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data center facility engineer (mechanical), aws Jobs in Riyadh

facility engineer

facilities maintenance engineer

Confidential

Qualifications: * Bachelor's degree in electrical engineering or mechanical engineering.* Minimum2- 5 years of experience in Facilities Management, Operation &amp; Maintenance, or Building Projects.* Proven experience in the handover of facilities/buildings from contractors and consultants.* Hands-on experience in Testing &amp; Commissioning (T&amp;C) and witnessing commissioning activities.* Strong knowledge of MEP systems (Electrical, HVAC, Plumbing, Fire Protection, ELV, and BMS).* Experience in reviewing As-Built Drawings, O&amp;M Manuals, Warranties, Asset Registers, and Handover Documentation.* Familiarity with international standards and best practices related to building commissioning and facilities management.* Good communication skills . Key Responsibilities: * Lead the technical handover of university facilities from contractors and consultants.* Attend, witness, and verify all Testing &amp; Commissioning (T&amp;C) activities for building systems.* Review and verify all handover documents, including As-Built Drawings, O&amp;M Manuals, Warranties, Test Reports, and Asset Registers.* Ensure all MEP systems are fully operational and compliant with project specifications before acceptance.* Coordinate with contractors, consultants, and internal stakeholders to close all punch list items and outstanding defects.* Support the transition of buildings from construction to operation and maintenance.* Conduct technical inspections and recommend acceptance or rejection based on project requirements.* Prepare handover status reports and monitor progress until final acceptance.* Support the FM in establishing preventive maintenance requirements and asset data before operational handover.

Facilities Management Engineer (FM Engineer)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Information Technology Group, Information Technology Group &gt; IT Engineering
General Summary:
About the Role
Qualcomm is leveraging its expertise in hardware‑accelerated AI to deliver powerful, energy‑efficient generative AI and computer vision workloads at rack‑scale in modern data centers. The Qualcomm Cloud AI team develops and operates a vertically integrated hardware and software platform for large‑scale AI inference acceleration across global deployments.
We are seeking a Senior Data Center Operations Engineer to support Qualcomm&rsquo;s Cloud AI data center environments through hands-on administration of MAAS, virtual machines, server operating systems, and operational infrastructure. This role is responsible for reliable deployment, imaging, provisioning, troubleshooting, and maintenance of systems that support Cloud AI deployments.
The role requires strong senior-level technical execution, practical troubleshooting judgment, coordination across internal and external teams, and disciplined ownership of documentation, inventory, and operational procedures.
YOU MUST BE A SAUDI NATIONAL TO BE CONSIDERED FOR THIS ROLE
Key Responsibilities will include
Operational Excellence &amp; Reliability
<ul><li>Administer MAAS servers, including deployment configuration, bare-metal provisioning, image management, imaging workflows, and troubleshooting of provisioning issues.
</li><li>Provision, configure, and support virtual machines, including compute, memory, storage, and network resource allocation based on operational requirements.
</li><li>Install, patch, maintain, and troubleshoot server operating systems across bare-metal and virtualized environments.
</li></ul>Hardware &amp; Infrastructure Leadership
<ul><li>Support day-to-day server resources, storage coordination, and infrastructure incidents impacting Cloud AI data center operations.
</li><li>Troubleshoot server hardware, operating system, provisioning, VM, storage, and infrastructure issues, escalating when needed and supporting resolution through closure.
</li><li>Coordinate with HUMAIN, internal Qualcomm teams, and vendors to support deployments, maintenance activities, incident response, and operational follow-up.
</li><li>Maintain accurate system inventory, deployment records, configuration information, operational documentation, and standard operating procedures.
</li></ul>Automation, Tooling &amp; Continuous Improvement
<ul><li>Contribute to improvements in monitoring, alerting, ticketing, and operational workflows to reduce repeat issues and improve support efficiency.
</li><li>Develop and maintain runbooks, checklists, and troubleshooting procedures for MAAS, VM provisioning, OS maintenance, and infrastructure support activities.
</li><li>Participate in incident reviews and help translate lessons learned into practical operational process improvements.
</li></ul>Cross‑Functional Collaboration
<ul><li>Serve as a trusted technical partner to Cloud AI software, systems, security, supply chain, and facilities teams.
</li><li>Communicate complex operational issues, tradeoffs, and recommendations clearly to engineers, leadership, and external partners.
</li><li>Influence operational roadmaps and priorities through data‑driven insights and recommendations.
</li></ul>Required Qualifications &amp; Experience
You demonstrate senior-level engineering ownership through hands-on technical depth, sound troubleshooting judgment, and the ability to execute independently across operational infrastructure responsibilities:
<ul><li>Hands-on experience administering MAAS or similar bare-metal provisioning platforms, including deployment, image management, and troubleshooting.
</li><li>Experience provisioning, configuring, and supporting virtual machines, including resource allocation and operational support.
</li><li>Strong Linux or server operating system administration experience, including installation, patching, maintenance, and troubleshooting.
</li><li>Ability to diagnose infrastructure incidents involving compute, storage, operating systems, provisioning workflows, and virtualization layers.
</li><li>Working knowledge of data center server hardware, storage coordination, networking basics, and operational support processes.
</li><li>Experience coordinating with internal engineering teams, external partners, and vendors to resolve operational issues and support deployments.
</li><li>Strong documentation discipline, including system inventory, configuration records, runbooks, and operational procedures.
</li><li>Clear written and verbal communication skills, with the ability to provide concise operational updates, document issues, and follow through on action items.
</li></ul>Nice‑to‑Have Experience
<ul><li>Experience designing or operating large‑scale AI inference platforms.
</li><li>Proficiency in Python, Bash, or similar scripting languages for automation.
</li><li>Experience with incident management, ticketing systems, and change management processes.
</li><li>Familiarity with hybrid cloud or cloud‑adjacent architectures.
</li><li>Exposure to data center compliance and security standards (e.g., ISO 27001, SOC 2).
</li></ul>Minimum Qualifications
<ul><li>Associate of Bachelor&rsquo;s degree in Electrical Engineering, Information Systems, Computer Science or related field with 6+ years of experience
</li><li>Significant hands‑on experience with computer hardware, servers, networking, and data center operations.
</li></ul>Preferred Qualifications
<ul><li>Industry certifications such as CompTIA Linux+, CCNA, CDCP, or equivalent demonstrated expertise.
</li></ul>Physical Requirements
<ul><li>Ability to frequently transport, install, and rack equipment weighing at least 25 lbs.
</li><li>Ability to work in data center environments involving standing, lifting, and equipment installation.
</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>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>3+ years of IT-related work experience with a Bachelor's degree.
</li></ul>OR
 
5+ years of IT-related work experience without a Bachelor&rsquo;s degree.
 
 
<ul><li>Completed advanced degrees in a relevant field may be substituted for up to two years (Master&rsquo;s = one year, Doctorate = two years) of work experience.
</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><div><div><div><div><div><div>Applicants : 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></div></div></div></div></div></div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center Operations Engineer, Senior – Cloud AI - Riyadh, KSA

Worley

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
1. Position Overview
We have been awarded a long-term engagement to support a large-scale industrial energy efficiency improvement program. The successful candidate will serve as a Senior Technical Consultant (Owner's Engineer / Resident SME) , providing expert technical oversight and advisory services across the full lifecycle of energy efficiency projects.
The role involves supporting program design, reviewing energy audit deliverables, validating energy conservation measures (ECMs), overseeing retrofit implementation, verifying energy savings, and contributing to capability development initiatives. The consultant will act as a trusted technical advisor, ensuring the successful delivery of energy performance improvements across multiple industrial facilities.
2. Key Responsibilities
2.1 Technical Advisory &amp; Engineering Support
&middot; Provide technical leadership for industrial energy efficiency and optimization projects.
&middot; Assess and optimize major utility systems, including steam, electrical power, compressed air, cooling, and process utilities.
&middot; Identify energy-saving opportunities and develop energy performance improvement strategies.
&middot; Conduct benchmarking and performance assessments against industry best practices.
&middot; Support program planning, implementation, and technical decision-making.
2.2 Audit Review, Validation &amp; Technical Assurance
&middot; Review and evaluate Walkthrough Assessments, Investment Grade Energy Audits (IGA), Retrofit Designs, and Measurement &amp; Verification (M&amp;V) reports.
&middot; Validate energy baselines, Energy Conservation Measures (ECMs), projected savings, and implementation methodologies.
&middot; Assess the technical feasibility and operational impact of proposed energy efficiency initiatives.
&middot; Ensure compliance with relevant international standards and protocols, including ISO 50001, ASHRAE Guidelines, and IPMVP.
2.3 Techno-Economic Evaluation
&middot; Perform and review financial assessments, including NPV, IRR, payback period, and lifecycle cost analyses.
&middot; Validate CAPEX, OPEX, and energy-saving assumptions used in business cases.
&middot; Support investment prioritization and decision-making through robust economic evaluations.
2.4 Program Governance &amp; Stakeholder Management
&middot; Support project governance and key stage-gate approvals.
&middot; Provide independent technical recommendations and risk assessments.
&middot; Liaise with clients, auditors, contractors, and project stakeholders to ensure alignment and successful project execution.
&middot; Monitor project progress and support issue resolution during implementation.
2.5 Knowledge Transfer &amp; Capacity Building
&middot; Develop technical guidelines, standard operating procedures (SOPs), templates, and best-practice documentation.
&middot; Deliver technical training sessions, workshops, and knowledge-sharing programs.
Support the development of client energy management capabilities and continuous improvement processes.
Qualifications &amp; Experience
Education
&middot; Bachelor's degree in Engineering (Energy, Electrical, Mechanical, Chemical, or related discipline).
&middot; Master's degree in Energy Management or a related field is advantageous.
Professional Certifications
&middot; Certified Energy Manager (CEM), CMVP, PE, PMP, or equivalent professional certifications are desirable but not mandatory.
Experience
&middot; Experienced in industrial energy efficiency, energy management, process optimization, or utility system performance improvement.
&middot; Demonstrated experience in conducting or reviewing energy audits, retrofit projects, and Measurement &amp; Verification activities.
&middot; Experience within energy-intensive industries such as cement, steel, glass, ceramics, mining, petrochemicals, or manufacturing is highly desirable.
&middot; Strong understanding of industrial utilities, energy systems, and energy performance improvement methodologies.
Skills
&middot; Strong analytical and techno-economic evaluation capabilities.
&middot; Excellent technical report review and validation skills.
&middot; Knowledge of ISO 50001, ASHRAE standards, and IPMVP protocols.
&middot; Effective stakeholder engagement and communication skills.
&middot; Ability to work independently while providing technical leadership within multidisciplinary teams.
Moving forward together
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Energy Effiencey Engineer

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)

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

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>

Explore 34+ Facilities maintenance engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

34 facilities maintenance engineer jobs In Riyadh

Facilities Management Engineer (FM Engineer)

Data Center Operations Engineer, Senior – Cloud AI - Riyadh, KSA

Energy Effiencey Engineer

Gemini Director (Agentic AI)

Agentic AI, Engineer

AI Engineer

AI Engineer