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ai automation (llms, rag) engineer Jobs in Riyadh

ai automation (llms, rag) engineer

ai automation llms rag engineer

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

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AI/ML Engineer – Agentic AI

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking an AI Solution, Engineer who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.
Key Responsibilities:<ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul>
Preferred Skills<ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul>
Job location: HQ</div>

AI Solution, Engineer

FlyAkeed

<div>About FlyAkeed:
FlyAkeed is a leading online platform dedicated to simplifying the travel booking process for flights and hotels. Established in 2017 and headquartered in Riyadh, Saudi Arabia, we are committed to delivering an exceptional travel experience for our clients.
Highlights:
Current funding stage: Series A
Supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners. 
 
Role Definition
A Go-To-Market (GTM) Engineer is a hybrid technical and revenue-focused role that bridges Sales, Marketing, Growth, Revenue Operations, and Engineering. The role is responsible for designing, building, integrating, and automating the technical infrastructure that powers the buyer journey, from lead generation and data enrichment to AI-powered personalization, lead routing, pipeline management, and performance reporting. 
The GTM Engineer translates business requirements and growth strategies into scalable technical workflows that reduce manual work, improve data quality, accelerate sales execution, and drive repeatable revenue growth. 
Role Overview
We are looking for a highly technical and business-minded GTM Engineer to join FlyAkeed&rsquo;s Growth team in Riyadh. This role sits at the intersection of revenue strategy, data, automation, and systems architecture. You will be responsible for building and optimizing the technical engine behind FlyAkeed&rsquo;s go-to-market operations, including CRM workflows, enrichment systems, outbound campaigns, AI-driven personalization, lead scoring, reporting dashboards, and integrations across the sales and marketing tech stack. 
 
The ideal candidate is comfortable working with both commercial teams and technical tools. You should be able to understand sales and marketing needs, convert them into automated workflows, and continuously improve the systems that help FlyAkeed scale its revenue engine across Saudi Arabia and the GCC. 
Key Responsibilities:
GTM Systems &amp; Architecture<ul><li>
Design, build, integrate, and maintain FlyAkeed&rsquo;s GTM tech stack across CRM, marketing automation, outbound, enrichment, analytics, and sales productivity tools.</li><li>
Ensure seamless data flow between systems such as HubSpot, Clay, n8n, Make, Smartlead, Lemlist, analytics tools, and other revenue platforms.</li><li>
Translate business requirements from Sales, Marketing, Growth, and RevOps teams into scalable technical workflows.</li><li>
dentify system gaps, workflow inefficiencies, and manual processes that can be automated or improved. 
 
Workflow Automation</li></ul><ul><li>
Build and deploy automated workflows for lead capture, enrichment, scoring, qualification, routing, follow-up, and lifecycle management.</li><li>
Create automation logic to assign high-priority leads or accounts to the right sales team members in a timely and accurate manner.</li><li>
Automate repetitive sales and marketing operations to improve team productivity and execution speed.</li><li>
Maintain documentation of GTM workflows, system logic, and automation rules.
 
 
Lead Generation &amp; Outbound Operations</li></ul><ul><li>
Build and manage prospecting systems using tools such as Clay, LinkedIn Sales Navigator, enrichment platforms, and outbound sequencing tools.</li><li>
Support outbound campaign execution, including list building, segmentation, personalization workflows, sequencing, and performance tracking.</li><li>
Improve account prioritization, lead qualification, and campaign targeting based on data and market signals.</li><li>
Collaborate with Sales and Marketing teams to improve lead quality and conversion rates 
 
AI Implementation &amp; Personalization</li></ul><ul><li>
Design and implement AI-powered workflows to support account research, lead qualification, personalized outreach, sales enablement, and next-best-action recommendations.</li><li>
Configure AI and LLM-based tools to generate relevant company insights, prospect summaries, personalized messaging, and campaign support.</li><li>
Continuously test AI use cases that improve GTM efficiency, personalization, and sales productivity.</li></ul>
Data Management &amp; CRM Operations<ul><li>
Own CRM data hygiene, segmentation, deduplication, enrichment, validation rules, and lifecycle stage management.</li><li>
Ensure clean and reliable data across GTM systems to support accurate reporting and decision-making.</li><li>
Manage lead source tracking, UTM tracking, form capture, field mapping, and campaign attribution.</li><li>
Support data governance and improve consistency across sales and marketing operations.
 
 
Analytics, Reporting &amp; Experimentation</li></ul><ul><li>
Build dashboards and reports to track pipeline health, campaign performance, funnel conversion, lead quality, sales productivity, and revenue impact.</li><li>
Monitor GTM performance and identify opportunities to improve conversion rates across the buyer journey.</li><li>
Run experiments across outbound, lead scoring, personalization, routing, and campaign workflows.</li><li>
Provide insights and recommendations to support better GTM decision-making.</li></ul> 

Benefits 
<ul><li>
Minimum 3 years of hands-on experience in GTM Engineering, Revenue Operations, Marketing Operations, Sales Operations, Growth Operations, or a similar technical growth role.</li><li>
Strong experience with CRM platforms, preferably HubSpot.</li><li>
Hands-on experience with automation tools such as Clay, n8n, Make, Zapier, or similar platforms.</li><li>
Familiarity with outbound, enrichment, and prospecting tools such as Clay, Smartlead, Lemlist, or similar.</li><li>
Strong understanding of B2B sales funnels, lead generation, pipeline management, sales processes, and campaign operations.</li><li>
Ability to build workflows, manage data structures, clean datasets, and design segmentation logic.</li><li>
Strong data literacy with the ability to analyze funnel performance, campaign results, and pipeline metrics.</li><li>
Comfortable using AI tools and LLMs for research, personalization, automation, and productivity.</li><li>
Strong problem-solving skills with the ability to convert business needs into scalable technical systems.</li><li>
Good communication skills and ability to work cross-functionally with Sales, Marketing,Growth, RevOps, and Product teams.</li><li>
Based in or willing to relocate to Riyadh, Saudi Arabia.</li></ul></div>

GTM Specialist

exceptional interior decoration

Position: AI &amp; Digital Transformation ManagerPosition OverviewThe AI &amp; Digital Transformation Manager will be responsible for identifying, implementing, managing, and training staff on Artificial Intelligence tools and digital solutions that improve efficiency, quality, productivity, and operational excellence across all departments of the company.The role focuses on integrating AI technologies into daily business operations, project management processes, proposal development, design coordination, reporting systems, procurement workflows, and client communications.The successful candidate will act as the company&rsquo;s internal AI expert and innovation leader, ensuring that technology delivers measurable business value.Key ResponsibilitiesAI Strategy &amp; Implementation:<ul><li>Identify and evaluate emerging AI platforms and technologies.</li><li>Develop and implement the company&rsquo;s AI adoption roadmap.</li><li>Continuously research new AI tools relevant to construction, project management, hospitality, design, and consultancy sectors.</li><li>Ensure all implemented solutions align with company objectives and workflows.</li></ul>Business Process AutomationImplement AI-driven solutions for:<ul><li>Email drafting and communication.</li><li>Meeting minutes generation.</li><li>Action tracker creation.</li><li>Automated reminders and follow-ups.</li><li>Proposal generation.</li><li>Scope of work preparation.</li><li>Project reporting.</li><li>Risk register management.</li><li>Procurement tracking.</li><li>Submittal logs.</li><li>RFI management.</li><li>Document control.</li><li>Knowledge management systems.</li></ul>Construction &amp; Project Management ApplicationsImplement AI solutions that support:<ul><li>Bill of Quantities (BOQ) generation.</li><li>Quantity take-offs.</li><li>Cost estimation.</li><li>Value engineering exercises.</li><li>Procurement planning.</li><li>Construction reporting.</li><li>Project scheduling assistance.</li><li>Risk analysis.</li><li>Contract review.</li><li>Tender evaluations.</li></ul>Design &amp; Creative ApplicationsImplement AI solutions for:<ul><li>Mood board creation.</li><li>Concept development.</li><li>Material selection support.</li><li>Design presentations.</li><li>Rendering assistance.</li><li>Image generation.</li><li>Visual storytelling.</li><li>Marketing content creation.</li></ul>Staff Training &amp; Change Management:<ul><li>Train all employees on approved AI tools.</li><li>Develop internal AI training manuals and SOPs.</li><li>Conduct workshops and awareness sessions.</li><li>Measure adoption rates and productivity improvements.</li><li>Provide ongoing technical support.</li></ul>Knowledge ManagementDevelop and maintain:<ul><li>Company AI knowledge base.</li><li>Prompt libraries.</li><li>Proposal templates.</li><li>Report templates.</li><li>Project execution templates.</li><li>Lessons learned databases.</li><li>AI-assisted SOP repositories.</li></ul>Performance Monitoring:<ul><li>Track ROI of AI initiatives.</li><li>Measure productivity gains.</li><li>Identify areas for further automation.</li><li>Produce monthly AI performance reports.</li></ul>Key AI Platforms (Expected Experience)Productivity:<ul><li>ChatGPT</li><li>Microsoft Copilot</li><li>Gemini</li><li>Claude</li><li>Notion AI</li></ul>Automation:<ul><li>Zapier</li><li>Make.com</li><li>n8n</li><li>Power Automate</li><li>Design:</li><li>Midjourney</li><li>DALL-E</li><li>Adobe Firefly</li><li>Canva AI</li></ul>Construction &amp; Project Management:<ul><li>Autodesk Construction Cloud</li><li>Procore</li><li>Bluebeam</li><li>PlanSwift</li><li>Togal.AI</li><li>OpenSpace</li></ul>Data &amp; Reporting:<ul><li>Power BI</li><li>Looker Studio</li><li>Airtable</li><li>Excel AI</li><li>KPIs</li></ul>The employee will be evaluated based on:<ul><li>Number of AI solutions successfully implemented.</li><li>Reduction in administrative workload.</li><li>Improvement in proposal preparation time.</li><li>Reduction in report preparation time.</li><li>Staff adoption rate.</li><li>Productivity improvements achieved.</li><li>Cost savings generated.</li><li>Quality improvements across deliverables.</li></ul>Ideal Candidate Profile:<ul><li>Bachelor&rsquo;s Degree in Engineering, Information Technology, Computer Science, Business Technology, or related field.</li><li>Minimum 5 years of experience in AI implementation, digital transformation, automation, or business process optimization.</li><li>Experience within construction, consultancy, hospitality, architecture, or project management sectors is highly preferred.</li><li>Strong understanding of Large Language Models (LLMs), workflow automation, prompt engineering, and AI integration.</li><li>Excellent training and communication skills.</li></ul>What This Role Will Build for Exceptional?Within the first 12 months, this person should aim to create:<ul><li>An AI-powered proposal generation system.</li><li>AI-generated weekly project reports.</li><li>AI-assisted BOQ and cost-estimation workflows.</li><li>AI meeting assistant for minutes and action tracking.</li><li>AI-powered procurement tracking dashboard.</li><li>AI knowledge base containing all company SOPs, templates, and best practices.</li><li>AI training program for all staff.</li></ul>www.exceptional-pm.comWork Location: In person

AI & Digital Transformation Manager

Ninja 🥷🏽 نينجا

<div>
 
 About the Role:
 
 
 
 We are looking for an AI Product Owner to lead our new AI agent products. You will sit between business and tech teams. You will turn big ideas into working, autonomous AI tools.
 
 
 You must have a strong technical background. You should know how to build with Python. You also need to understand how AI agents think, use tools, and solve multi-step problems.
 
 
 
 Responsibilties:
 
 
 
 <ul>
 <li>
 Setting the Product Vision: Create the roadmap for our AI agents and automated workflows
 </li>
 <li>
 Talking Tech with Engineers: Use your Python and AI knowledge to help developers make choices about cost, speed, and accuracy
 </li>
 <li>
 Writing Technical Stories: Turn business needs into clear tasks, user stories, and code requirements for agile sprints
 </li>
 <li>
 Keeping Agents Safe: Build tests and guardrails to make sure our AI systems are accurate, safe, and helpful
 </li>
 <li>
 Tracking Success: Look at user feedback and data to find ways to make our AI agents smarter and faster
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 to be able to work onsite in our Riyadh office
 </li>
 <li>
 Python Skills: Real experience writing or reading Python code
 </li>
 <li>
 Agentic Tech Knowledge: Experience using AI tools like LangGraph, CrewAI, AutoGen, or RAG systems
 </li>
 <li>
 Product Experience: Experience at managing tech products or working as a lead software engineer
 </li>
 <li>
 Clear Communication: The ability to explain complex AI models to business teams in simple terms
 </li>
 <li>
 Problem-Solving Mindset: Comfort with the experimental and fast-changing world of Generative AI
 </li>
 </ul>
</div>

AI Product Owner (Agentic Systems & Python)

VaporVM

<div><div><div>Date Posted:</div>
11 June, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VaporVM</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h1 class="jobSectionHeader">Senior HPC / Infrastructure Engineer</h1>

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time

Experience: 10+ Years (Hands-On)
<h2 class="jobSectionHeader">
Position Overview</h2>

We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.

The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.
<h2 class="jobSectionHeader">
Required Certifications</h2>
<ul><li>RHCE &ndash; Red Hat Certified Engineer (Active)</li>
<li>CKA &ndash; Certified Kubernetes Administrator (Active)</li>
</ul><h2 class="jobSectionHeader">Core Technical Expertise</h2>
<h3 class="jobSectionHeader">HPC &amp; NVIDIA AI Ecosystem</h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader">Compute &amp; Container Platforms</h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader">Operating Systems</h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader">Automation &amp; DevOps</h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader">Candidate Profile</h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div>

Senior Infrastructure / HPC

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