ai engineer

SEDER GROUP

<div>
 
 
 About Us
 
 
 
 Seder Group is a leading Saudi organization providing integrated services across multiple sectors throughout the Kingdom of Saudi Arabia. We are committed to delivering excellence, innovation, and sustainable solutions that support the Kingdom's growth.
 
 
 
 
 
 
 About the job
 
 
 
 We are seeking a highly skilled
 
 
 Senior AI Engineer to join our growing team in Riyadh. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered solutions, with hands-on experience in Computer Vision, Natural Language Processing, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). You will play a key role in developing innovative AI applications that drive business value and enhance customer experiences.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI and machine learning solutions for business applications.
 </li>
 <li>
 Build and optimize Computer Vision (CV) models for image and video analysis.
 </li>
 <li>
 Develop Natural Language Processing (NLP) applications, including text classification, information extraction, and language understanding.
 </li>
 <li>
 Design and implement intelligent chatbots and virtual assistants powered by Large Language Models (LLMs).
 </li>
 <li>
 Develop and optimize Retrieval-Augmented Generation (RAG) systems for enterprise AI solutions.
 </li>
 <li>
 Integrate Text-to-Speech (TTS) and Speech-to-Text (STT) technologies into AI applications.
 </li>
 <li>
 Deploy AI models on cloud platforms and ensure scalability, security, and performance.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and deliver AI-driven products.
 </li>
 <li>
 Optimize model performance through testing, monitoring, and continuous improvement.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
 </li>
 <li>
 3&ndash;5 years of experience in AI/ML engineering or a related role.
 </li>
 <li>
 Strong experience in Computer Vision (CV).
 </li>
 <li>
 Strong experience in Natural Language Processing (NLP).
 </li>
 <li>
 Hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, or similar models.
 </li>
 <li>
 Experience in designing and implementing Retrieval-Augmented Generation (RAG) solutions.
 </li>
 <li>
 Experience developing AI-powered chatbots and conversational AI applications.
 </li>
 <li>
 Experience with Text-to-Speech (TTS) and Speech-to-Text (STT) technologies.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent programming and software engineering practices.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 <li>
 Passion for innovation and emerging AI technologies.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Senior AI Engineer

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>Ability to travel to customer sites as needed to ensure client success
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer, Arabic Speaking

HUED | هيود

<div>
 
 
 Job Summary
 
 
 
 We are seeking an experienced AI Applications / Solutions Engineer to design, build, and deploy intelligent solutions powered by modern AI technologies. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) systems, with the ability to integrate AI models with enterprise data and business workflows.
 
 
 This role requires a strong software engineering background combined with hands-on experience in developing scalable AI-driven applications, optimizing model performance, and delivering production-ready solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
 </li>
 <li>
 Develop effective prompt engineering strategies to improve AI output quality, consistency, and reliability.
 </li>
 <li>
 Prepare and process structured and unstructured datasets for AI model consumption, including data cleaning, chunking, and embedding generation.
 </li>
 <li>
 Integrate AI systems with internal platforms, APIs, and business applications.
 </li>
 <li>
 Work with vector databases such as Pinecone or FAISS for semantic search and knowledge retrieval.
 </li>
 <li>
 Evaluate model performance and continuously improve solution accuracy, latency, and scalability.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI use cases and deliver business-driven solutions.
 </li>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and GenAI technologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Software Engineering, AI, or a related field.
 </li>
 <li>
 Minimum 4 years of software development experience.
 </li>
 <li>
 Recent hands-on experience in Artificial Intelligence, particularly in LLM and GenAI applications.
 </li>
 <li>
 Strong understanding of Large Language Models (LLMs) and their practical applications.
 </li>
 <li>
 Proven experience in designing and implementing Generative AI solutions.
 </li>
 <li>
 Strong experience in Prompt Engineering.
 </li>
 <li>
 Hands-on experience building RAG solutions.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Experience in data preparation for AI systems (Cleaning, Chunking, Embedding).
 </li>
 <li>
 Experience working with vector databases such as Pinecone or FAISS.
 </li>
 <li>
 Familiarity with Fine-Tuning techniques is a strong plus.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

RIME Platform

<div>
 Welcome to where every role drives real change. At Rime, we don't just offer jobs, we offer the chance to shape industries and transform communities. Join professionals who wake up knowing their work matters, solving challenges that impact millions. Whether leading breakthrough initiatives or starting your journey, you'll work on projects that leave a lasting legacy. Every decision, every idea here creates ripple effects that matter. Ready to do work that matters? Explore our roles and join those making a real difference.
 
 
 Description
 
 
 The Role
 
 
 
 
 We are seeking an experienced
 
 Edge AI/CV Orchestration Engineer
 
 to enhance and scale our core engine that manages AI workloads on resource-constrained edge devices.
 
 
 
 Your primary mission is to improve the "brain" of our system: the orchestration engine that decides which AI tasks run, when they run, and how they perform on hardware like the
 
 NVIDIA Jetson Orin Nano
 
 . You will be the bridge between our backend infrastructure and our deployed physical hardware, ensuring our edge devices operate efficiently, reliably, and at scale.
 
 Requirements
 
 
 Required Qualifications (Must-Haves)
 
 
 
 <ul>
 <li>
 
 
 
 Proven Experience:
 
 3-5+ years of experience in backend development, systems programming, or DevOps, with a focus on distributed or embedded systems.
 
 
 </li>
 <li>
 
 
 
 Expert Python:
 
 Strong proficiency in Python, especially for building backend services, asynchronous programming (e.g., asyncio), and system-level scripting.
 
 
 </li>
 <li>
 
 
 
 NVIDIA Jetson Expertise:
 
 Demonstrable, hands-on experience working with the NVIDIA Jetson platform (e.g., Orin Nano, Xavier NX, AGX). You should be comfortable with the JetPack SDK and its tools.
 
 
 </li>
 <li>
 
 
 
 Deep Linux Knowledge:
 
 Strong command of the Linux operating system. You must understand system administration, process management, shell scripting, networking, and performance tuning (e.g., using top, htop, perf).
 
 
 </li>
 <li>
 
 
 
 Backend Systems:
 
 Solid experience designing, building, and maintaining APIs and microservices.
 
 
 
 
 </li>
 </ul>
 
 
 
 ⭐ Preferred Qualifications (Nice-to-Haves)
 
 
 
 <ul>
 <li>
 
 
 
 Containerization:
 
 Experience with Docker, containerd, and/or edge-focused Kubernetes (K3s, MicroK8s).
 
 
 </li>
 <li>
 
 
 
 NVIDIA Stack:
 
 Direct experience with the NVIDIA stack is a major plus, especially
 
 NVIDIA DeepStream
 
 , TensorRT, or Triton Inference Server.
 
 
 </li>
 <li>
 
 
 
 AI/CV Exposure:
 
 A good understanding of the challenges in deploying computer vision or machine learning models.
 
 
 </li>
 <li>
 
 
 
 Other Languages:
 
 Experience with C++ or Go for performance-critical components.
 
 
 </li>
 <li>
 
 
 
 Fleet Management:
 
 Experience with IoT fleet management tools (e.g., AWS IoT Greengrass, Azure IoT Edge, or Balena).
 
 
 
 </li>
 </ul>
 Roles And Responsibilities
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 
 
 Engine Enhancement:
 
 Design, develop, and optimize new features for our Python-based backend orchestration engine.
 
 
 </li>
 <li>
 
 
 
 System Management:
 
 Implement robust solutions for resource allocation (CPU, GPU, memory), task scheduling, and priority management across a fleet of edge devices.
 
 
 </li>
 <li>
 
 
 
 Performance Optimization:
 
 Profile and fine-tune the performance of AI/CV pipelines on the Jetson platform, diving deep into the Linux environment to resolve bottlenecks.
 
 
 </li>
 <li>
 
 
 
 Backend &amp; API Development:
 
 Build and maintain scalable backend services and APIs (e.g., REST, gRPC) that allow for remote deployment, monitoring, and updating of tasks.
 
 
 </li>
 <li>
 
 
 
 Deployment &amp; CI/CD:
 
 Improve automated deployment pipelines for pushing new AI models and orchestration logic to devices in the field.
 
 
 </li>
 <li>
 
 
 
 Troubleshooting:
 
 Act as the key troubleshooter for complex system-level issues that span AI models, our orchestration code, and the underlying Linux OS on the Jetson hardware.
 
 
 
 </li>
 </ul>
</div>

Back-End Engineer

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
 
 
 
 We are looking for 8+ years Software Engineering or related work experience
 
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Improve and optimize key Deep Learning models on Qualcomm AI 100
 </li>
 <li>
 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
 </li>
 <li>
 Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
 </li>
 <li>
 Build software tools and ecosystem around AI SW Stack.
 </li>
 <li>
 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
 </li>
 <li>
 Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
 </li>
 <li>
 Optimize the entire deep learning pipeline including graph compiler integration
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Desirable Skills And Aptitudes
 
 
 
 
 Required Skills and Aptitude
 
 
 
 <ul>
 <li>
 Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
 </li>
 <li>
 Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Very strong hold on Pytorch and JIT.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead a development effort.
 </li>
 <li>
 Mentors and guides team members through influence and example, without direct people‑management responsibility
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experiences to run workloads on large scale heterogeneous clusters is a plus
 </li>
 <li>
 Knowledge of compiler is a plus.
 </li>
 <li>
 Hands-on experience with CUDA, CUDNN is a plus.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 8+ years Software Engineering or related work experience.
 </li>
 <li>
 2+ years experience with Programming Language such as C++, Python.
 
 
 
 </li>
 </ul>
 
 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>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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).
 
 
 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>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Competitive Salary!
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

Forward Deployed Engineer

Explore 133+ Ai engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.