performance, scaling) 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">Nice to have:
</h3><ul><li>Familiarity with frontend technologies such as React or Next.js
</li>Experience developing chat interfaces 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">Soft skills:
</h3><ul><li>Strong problem-solving and system design mindset
</li><li>Collaborative approach with the ability to work across teams while also delivering independently
</li><li>Clear communication with both technical and non-technical stakeholders
</li><li>High level of ownership and accountability
</li>Focus on building reliable, production-grade AI systems 
<li>
 
 
</li></ul>Location: Remote 
 
 
Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. 
 
 
 
We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package.</div>

AI Engineer, Sr

KAUST (King Abdullah University of Science and Technology)

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

AI/ML Support Automation Analyst

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 Supervise the delivery and operation of data engineering pipelines and platforms by coordinating implementation activities, enforcing data quality and compliance requirements, and ensuring reliable, secure, and timely data availability for analytics and AI use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Supervise the development, execution, and maintenance of data pipelines to ensure consistent ingestion, transformation, and delivery of data in line with approved technical designs and operational requirements.
 </li>
 <li>
 Control compliance with data protection, privacy, and governance requirements by ensuring PDPL-aligned data handling, access controls, logging, and documentation across data engineering activities.
 </li>
 <li>
 Review data pipeline performance, stability, and data integrity, coordinating corrective actions for failures, delays, or quality issues with engineering and platform teams.
 </li>
 <li>
 Optimize data processing workflows, scheduling logic, and storage configurations to improve performance, availability, and cost efficiency within approved cloud environments.
 </li>
 <li>
 Coordinate with data science, analytics, and business teams to translate data requirements into executable pipelines and curated datasets aligned with agreed specifications and service expectations.
 </li>
 <li>
 Plan and oversee implementation of data quality checks, validation rules, and monitoring mechanisms to ensure engineered datasets meet usability and consistency standards.
 </li>
 <li>
 Participate in deployment and operational support of cloud-based data platforms, orchestration tools, and automation frameworks in accordance with approved architectures.
 </li>
 <li>
 Review infrastructure-as-code scripts and deployment pipelines to ensure controlled releases, environment consistency, and minimal disruption to data services.
 </li>
 <li>
 Assist in incident response activities by supporting root-cause analysis, remediation planning, and documentation for data pipeline and platform issues.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Academic Qualifications:
 
 Bachelor&rsquo;s degree in computer science, Data Engineering, or Information Systems, or a related field.
 </li>
 <li>
 
 Years of Experience:
 
 6 years of relevant experience.
 </li>
 <li>
 
 Other Requirements:
 
 AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer is preferred.
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Assistant Manager – Data Engineering

Motorola Solutions

<div><h2 class="jobSectionHeader">Company Overview</h2>
At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.<h2 class="jobSectionHeader"> 
Department Overview</h2>
Motorola Solutions is seeking a highly skilled and motivated on-site customer support engineer to join our International Services team. This role is critical to the delivery of mission-critical operations systems, encompassing the development and implementation of customer applications and company products, ensuring optimal customer performance and success.<h2 class="jobSectionHeader"> 

Job Description</h2>
In response to rapid advancements in IT and communications technologies, and the increasing demand for Advanced Command &amp; Control Center software solutions built on Cloud Computing, AI, and Machine Learning (ML), we are expanding our Services team. This role will provide essential field engineering services to our AMEA customers, reflecting our commitment to innovation and customer satisfaction.
At Motorola Solutions, we invest in our employees. You will receive comprehensive training and certifications in required technologies and service management, empowering you to excel in your role and advance your career. You will initially support the design and implementation of management, service, and maintenance solutions for customer networks, with the goal of independently leading and managing these efforts.
Responsibilities:<ul><li>
Collaborate with cross-functional teams across various technology stacks (web, mobile, middleware) to resolve complex business and technical challenges.</li><li>
Provide high-quality technical and operational support for mission-critical IT and Radio systems within a team environment, ensuring service level and operational key performance indicators are consistently met.</li><li>
Maintain system performance and availability through incident and performance management processes.</li><li>
Work closely with Field Services Engineers and Technical Support Operations to ensure adherence to Service Level Agreements (SLAs).</li><li>
Manage the resource calendar to ensure all Maintenance Agreement (MA) deliverables are fulfilled.</li><li>
Coordinate with the Local Service Delivery Manager (SDM) for all activities related to contract deliverables and appropriate tasking.</li><li>
Conduct regular customer meetings to discuss service availability and performance.</li><li>
Address customer comments and inquiries related to specific project aspects or the entire project scope.</li><li>
Plan and execute technical tasks according to established instructions and processes.</li><li>
Respond to customer problems directly or through the internal customer interface.</li><li>
Troubleshoot and resolve technical design-related issues.</li><li>
Attend all scheduled and unscheduled customer meetings, providing reports to the Team Lead and SDM.</li></ul>
The primary objective of this role is to ensure all Service Obligations to the customer are met and to provide expert technical assistance and advice throughout the Maintenance Agreement lifecycle.<h2 class="jobSectionHeader"> 
Basic Requirements</h2><ul><li>
Engineering or Sciences degree OR 4+ years of experience as a System Manager or in Field Service, with expertise in one or more of the following areas: Broadband PTT, Wired/Wireless Communication Systems, IT Systems, or Networking equipment.</li><li>
Legal authorization to work in the specified country indefinitely is required; employer work permit sponsorship is not available.</li><li>
Background in Network/IT, Broadband PTT, or Customer Service.</li><li>
Strong professional interpersonal and communication skills.</li><li>
Excellent command of verbal and written English and Arabic.</li></ul><h2 class="jobSectionHeader"> 
Travel Requirements</h2>
Over 50%<h2 class="jobSectionHeader"> 

Relocation Provided</h2>
Domestic<h2 class="jobSectionHeader"> 

Position Type</h2>
Experienced<h2 class="jobSectionHeader">
Referral Payment Plan</h2>
No<h2 class="jobSectionHeader">
Company</h2>
Motorola Solutions Arabia, Inc., Saudi Branch
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.</div>

Operations Engineer Arabic speaker

Freyssinet Saudi Arabia

Position: Architect BIM Engineer (Hospital Project)Experience: 5–7 Years (Hospital projects experience is a must) Location: Jeddah   Role PurposeThe Architect BIM Engineer is responsible for executing architectural BIM modelling, documentation, and model-based outputs in accordance with approved project requirements. The role focuses on accurate model development, coordinated shop drawings, quantity take-offs, and BIM-based schedules to support construction planning, procurement, and site execution. Key Responsibilities:1. Architectural BIM Modelling<ul><li>Prepare and update architectural BIM models (LOD 400–500) based on approved drawings, specifications, and BIM guidelines.</li><li>Model architectural elements accurately to reflect design intent, construction methods, and material specifications.</li><li>Implement approved revisions and changes into the BIM model as instructed.</li></ul>2. BIM-Based Coordination<ul><li>Identify architectural clashes and coordination issues and raise them for resolution through established coordination channels.</li><li>Update architectural BIM models in line with agreed coordination outcomes.</li></ul>3. Shop Drawings &amp; As-built<ul><li>Produce architectural shop drawings extracted from coordinated BIM models.</li><li>Prepare detailed plans, sections, elevations, and construction details.</li><li>Ensure drawings reflect approved materials, details, and construction sequences.</li><li>Support preparation of record (as-built) architectural models and drawings.</li></ul>4. Quantity Take-Offs &amp; BIM Schedules<ul><li>Prepare accurate architectural quantity take-offs from BIM models to support procurement, cost control, and construction planning activities.</li><li>Ensure quantities and schedules are consistent with approved models, drawings, and project scope.</li><li>Update quantities and schedules in line with approved changes, variations, and revisions.</li></ul>5. BIM Data &amp; Model Maintenance<ul><li>Maintain model cleanliness, accuracy, and consistency in line with issued BIM standards.</li><li>Ensure architectural models are properly structured for drawing extraction and coordination.</li><li>Maintain version control and timely issuance of architectural BIM deliverables as assigned.</li></ul> Technical Skills<ul><li>Strong proficiency in Revit &amp; AutoCAD is a mandatory.</li><li>Advanced proficiency in Dynamo scripting is a mandatory.</li><li>Advanced proficiency in Navisworks is a mandatory.</li><li>Understanding of BIM fundamentals: LOD, model coordination, families, views, sheets.</li></ul> Preferred Experience<ul><li>Bachelor’s degree in architectural engineering.</li><li>5–7 years of experience in Architect BIM Engineer role.</li><li>Experience on complex or large-scale projects (Hospital projects experience is a must).</li><li>Experience with Grade A main contractors.</li></ul>

Architect BIM Engineer

NADEC Foods

<div>
 
 The AI Specialist will be a hands-on technical expert responsible for designing, developing, implementing, and maintaining artificial intelligence and machine learning models to solve complex business problems within NADEC. This role involves working closely with data scientists, data engineers, and business stakeholders to identify opportunities for AI, develop robust solutions, and contribute to the continuous improvement of NADEC's operational efficiency, product innovation, and customer experience through AI.
 
 
 
 
 
 Core Accountabilities:
 
 
 &bull; AI/ML Model Development &amp; Implementation: Design, develop, train, and deploy machine learning models (e.g., for predictive o analytics, natural language processing, computer vision, anomaly detection, o recommendation systems).
 
 
 &cir; Perform data collection, preprocessing, feature engineering, and validation for o AI/ML models. &cir; Write production-quality code for AI/ML solutions and integrate them into o existing systems and workflows. o Optimize models for performance, scalability, and accuracy.
 
 
 &bull; Research &amp; Innovation: o Stay current with the latest advancements, techniques, and tools in AI, machine o learning, and deep learning.
 
 
 o Evaluate and experiment with new AI technologies and methodologies to o assess their potential value for NADEC.
 
 
 Contribute to the development of innovative AI-driven solutions to address o specific business needs in areas like agriculture, manufacturing, supply chain, o and sales &amp; marketing.
 
 
 &bull; Data Analysis &amp; Interpretation:
 
 
 o Collaborate with data analysts and business users to understand data sources o and requirements for AI projects.
 
 
 o Analyze large datasets to identify patterns, insights, and opportunities for AI o application. o Clearly communicate complex AI concepts and model results to both technical o and nontechnical audiences.
 
 
 ● Model Monitoring &amp; Maintenance:
 
 
 &cir; Develop and implement strategies for monitoring the performance of deployed o AI models. o Perform ongoing maintenance, retraining, and fine-tuning of models to ensure o continued accuracy and relevance.
 
 
 o Troubleshoot and resolve issues related to AI model performance or o deployment.
 
 
 o ● Collaboration &amp; Documentation:
 
 
 &bull; Work collaboratively in an agile environment with cross-functional teams o including data engineers, software developers, and business stakeholders. o Document AI models, methodologies, processes, and results thoroughly.
 
 
 o Participate in code reviews and knowledge-sharing sessions Public
 
 
 &bull; Ethical AI:
 
 
 &cir; Ensure that AI solutions are developed and deployed responsibly, considering o fairness, transparency, and ethical implications
 
</div>

AI Specialist

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build: 
This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment. 
What you bring: 
<ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</li><li>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</li><li>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li></ul> 
What Success Looks Like<ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul> 
Where you belong: 
AI Application Development (core focus):<ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul>
Agent-Based AI Development:<ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul>
SAP Platform Integration:<ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul>
Engineering and Model Lifecycle:<ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Developer (One-Year Fixed Term contract)

Explore 47+ Ai engineer sr in Saudi Arabia this April. Find roles across top companies and apply now to boost your career.