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TAKWEEN ADVANCE INDUSTRIES

Role Overview:We are seeking a hands-on Senior AI Engineer to design, build, and deploy enterprise AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.The ideal candidate combines strong AI expertise with software engineering skills and has experience taking AI applications from concept through production.Key Responsibilities:&middot; Design and develop production-grade Generative AI and LLM applications.&middot; Build and optimize RAG pipelines, including document processing, chunking, embeddings, retrieval, reranking, and response generation.&middot; Design and implement AI agents and agentic workflows capable of reasoning, tool calling, and interacting with enterprise systems.&middot; Develop AI capabilities for enterprise search, Q&amp;A, summarization, document analysis, extraction, and decision support.&middot; Integrate AI solutions with APIs, databases, document repositories, search platforms, and enterprise applications.&middot; Develop APIs and reusable AI services supporting multiple applications and use cases.&middot; Optimize prompts, retrieval strategies, model selection, context management, latency, scalability, and cost.&middot; Implement AI evaluation frameworks covering accuracy, hallucination, retrieval quality, task success, and performance.&middot; Implement guardrails and controls addressing prompt injection, data leakage, inappropriate tool usage, and other AI security risks.&middot; Deploy, monitor, troubleshoot, and continuously improve AI applications in production.Skills &amp; Qualifications:&middot; 4+ years of experience in AI/ML Engineering, Software Engineering, or related fields, with strong recent experience in Generative AI.&middot; Expert-level proficiency in Python.&middot; Strong hands-on experience with LLMs, RAG, embeddings, vector search, and prompt engineering.&middot; Experience building AI agents, tool/function calling, and agentic workflows.&middot; Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.&middot; Experience with PyTorch, Hugging Face Transformers, and open-source or commercial LLMs.&middot; Strong API and backend development experience, including integration with enterprise systems.&middot; Experience with AI evaluation, guardrails, LLM security, and production monitoring.&middot; Experience with cloud AI platforms.&middot; Experience with OCR, document intelligence, multimodal AI, and Arabic-language AI applications is highly desirable.&middot; Strong software engineering, problem-solving, communication, and technical leadership skills.Pay: From ﷼20,000.00 per monthWork Location: On the road

Senior AI Engineer

InnovationTeam

<div>Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment &mdash; GCP for public-cloud workloads, Humain sovereign cloud for classified data. 
 
 
 
 
Requirements 
Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases. 
Run pre-deployment evaluation
Accuracy baselines, regression and safety testing; evidence to justify GPU allocation. 
Optimize inference &mdash; quantization, batching, context sizing &mdash; against measured usage. 
Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC. 
Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing. 
Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift. 
Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL). 
 
 
 
 
Benefits 
5 years ML/AI engineering, in production LLM deployment with knowledge in 
Python, PyTorch, Hugging Face 
Kubernetes in production; GPU-served inference 
GCP Vertex AI or any equivellent cloud</div>

AI Engineer

<div>
 Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment &mdash; GCP for public-cloud workloads, Humain sovereign cloud for classified data.
 
 
 
 Requirements
 
 
 
 Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases.
 
 
 
 Run pre-deployment evaluation
 
 
 
 Accuracy baselines, regression and safety testing; evidence to justify GPU allocation.
 
 
 Optimize inference &mdash; quantization, batching, context sizing &mdash; against measured usage.
 
 
 Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC.
 
 
 Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing.
 
 
 Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift.
 
 
 Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL).
 
 
 
 Benefits
 
 
 
 5 years ML/AI engineering, in production LLM deployment with knowledge in
 
 
 Python, PyTorch, Hugging Face
 
 
 Kubernetes in production; GPU-served inference
 
 
 GCP Vertex AI or any equivellent cloud
</div>

Scale AI

<div>
 
 About Scale AI
 
 
 
 Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners.
 
 
 At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.
 
 
 
 Role Overview
 
 
 
 We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement&mdash;requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code.
 
 
 As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery
 </li>
 <li>
 Serve as the primary technical point of contact for KSA government stakeholders&mdash;translating complex engineering concepts into clear, accessible language for non-technical audiences
 </li>
 <li>
 Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery
 </li>
 <li>
 Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases
 </li>
 <li>
 Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services
 </li>
 <li>
 Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production
 </li>
 <li>
 Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies
 </li>
 <li>
 Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment
 </li>
 <li>
 Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus
 </li>
 <li>
 Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development
 </li>
 <li>
 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams
 </li>
 <li>
 Strong AI/ML engineering foundation&mdash;hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production
 </li>
 <li>
 Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces
 </li>
 <li>
 Proven experience in a customer-facing or client-embedded engineering role&mdash;comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders
 </li>
 <li>
 Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs
 </li>
 <li>
 Ability to translate complex government business requirements into practical, scalable engineering solutions
 </li>
 <li>
 Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences
 </li>
 <li>
 Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens
 </li>
 <li>
 Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred; Arabic language skills a plus
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Engineering Manager, Saudi Arabia

Artefact

<div>
 
 
 Gemini Director (Agentic AI) &mdash; Artefact Middle East
 
 
 
 
 
 
 Artefact MENA is looking for a client-facing Gemini Director to lead the Gemini Enterprise &amp; Agentic AI offering.
 
 
 
 
 
 This is a hybrid role involving solution architecture, hands-on engineering, technical pre-sales and business development.
 
 
 
 
 
 You'll partner with Artefact leadership, Google Cloud, and senior client stakeholders to spot opportunities, shape solutions, build demos and PoCs, and scale them into production AI programmes.
 
 
 
 
 
 
 What you'll do as the Gemini Director (Agentic AI):
 
 
 <ul>
 <li>
 Identify and shape Gemini Enterprise and agentic AI opportunities across new and existing clients
 </li>
 <li>
 Lead technical discovery sessions, workshops, demos, pitches and PoCs
 </li>
 <li>
 Translate business challenges into AI use cases, solution architectures and implementation roadmaps
 </li>
 <li>
 Design enterprise-grade solutions using Gemini, Vertex AI, AI agents, RAG, tool use and enterprise integrations
 </li>
 <li>
 Build prototypes and production solutions using Python, APIs, SDKs and cloud-native tech
 </li>
 <li>
 Embed evaluation, security, governance, observability and human-approval controls
 </li>
 <li>
 Help clients adopt Gemini Enterprise and AI-assisted development across their engineering lifecycle. Partner closely with Google Cloud on joint accounts, propositions and reusable solutions
 </li>
 <li>
 Support proposals, technical estimations and commercial discussions
 </li>
 <li>
 Turn early PoCs into enterprise-scale AI transformation programmes
 </li>
 </ul>
 
 
 
 
 
 What you bring
 
 
 <ul>
 <li>
 Experience as a GenAI Architect, AI Solution Architect, Lead AI Engineer, Forward Deployed Engineer or AI Solutions Engineer
 </li>
 <li>
 Hands-on track record building enterprise applications with frontier LLMs
 </li>
 <li>
 Strong grasp of agentic AI, RAG, tool use, context engineering, evaluation and LLMOps
 </li>
 <li>
 Solid Python, API integration and cloud engineering skills
 </li>
 <li>
 Experience deploying AI solutions on Google Cloud, AWS or Azure
 </li>
 <li>
 Confidence engaging CIOs, CTOs, CDOs and senior business leaders
 </li>
 <li>
 Background in technical pre-sales, consulting, solution engineering or client-led business development
 </li>
 <li>
 Ability to carry an opportunity from first idea through architecture, prototype and production
 </li>
 <li>
 An entrepreneurial, commercially-minded approach to building a new offering
 </li>
 <li>
 Gemini/Google Cloud experience is a strong plus &mdash; but deep experience with other frontier-model platforms works too
 </li>
 </ul>
 
 
 
 
 
 Success in year one looks like:
 
 Becoming Artefact MENA's go-to technical and commercial leader for Gemini Enterprise and agentic AI &mdash; building a strong pipeline, leading flagship client engagements, and creating reusable Gemini and agentic AI propositions.
 
 
 
 
 
 📍 Middle East | Artefact Middle East
 
 
 
 
</div>

Gemini Director (Agentic AI)

HUMAIN

<div>
 
 
 About HUMAIN
 
 
 
 HUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas - next-generation data centers, hyper-performance infrastructure &amp; cloud platforms, advanced AI Models, including the world&rsquo;s most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution.
 
 
 HUMAIN&rsquo;s end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy world-wide, HUMAIN is engineered for global competitiveness and national distinction.
 
 
 
 
 
 
 Minimum Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology or a related discipline.
 </li>
 <li>
 12+ years of progressive experience in solution engineering, enterprise architecture, systems integration or technology delivery.
 </li>
 <li>
 6+ years of leadership experience managing multi-disciplinary technical teams within a complex enterprise environment.
 </li>
 <li>
 Demonstrated experience leading solution design and delivery for large-scale technology initiatives in the resources, energy or adjacent industrial sectors.
 </li>
 <li>
 Proven experience in budget management, strategic planning and senior stakeholder engagement.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Master's degree in Engineering, Computer Science, Business Administration or a related field.
 </li>
 <li>
 Professional certification in enterprise architecture, cloud technologies, solution architecture or project/program management.
 </li>
 <li>
 Experience supporting pre-sales, bid management or commercially driven solution development activities.
 </li>
 </ul>
 
 
 
 
 
 Knowledge &amp; Skills:
 
 
 <ul>
 <li>
 Strong knowledge of solution engineering, enterprise architecture and systems integration methodologies.
 </li>
 <li>
 Ability to lead technical strategy execution across multiple teams and complex delivery portfolios.
 </li>
 <li>
 Strong commercial acumen with the ability to align technical solutions to business value and sector needs.
 </li>
 <li>
 Advanced stakeholder management, negotiation and executive communication skills.
 </li>
 <li>
 Knowledge of governance, risk management and quality assurance practices within technology delivery.
 </li>
 <li>
 Ability to assess emerging technologies and translate them into practical sector-relevant solution capabilities.
 </li>
 <li>
 Strong planning, budgeting and performance management capability.
 </li>
 <li>
 Leadership skills to build teams, develop capability and drive accountability across the function.
 </li>
 </ul>
 
 
 
</div>

Head of Solution Engineering (Resources & Energy)

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 enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 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 Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </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>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

Explore 42+ Senior stack engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

42 senior stack engineer jobs In Riyadh

Senior AI Engineer

AI Engineer

AI Engineer

Engineering Manager, Saudi Arabia

Gemini Director (Agentic AI)

Head of Solution Engineering (Resources & Energy)

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA