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Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a motivated and innovative Artificial Intelligence Engineer with 3+ years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in machine learning, data modeling, Python programming, and AI solution development, with the ability to transform business requirements into intelligent systems and predictive models. 
 
</div><div></div> 
Key Responsibilities: 
<ul><li>
Design, develop, and deploy AI and machine learning models for business use cases. 
</li><li>
Build and optimize predictive, classification, and recommendation models. 
</li><li>
Work with large datasets to perform data preprocessing, feature engineering, and model training. 
</li><li>
Develop AI-driven solutions using Python and machine learning frameworks. 
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques. 
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases. 
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems. 
</li><li>
Monitor deployed models and ensure continuous performance improvement. 
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
3+ years of experience in Artificial Intelligence / Machine Learning Engineering 
</li><li>
Strong proficiency in Python 
</li><li>
Hands-on experience with machine learning algorithms and model development 
</li><li>
Experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy 
</li><li>
Good understanding of data structures, statistics, and predictive analytics 
</li><li>
Experience in data cleaning, feature engineering, and model evaluation 
</li><li>
Knowledge of SQL and database management 
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div>

Artificial Intelligence Engineer

MA'ADEN

<div>Job Purpose
Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery. 
Key Accountabilities
<div><ul><li>Lead and actively develop ML, deep learning, and Generative AI solutions.
</li></ul><ul><li>Design and implement LLM-based applications including RAG pipelines and embeddings strategies.
</li></ul><ul><li>Own solution architecture from problem framing to production deployment.
</li></ul><ul><li>Establish MLOps and LLMOps practices for deployment, monitoring, and retraining.
</li></ul><ul><li>Define evaluation standards, guardrails, and AI safety controls.
</li></ul><ul><li>Mentor team members and drive cross-functional collaboration.
</li></ul><ul><li>Ensure compliance with data governance and responsible AI standards.
</li></ul></div>Minimum Qualification, Experience and Competencies
<div><ul><li>Minimum Qualification
</li></ul></div><ul><li>Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
</li></ul>Minimum Experience
<ul><li>7&ndash;9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives.
</li></ul>Skills:
<ul><li>Advanced ML &amp; deep learning
</li><li>LLM architecture design
</li><li>API orchestration &amp; system integration
</li><li>AI safety &amp; risk mitigation
</li><li>Enterprise AI deployment
</li><li>Cloud AI platforms (Azure, AWS, GCP)
</li><li>Technical leadership &amp; stakeholder engagement
</li><li>Solution architecture thinking</li></ul></div>

Lead Specialist, Data Science & Artificial Intelligence II

MASTER-WORKS

<div>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. 
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.
Key Responsibilities
LLM Development &amp; Integration<ul><li>
Fine-tune and deploy Large Language Models for chatbots, content generation, and virtual assistants.</li><li>
Evaluate and optimize model performance in real-world use cases.</li><li>
Integrate LLMs into production environments ensuring scalability and reliability.</li></ul>
NLP System Design<ul><li>
Design and implement NLP algorithms for text classification, sentiment analysis, entity recognition, and summarization.</li><li>
Handle large text datasets for model training and validation.</li><li>
Collaborate with cross-functional teams to address language-related challenges.</li></ul>
Speech-to-Text Implementation<ul><li>
Develop and optimize speech-to-text (ASR) pipelines for multiple languages and dialects.</li><li>
Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.</li><li>
Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.</li></ul>
Performance Optimization<ul><li>
Improve AI model efficiency for real-time performance and scalability.</li><li>
Identify and mitigate biases to ensure model accuracy, fairness, and robustness.</li></ul>
Research &amp; Innovation<ul><li>
Stay current with cutting-edge research in LLMs, NLP, and Speech AI.</li><li>
Experiment with new architectures and techniques to drive innovation.</li></ul>
Documentation &amp; Collaboration<ul><li>
Maintain detailed documentation of models, datasets, and workflows.</li><li>
Collaborate with product managers, software engineers, and other stakeholders to deliver production-grade AI solutions.</li></ul> 
Requirements 
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>
Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar frameworks).</li><li>
Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).</li><li>
Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API, DeepSpeech).</li><li>
Proficiency in Python and frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul></div>

AI Engineer (Mid-Level)

United Imaging Intelligence

<div>
 
 
 Job Description
 
 
 
 We are seeking a motivated AI Product Specialist to join our team. In this role, you will be responsible for understanding our AI products and their market landscape, and supporting sales and marketing initiatives. You will play a crucial role in communicating with customers, providing training, and ensuring successful product deployment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 1.
 
 Product Knowledge and Strategy Development
 
 
 <ul>
 <li>
 Gain a comprehensive understanding of our AI products, including their selling points, market positioning, and competitor strategies.
 </li>
 <li>
 Assist in the formulation of market strategies and the creation of promotional materials for designated regions.
 </li>
 </ul>
 
 2.
 
 Market Research
 
 
 <ul>
 <li>
 Conduct thorough market research within assigned regions, focusing on clinical workflows, competitor features, market pricing, and business models.
 </li>
 </ul>
 
 3.
 
 Customer Communication and Sales Support
 
 
 <ul>
 <li>
 Engage with customers to understand their needs and provide tailored product recommendations.
 </li>
 <li>
 Collaborate with the sales team to prepare bid documents for tenders and achieve sales targets.
 </li>
 </ul>
 
 4.
 
 Marketing Activities and Presentations
 
 
 <ul>
 <li>
 Support various marketing initiatives by creating relevant materials based on customer and medical expert requirements.
 </li>
 <li>
 Conduct professional presentations to effectively communicate product benefits.
 </li>
 </ul>
 
 5.
 
 Training and Development
 
 
 <ul>
 <li>
 Provide product training to users, including on-site training sessions.
 </li>
 <li>
 Regularly conduct internal and external training for team members.
 </li>
 </ul>
 
 6.
 
 Product Deployment Coordination
 
 
 <ul>
 <li>
 Coordinate and support the deployment of software products to users, developing and implementing effective deployment plans.
 </li>
 <li>
 Evaluate deployment results and provide timely feedback for continuous improvement.
 </li>
 </ul>
 
 7.
 
 Customer Relationship Management
 
 
 <ul>
 <li>
 Assist in maintaining strong customer relationships by effectively resolving on-site technical issues.
 </li>
 <li>
 Analyze and organize customer needs to promote product usage.
 </li>
 </ul>
 
 8.
 
 User Feedback and Product Iteration
 
 
 <ul>
 <li>
 Collect and relay user issues to the development team to assist in product iteration and enhancement.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 1.
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Biomedical Engineering, Medical Imaging, Clinical Medicine, Electronic Engineering, Computer Science, or a related field.
 </li>
 </ul>
 
 2.
 
 Experience
 
 
 <ul>
 <li>
 Previous work experience in medical imaging, medical devices, or healthcare information systems is preferred.
 </li>
 </ul>
 
 3.
 
 Skills
 
 
 <ul>
 <li>
 Excellent communication skills with a strong sense of responsibility and self-motivation.
 </li>
 <li>
 Strong logical analysis and problem-solving abilities.
 </li>
 <li>
 Proficiency in using Office software for product and data presentations.
 </li>
 </ul>
 
 4.
 
 Travel
 
 
 <ul>
 <li>
 Willingness and ability to travel as required
 </li>
 </ul>
 
 
</div>

AI Product 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><ul><li> 
Due to Saudization local mandates, only Saudi nationals will be considered at this time.</li></ul> 
What you'll build:
As the Solution Advisor (SA) covering SAP Business Data Cloud and AI solutions, you will be the go-to person for any solution or product questions within the sales team. You will leverage your deep expertise in data management, analytics and AI to support the entire sales cycle, from identifying opportunities to post-sale customer support. Additionally, you will assist customers in expanding their current SAP footprint to maximize value for their organization.<ul><li>
Provide deep solution-specific expertise to support new sales and adoption for key customers</li><li>
Provide both standard and customized/personalized solution demonstrations that bring SAP solutions to life and show customers the value of SAP.</li><li>
Support the Account Team by delivering solution presentations and events to identify and qualify new opportunities and drive adoption and consumption of SAP solutions</li><li>
Evaluate account qualification criteria to determine further investment in pursuing opportunities</li><li>
Establish yourself as a thought leader within the account team and fine-tune account strategy</li><li>
Collaborate with the team in creating overall themes and competitive differentiation</li><li>
Conduct vigorous dry runs on strategic deals and customer engagements</li><li>
Transition engagement to implementation partner/ Services teams effectively</li><li>
Engage with customers to continue selling the vision of SAP solutions and ensure eagerness for renewal</li><li>
Leverage digital assets throughout the customer engagement, including demos, presentations, and other content</li></ul> 
What you bring:<ul><li>
Professional experience with large software/IT organizations, preferably in a solution-specific segment</li><li>
SAP product experience in SAP HANA Cloud, SAP Datasphere, SAP Business Data Cloud, SAP Analytics Cloud and/or 3-5 years of relevant solutions/Lines of Business experience</li><li>
Working knowledge of Cloud, Hosted Services, and Software as a Service/Platform as a Service models in the Business-to-Business Environment</li><li>
Viewed as a solutions/Lines of Business/Industry expert across SAP with a track record of success</li><li>
Focus on creating compelling storylines and themes for customer interactions</li><li>
Ability to quickly understand customer business goals and ensure they are at the center of recommended solutions</li><li>
Passion and energy in all customer interactions</li></ul><ul><li> 
Due to Saudization local mandates, only Saudi nationals will be considered at this time.</li><li>One year Fixed term contract, with potential of being renewed.</li></ul> 
Where you belong:<ul><li>
Customer Advocate: Collaborate to complement solution expertise and support customers</li><li>
Global Digital Content Factory: Leverage digital assets created by the team throughout customer engagement</li><li>
Implementation Partner/Customer Services &amp; Delivery: Efficiently transition customer engagement for successful deployment and realization of solution value</li><li>
SAP Account Teams: Share best practices and collaborate on providing solutions and services support across the entire customer journey</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: 442874 | Work Area: Presales | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

Data & AI Solution Advisor (One-Year Fixed-Term Renewable Contract)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
<div></div><div>About us
</div><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><div></div><div>About the role
</div><div>The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on. 
 
Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
We are looking for candidates with12+ years Systems Engineering or related work experience 
 
 
Responsibilities will include:
<ul><li>Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
</li><li>Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
</li><li>Analyze and identify system level integration issues, interface with the software development, integration and test teams.
</li><li>Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
</li>Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility 
<li>
</li></ul> 
 
Minimum Qualifications
<ul><li>bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
</li>12+ years Systems Engineering or related work experience. 
<li>
</li></ul> 
 
Required Qualifications
<ul><li>Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
</li><li>Has experience in model level optimization using techniques like torch compile.
</li><li>Expertise in model architecture, backed by literature rationale and intuition
</li><li>Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
</li><li>Expertise in Model training and inference workflows.
</li><li>Hands-on Experience in C/C++, Python development (5+ years)
</li><li>Hands-on Experience with Object Orientated Design, and software development practices in general
</li><li>Experience with Source Code and Configuration management tools, git knowledge is required
</li></ul>Preferred Qualifications and Aptitudes
<ul><li>Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
</li><li>Experience in neural network architectures + ML compiler workload synthesis, a plus
</li><li>Prior working experience of hardware accelerators and hardware software co-design
</li><li>Experience of profiling software and optimization techniques
</li><li>Passion to drive to develop leading-edge &quot;deep learning&quot; framework and algorithms working on mobile and embedded platforms.
</li><li>A research mindset with expertise in software development
</li></ul></div><div>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul></div>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

<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> 
What you'll build 
You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 
<ul><li>
Work directly with Public Sector customers in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
</li><li>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
</li>Run agile cycles (PoC pilot<li> production), gather user feedback, and drive adoption in real business processes.
</li><li>Act as the &ldquo;bridge&rdquo; between Riyadh Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
</li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region. 
<li>
</li></ul>What you bring 
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus. 
In a nutshell &ndash; you have: 
<ul><li>
Usually 10+ years of professional experience</li><li>
Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li><li>
End to End process knowledge of fundamental Public Sector processes such as Budget Planning, Budget Execution, Grants Management or Funds Management.</li><li>
Knowledge of the Public Sector market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio</li><li>
Confidence in customer‑facing work and partner-facing work: discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.</li><li>
Software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, logistics, HR, public sector).</li><li>
Prototyping skills with tools like Claude Code or FIGMA.</li><li>
Fluent professional proficiency in English and Arabic, both written and spoken (as a must).</li></ul> 
And you are: 
<ul><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the KSA. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters. 
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<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: 450203 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI (Chief-) Product Expert for Public Sector

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