project engineer

sales engineer

civil engineer

mechanical engineer

ai developer

ai engineer

MASTER-WORKS

<div>Master Works is seeking an AI Engineer with strong generative AI prototyping experience to rapidly turn ideas into working AI-powered demos, proofs of concept, and early-stage products. The role sits between research and production engineering &mdash; combining hands-on use of large language models, multimodal models, retrieval-augmented generation, and agent frameworks to validate feasibility, explore new capabilities, and de-risk feature delivery. The role is central to accelerating AI innovation across the data, analytics, and intelligence portfolio, with a particular emphasis on bilingual (Arabic/English) AI use cases.<ul><li>
Rapidly design and build generative-AI prototypes and proofs of concept &mdash; from initial idea to working demo &mdash; using modern LLM APIs, open-source models, and prototyping frameworks.</li><li>
Design and implement retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategies, embedding generation, vector storage, and retrieval orchestration.</li><li>
Build agentic systems that use tool/function calling, planning, and multi-step reasoning to automate complex tasks; integrate AI agents with internal APIs, databases, and external services.</li><li>
Engineer prompts, system instructions, and structured-output schemas; iterate on prompt design through measurable evaluation rather than guesswork.</li><li>
Work with multimodal AI capabilities &mdash; text, vision, speech (STT/TTS), and document understanding &mdash; and combine them into coherent end-to-end AI pipelines.</li><li>
Build and run AI evaluation frameworks (offline benchmarks, LLM-as-judge, golden-set regression testing) to measure quality, accuracy, latency, and cost across model and prompt variants.</li><li>
Adapt and fine-tune open-source models (LoRA, QLoRA, full fine-tuning) when proprietary or domain-specific behaviour is required, especially for Arabic-language tasks.</li><li>
Apply responsible-AI practices &mdash; safety filtering, hallucination mitigation, prompt-injection defence, PII handling, and bias awareness &mdash; especially for sensitive or regulated environments.</li><li>
Hand off mature prototypes to production engineering teams, providing clear documentation, evaluation results, deployment notes, and migration guidance.</li><li>
Demo prototypes and AI capabilities to internal stakeholders and clients; explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Track and evaluate fast-moving developments in the generative-AI ecosystem (new models, tools, techniques, and providers) and recommend adoption where they materially improve outcomes.</li><li>
Collaborate cross-functionally with product, design, data, and software engineering teams to shape AI features end-to-end and ensure they deliver real user value.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related discipline.
</li><li>Postgraduate qualification (MSc/PhD) in Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field is preferred.</li><li>
Recognised certifications in machine learning, deep learning, generative AI, or cloud AI platforms (AWS, Azure, GCP) are a strong plus.</li><li>
3&ndash;5+ years of AI/ML engineering experience, with at least 1&ndash;2 years hands-on building generative-AI applications using modern LLMs.</li><li>
Demonstrable portfolio of shipped prototypes or production AI features &mdash; ideally including RAG systems, AI agents, or multimodal pipelines.</li><li>
Hands-on experience with leading LLM APIs (e.g., Anthropic Claude, OpenAI GPT, Google Gemini) and open-source model serving (e.g., Hugging Face, vLLM, Ollama).</li><li>
Strong Python proficiency, including modern AI libraries such as PyTorch, Hugging Face Transformers, LangChain or LlamaIndex, and standard data tooling.</li><li>
Working experience with embedding models, vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS), and retrieval evaluation techniques.</li><li>
Familiarity with rapid-prototyping tools (Streamlit, Gradio, Jupyter), API integration, and lightweight web back-ends.</li><li>
Experience designing AI evaluation harnesses (offline benchmarks, LLM-as-judge, golden sets) and using observability/tracing tools for AI systems.</li></ul><ul><li>
Exposure to fine-tuning techniques (LoRA, QLoRA, instruction tuning) and to Arabic-language NLP is strongly preferred.</li><li>
Working knowledge of containerisation (Docker), version control (Git), and cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI) is a strong plus.</li><li>
Excellent leadership and team development skills.</li><li>
Strong bias for action and a rapid-prototyping mindset; able to ship a working demo in days, not months.</li><li>
Comfortable working under uncertainty &mdash; rapidly forming hypotheses, running experiments, and iterating based on evidence.</li><li>
Strong analytical and problem-solving skills, with the discipline to evaluate AI behaviour quantitatively rather than relying on intuition alone.</li><li>
Excellent verbal and written communication, with the ability to demo AI capabilities and explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Curiosity and continuous-learning mindset; actively follows the rapidly evolving generative-AI landscape and brings new ideas back to the team.</li><li>
Collaborative team player; comfortable in cross-functional teams of researchers, software engineers, designers, and client business owners.</li><li>
Cultural awareness and sensitivity, particularly when designing AI experiences for Arabic-speaking users in regional contexts.</li></ul></div>

AI Engineer

<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)

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

Tamara

<div>Why Tamara?

We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.

Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. &amp; There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration. If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you 
 
Apply now and join the next generation of Builders! 
 
About Tamara's Builders Program 
 
At Tamara, we believe exceptional talent deserves an exceptional launchpad. 
 
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;s a career accelerator built for those who want to build, own, and raise the bar early. 
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You&rsquo;ll contribute immediately and grow at an accelerated pace. 
From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
 
 
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now. 

About the role

We&rsquo;re looking for a fresh graduate or early-career AI Engineer on a builder track.

This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.

You&rsquo;ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.

Your responsibilities
<ul>
<li>Build AI products that ship
<ul><li>Design and implement AI-powered features and internal tools.</li>
<li>Integrate models into real systems (APIs, workflows, dashboards, and operational processes).</li>
</ul></li><li>Work with LLMs in a production-ready way
<ul><li>Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.</li>
<li>Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).</li>
</ul></li><li>Own evaluation and quality
<ul><li>Define what &ldquo;good&rdquo; means: success metrics, offline tests, and human-in-the-loop review.</li>
<li>Set up evaluations for quality, safety, latency, and cost.</li>
</ul></li><li>Make AI reliable and safe
<ul><li>Add observability: logging, tracing, and monitoring for quality regressions.</li>
<li>Implement privacy and security controls (PII handling, access control, redaction where needed).</li>
<li>Participate in incident response and postmortems when AI systems misbehave.</li>
</ul></li><li>Partner across teams
<ul><li>Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.</li>
<li>Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.</li>
</ul></li><li>Use AI tools thoughtfully
<ul><li>Use AI assistants for prototyping, debugging, and documentation.</li>
<li>Validate outputs, document assumptions, and protect sensitive data.</li>
</ul>
</li></ul>Your expertise (must have)
<ul>
<li>Fresh graduate or &lt; 1 year of relevant experience (internships and projects count).</li>
<li>Solid programming fundamentals in Python (preferred) or another language used for backend services.</li>
<li>Strong foundations in:
<ul><li>Software engineering basics (APIs, testing, reliability)</li>
<li>Data handling (SQL and/or dataframes)</li>
<li>ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)</li>
</ul></li><li>Clear communication and a collaborative approach.</li>
</ul>
Nice to have
<ul>
<li>Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).</li>
<li>Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).</li>
<li>Exposure to MLOps concepts (experiment tracking, model registry, monitoring).</li>
<li>Familiarity with vector databases, search, or information retrieval.</li>
<li>Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).</li>
<li>Experience using AI assistants responsibly for coding and analysis.</li>
</ul>
What success looks like
<ul>
<li>You ship at least one AI feature or internal tool that is used by real users.</li>
<li>You set up a simple evaluation and monitoring loop so the system improves over time.</li>
<li>Your solutions balance quality, latency, and cost, with clear tradeoffs.</li>
<li>When the AI output is wrong or risky, you can debug, mitigate, and explain why.</li>
</ul>
All qualified individuals are encouraged to apply.</div>

Associate AI Engineer - Builders Program

SARJ

<div>Sarj.ai is hiring an AI/ML Engineer to train and deploy speech models that power our voice communications platform. We work in Python and PyTorch on GCP. Strong deep learning fundamentals highly appreciated.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Train large-scale speech models (STT/TTS)</li><li>
Work with modern speech architectures and push them to production</li><li>
Build and maintain ML training pipelines for real-time voice processing</li><li>
Develop evaluation frameworks and improve model performance</li><li>
Collaborate with product and engineering to ship AI-powered features</li></ul><h3 class="jobSectionHeader">
What we're looking for</h3><ul><li>
2+ years working with ML in production</li><li>
Strong Python + PyTorch/PyTorch Lightning</li><li>
Understanding of deep learning fundamentals</li><li>
Experience with speech/audio ML is a strong plus</li><li>
Experience with large-scale or distributed training</li><li>
Familiarity with GCP (Vertex AI, Cloud Run, BigQuery)</li></ul></div>

AI Research Engineer

Noon Academy

<div>About Noon Academy:
We&rsquo;re on a mission to radically change the way students learn. We started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity. The verdict is clear: students don't just tolerate hybrid, they love it.
We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
Hear about our vision directly from our CEO here.
Learn more about us: here
Why This Role Matters?
Running great schools at scale is an unsolved problem. Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
We call it the Ops OS &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for AI Systems Engineers who want to build things that matter
Role Summary
This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
What You'll Do<ul><li>
Investigate real problems &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.</li><li>
Build fast &mdash; go from messy problem spec working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.</li><li>
Ship products, not scripts &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!</li><li>
Design systems that compound &mdash; think in loops, not features. Data insight action feedback better data.</li><li>
Own your domain end-to-end &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.</li></ul>
What We're Looking For<ul><li>
You think before you build. You can explain a problem to a non-technical person in 30 seconds.</li><li>
You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.</li><li>
You're strong in data &amp; SQL, AI/LLMs, and product engineering.</li><li>
You&rsquo;re eager to learn and adopt new tools and ways of working.</li><li>
You build things that work, not things that look impressive on a slide.</li><li>
You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.</li><li>
You don't wait to be told. You find the problem, propose the solution, and drive it.</li><li>
Fluent in Arabic and English</li><li>
Based in Riyadh (or able to relocate by an agreed date)</li></ul>
Bonus Points<ul><li>
Experience with event-driven architectures or operational systems.</li><li>
You've built internal tools or ops platforms before.</li><li>
You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.</li></ul>
Why Noon?<ul><li>
Real impact &mdash; your work directly affects how thousands of students learn every day.</li><li>
Speed and autonomy &mdash; small team, big problems, zero bureaucracy.</li><li>
AI-native culture &mdash; we don't just talk about AI, we build with it daily.</li><li>
Well-funded &mdash; Series B closed, substantial recurring revenue, and accelerating.</li><li>
Mission that matters &mdash; every student deserves world-class teachers. We're making it happen.</li></ul>
Benefits
In addition to a competitive base salary, we offer:<ul><li>
Employee Stock Ownership Plan (ESOP)</li><li>
Performance-based bonus</li><li>
21 days of annual leave</li><li>
Full premium Medical coverage, including Family Dependent</li></ul>
If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.</div>

AI Systems Engineer

<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'll build: 
This role sits at the intersection of AI-driven systems, interaction design, and large-scale experience architecture. As a Gen AI Interaction Engineer Expert (UX), you will define next-generation paradigms for autonomous agents, adaptive workflows, and intelligent interfaces. You&rsquo;ll partner with senior product, engineering, and AI leaders to shape system behavior, influence data modeling decisions, and ensure scalable, human-centered agentic experiences. 
Expectations and tasks 
<ul><li>
Define and evolve core interaction paradigms for agentic and AI-driven experiences across surfaces.</li><li>
Shape data models and state schemas to align system behavior with user mental models and workflow needs.</li><li>
Develop high-fidelity prototypes demonstrating multi-agent orchestration, adaptive UI states, and reasoning transparency.</li><li>
Partner with senior leaders in Product, Engineering, and AI to influence roadmaps, architecture, and system constraints.</li><li>
Lead discovery, strategy, and alignment sessions across teams to uncover opportunities for agent-based workflows.</li><li>
Advance design systems to incorporate agent states, confidence levels, automation modes, and dynamic content patterns.</li><li>
Continuously experiment with AI tools to evolve organizational design workflows and prototyping velocity.</li><li>
Establish best practices for designing autonomous and semi-autonomous experiences with clarity, control, and trust.</li></ul> 
What you bring: 
You bring deep expertise in UX engineering, systems thinking, and AI-enhanced design. You are comfortable navigating ambiguity, structuring undefined problem spaces, and establishing frameworks teams can align on. Your hybrid skillset allows you to explore agentic behaviors, model UX-state data, and prototype intelligent interactions that demonstrate strategy, feasibility, and user value. 
Your strengths include:<ul><li>
Principal-level interaction design and system modeling expertise.</li><li>
Experience with AI/ML products, agentic workflows, and autonomous UI behaviors.</li><li>
Ability to influence data modeling, schema alignment, and information structure to support interaction patterns.</li><li>
Advanced proficiency with generative and AI-assisted design tools (Figma, Figma Make, Claude Code, Vercel workflows).</li><li>
Ability to drive cross-functional clarity in ambiguous spaces and align teams around experience direction.</li><li>
Strong narrative and communication skills, expressing complex system behaviors through prototypes, diagrams, and storytelling.</li></ul> 
About You 
<ul><li>
7+ years in UX engineering, interaction design, or hybrid design/engineering leadership roles.</li><li>
Strong portfolio demonstrating agentic systems, AI-informed prototypes, and platform-level experience strategy.</li><li>
Comfort working in fast-paced environments with ambiguous requirements and evolving AI capabilities.</li><li>
Experience shaping data structures, entity relationships, and state models that support complex interactions.</li><li>
Ability to guide teams through conceptual, strategic, and technical decision making without over-engineering.</li></ul> 
Where you belong: 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. 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 on working together 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 ambiguity in a fast‑evolving AI landscape. 
About the team
We are a global team of designers, researchers, strategists, and technologists passionate about shaping the future of AI-driven experiences. We collaborate across disciplines, explore new ideas fearlessly, and support one another in pushing both creative and technical boundaries. We value curiosity, inclusivity, and experimentation-believing that breakthrough ideas emerge when diverse perspectives connect.<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: 450205 | Work Area: Software-User Experience | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Gen AI Interaction Engineer (UX)

Explore 532+ Ai engineer in Riyadh this May. Find roles across top companies and apply now to boost your career.