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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)

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

MASTER-WORKS

<div>Master Works is looking for an Agentic AI, Engineer to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.
Key Responsibilities:<ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul>
Job Location: HQ</div>

Agentic AI, Engineer

Mindstream

HIRING &ndash; DATA SCIENTIST Location: Dhahran, Saudi Arabia Experience: 6&ndash;14 YearsMind Stream is seeking a highly skilled and experienced Data Scientist to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced AI and Machine Learning solutions, ranging from Agentic AI workflows to Time-Series Forecasting and Anomaly Detection models.Key Responsibilities<ul><li>Design and deploy Generative AI (GenAI) solutions using LLMs, RAG, and Vector Databases.</li><li>Build multi-agent AI applications using LangGraph, LangChain, CrewAI, and AutoGen.</li><li>Develop and deploy Time-Series Forecasting and Anomaly Detection models.</li><li>Productionize ML models using Python, FastAPI, MLflow, Docker, and Kubernetes.</li><li>Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization.</li><li>Implement and maintain MLOps practices for end-to-end machine learning lifecycle management.</li></ul>Requirements<ul><li>6&ndash;14 years of professional experience in Data Science, Machine Learning, or a related field.</li><li>Strong programming skills in Python with hands-on experience using FastAPI.</li><li>Experience with GenAI technologies, LLMs, prompt engineering, RAG, and embeddings.</li><li>Familiarity with Agentic AI frameworks and multi-agent workflows.</li><li>Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.</li><li>Knowledge of Cloud Platforms and MLOps practices.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Application Question(s):<ul><li>How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence?</li><li>How many years of hands-on experience do you have with Python?</li><li>Do you have professional experience developing APIs using FastAPI?</li><li>What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings?</li><li>Do you have hands-on experience developing multi-agent AI applications or agentic workflows?</li><li>Do you have experience developing Time-Series Forecasting or Anomaly Detection models?</li><li>Do you have hands-on experience with MLflow, Docker, and Kubernetes?</li><li>Do you have experience with CI/CD pipelines and MLOps practices?</li><li>Which cloud platforms have you worked with? (AWS / Azure / GCP / Other)</li><li>Have you productionized and deployed Machine Learning or AI models at scale?</li><li>Are you willing to work full-time in Dhahran, Saudi Arabia?</li><li>What is your notice period or earliest joining date?</li><li>What is your current and expected monthly salary in SAR?</li></ul>Work Location: In person

DATA SCIENTIST

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

Globant

<div>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. 
We are looking for an experienced Technical Project Manager to lead the delivery of a technology program for a premier banking institution in the UAE. This role sits at the intersection of technical delivery, agile program governance, and regulatory compliance. It requires someone equally comfortable running sprint ceremonies as they are briefing senior banking stakeholders on risk and delivery status.
The successful candidate will manage the end-to-end delivery of software initiatives&mdash;including emerging AI agentic solutions&mdash;within a highly regulated banking environment, ensuring alignment with regulatory standards, PCI DSS compliance, and internal governance frameworks.
Key Responsibilities
<ul><li>Own end-to-end delivery of technical projects and programs, managing scope, timeline, budget, and quality across multiple concurrent workstreams.
</li><li>Run and continuously improve Agile ceremonies (sprint planning, backlog refinement, stand-ups, reviews, retrospectives) across cross-functional engineering, product, and QA teams.
</li><li>Manage program governance by maintaining RAID logs (risks, assumptions, issues, dependencies), tracking cross-team dependencies, and driving timely risk mitigation.
</li><li>Act as the primary point of coordination between the delivery team and client stakeholders, translating technical progress into clear, business-relevant updates for senior executives.
</li><li>Oversee delivery of AI agentic and software engineering initiatives, working closely with engineering leads to ensure technical feasibility, architecture decisions, and realistic timelines.
</li><li>Ensure all delivery activities comply with regional central bank regulatory requirements, PCI DSS standards, and internal information security/audit policies.
</li><li>Coordinate SIT, UAT, and security/penetration testing phases, ensuring clear ownership between delivery and regulatory sign-off teams.
</li><li>Prepare and present executive-level reporting (steering committee decks, scope trackers, roadmaps, RAG status reports) tailored to senior banking leadership.
</li><li>Facilitate change management and governance ceremonies to document and approve scope changes, decisions, and commercial impacts through proper channels.
</li><li>Proactively identify delivery blockers, ambiguities, and process gaps (e.g., SLA gaps, terminology misalignment) and drive them to resolution before they impact delivery timelines.
</li></ul>Required Skills &amp; Experience
<ul><li>9+ years of project/program management experience, with a strong track record of delivering technology projects within financial services or banking.
</li><li>Proven hands-on experience managing Agile software development delivery (Scrum/Kanban/SAFe), including sprint governance, backlog management, and release planning.
</li><li>Exposure to AI agentic systems or generative AI product development (e.g., multi-agent orchestration, agentic workflows, or AI assistant platforms).
</li><li>Working knowledge of banking regulatory frameworks (including CBUAE standards, PCI DSS, and compliance coordination).
</li><li>Strong command of Agile governance disciplines: risk management, dependency tracking, RAID logs, and RACI frameworks in multi-vendor or client/delivery-partner environments.
</li><li>Excellent stakeholder communication skills with the ability to translate complex technical topics for executive audiences.
</li><li>Experience utilizing tools such as Jira, Linear, Confluence, or equivalent project tracking systems.
</li><li>Bachelor's degree in Computer Science, Information Technology, Business, or a related field.
</li></ul>Preferred Qualifications
<ul><li>Certifications: PMP, PRINCE2, PMI-ACP, CSM, or SAFe.
</li><li>Prior experience delivering technology programs directly for or within a UAE/GCC banking institution.
</li><li>Familiarity with KYC/AML workflows, financial data connectivity, or regulatory auditability requirements for AI systems.
</li><li>Experience managing multi-vendor delivery models (client + consulting partner) in regulated industries.
</li></ul>This job can be filled in Dubai/UAE . 
Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.
We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .</div>

Tech Project Manager

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Test Engineering
General Summary:
About the Role
The role focuses on the configuration, operation, and continuous improvement of large‑scale AI inference systems in a datacenter environment. The engineer will support critical AI use cases by ensuring Qualcomm&rsquo;s AI infrastructure is reliable, scalable, and production‑ready for advanced machine‑learning workloads.
The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability to work independently on complex problem areas while collaborating closely with cross‑functional teams across hardware, software, and machine learning.
Ideal candidate will have 8+ years of experience in SRE
Key Responsibilities will include
1. AI Infrastructure
<ul><li>Define and apply best-practice configurations, deploy, and operate large-scale AI inference systems supporting critical AI workloads.
</li><li>Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters.
</li><li>Develop and maintain software tools and support infrastructure around AI software stacks.
</li></ul>2. AI &amp; ML Engineering
<ul><li>Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads.
</li><li>Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services.
</li><li>Work with models, systems, and software teams to improve model performance on AI100 deployments.
</li><li>Identify and implement optimizations for workloads running on multi‑SoC and multi‑card systems.
</li></ul>3. Site Reliability Engineering (SRE)
<ul><li>Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization.
</li><li>Support production ML systems using MLOps tools and operational best practices.
</li><li>Contribute to incident reviews, operational documentation, and continuous reliability improvements.
</li></ul>4. Observability &amp; Tooling
<ul><li>Define and implement optimal configuration strategies for large-scale AI inference systems, including deployment, operation, and support of critical AI workloads and maintain observability tools, dashboards, and alerts to monitor system health and reliability.
</li><li>Monitor infrastructure and services using tools such as Prometheus, Grafana, CloudWatch, and custom telemetry.
</li><li>Create and maintain technical documentation, runbooks, and knowledge‑base articles.
</li></ul>5. Automation &amp; CI/CD
<ul><li>Develop automation to reduce manual operational tasks and improve system reliability.
</li><li>Support CI/CD pipelines for AI service and agent deployment.
</li><li>Apply Infrastructure‑as‑Code practices using tools such as Terraform and Ansible.
</li></ul>Required Skillset
1. AI &amp; Deep Learning
<ul><li>Experience working with AI/ML workloads such as LLMs, NLP, Vision, Audio, or Recommendation systems.
</li><li>Understand ML inference concepts including batching, token streaming, and performance considerations.
</li><li>Hands‑on experience with PyTorch and familiarity with modern ML frameworks.
</li><li>Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments.
</li></ul>2. AI Operations
<ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul>3. Programming, Software Configuration &amp; Configuration Strategy
<ul><li>Strong programming skills in Python with experience building and supporting production systems.
</li><li>Experience with scripting and automation using Python and Bash.
</li><li>Familiarity with configuration management, orchestration tools, and best-practice configuration strategies for production AI systems.
</li></ul>4. Systems &amp; Infrastructure
<ul><li>Strong Linux fundamentals include shell, containers, system services, and networking basics (DNS, TLS, HTTP/gRPC).
</li><li>Experience working with cluster schedulers such as Slurm or equivalent systems.
</li><li>Experience operating distributed systems with high availability and fault tolerance.
</li></ul>5. Observability &amp; Monitoring
<ul><li>Hands‑on experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Loki.
</li><li>Understanding of incident management, service health metrics, and system reliability monitoring.
</li></ul>6. DevOps &amp; SRE Practices
<ul><li>Solid understanding of SDLC, release processes, and operational reliability practices.
</li><li>Familiarity with CI/CD pipelines and Infrastructure‑as‑Code tools.
</li></ul>Preferred Skillset
<ul><li>Experience with GenAI, Agentic AI systems, or LLM orchestration frameworks.
</li><li>Exposure to LangChain, AutoGen, or RAG‑based systems.
</li><li>Experience with additional ML frameworks such as TensorFlow, JAX, or Ray.
</li><li>Knowledge of GPU/accelerator‑based systems and high‑performance networking (RDMA, InfiniBand, RoCE).
</li><li>Experience with advanced MLOps workflows or large‑scale AI platform operations.
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li></ul><ul><li>12+ years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments
</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 6+ years of Software Test Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Test Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.
 
 
<ul><li>2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
</li></ul>*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.
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Staff/Senior Staff Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

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