cloud engineer

customer success specialist Jobs in Riyadh

customer success specialist

account manager, netapp

ai & advanced analytic specialist Jobs in Riyadh

ai & advanced analytic specialist

ai & digital transformation manager Jobs in Riyadh

ai & digital transformation manager

ai solutions architect

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

Sulava MEA

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

Deployment Engineer & Architect

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

DXC Technology

<div>Job Description:
Solutions Architect
Role Overview
The Solution Architect is a senior, customer-facing enterprise architect responsible for leading strategic solutioning and presales engagements for large, complex transformation opportunities.
Lead the design ,delivery and presales activities of end-to-end enterprise solutions spanning applications, integration, cloud, infrastructure, cybersecurity, data, AI, analytics, and digital platforms.
This role requires a consultative leader who can engage C-level stakeholders, understand business priorities, shape transformation strategies, and design end-to-end enterprise solutions aligned with customer outcomes.
The ideal candidate combines deep enterprise architecture expertise with strong commercial acumen, executive communication skills, and the ability to translate business challenges into compelling, technology-enabled solutions. The role supports business growth by identifying customer needs, developing differentiated solutions, leading strategic pursuits, and influencing decision-making throughout the sales lifecycle.
The Solution Architect acts as a trusted advisor to customers and collaborates across business, technology, delivery, and partner teams to design scalable, secure, and outcome-driven solutions.
Key Focus Areas
<ul><li>Lead strategic solutioning and presales efforts for complex transformation opportunities.
</li><li>Engage executive stakeholders to align technology strategy with business priorities.
</li><li>Design scalable, secure, and commercially compelling end-to-end solutions.
</li><li>Support growth by influencing customer decisions across the sales lifecycle.
</li></ul>Essential Job Functions / Responsibilities
<ul><li>Engage directly with CIOs, CTOs, CDOs, business executives, and senior stakeholders to understand strategic business objectives, transformation priorities, and operational challenges.
</li><li>Establish trusted advisor relationships with customer leadership teams and provide strategic guidance on digital transformation initiatives.
</li><li>Lead executive discussions, discovery workshops, architecture assessments, and business transformation engagements.
</li><li>Translate complex business and technology challenges into practical, scalable, and business-focused solutions.
</li><li>Present strategic solution proposals and transformation roadmaps to executive and board-level stakeholders.
</li><li>Lead the design and ownership of end-to-end enterprise solutions across applications, cloud, infrastructure, cybersecurity, data, AI, analytics, digital platforms, automation, IoT, DevSecOps, and managed services.
</li><li>Articulate business value propositions including ROI, TCO optimization, operational efficiency, business agility, and innovation outcomes.
</li><li>Support strategic bids, RFP/RFI responses, and competitive positioning activities.
</li><li>Influence customer decision-making through executive storytelling, consultative engagement, and value-based solutioning.
</li><li>Identify opportunities for cross-selling, upselling, and long-term strategic partnerships.
</li><li>Lead solution governance activities to ensure alignment between customer expectations, architecture vision, contractual commitments, and delivery capabilities.
</li><li>Develop Statements of Work (SOW), transition strategies, transformation plans, and high-level implementation roadmaps.
</li><li>Identify solution risks, dependencies, assumptions, and mitigation strategies.
</li><li>Provide ongoing advisory support during transition and delivery phases to maintain alignment with the intended business outcomes and architectural principles.
</li><li>Ensure solutions adhere to organizational standards, security policies, compliance requirements, and financial objectives.
</li><li>Provides leadership and strategic guidance with pursuit teams during the solution development process to ensure alignment with overall Company sales and client business strategy. Develops high-level technical operating strategies and solutions, and benefits.
</li>Leads Solution Design Workshops and ensures alignment across the client&rsquo;s business objectives, the technical solution, the Statement of Work and the contract 
<li>
 
</li></ul>Qualifications &amp; Competencies
<ul><li>Bachelor's degree in computer science, information technology or related field preferred
</li><li>15+ years of business solutions, technical consulting, or sales solutions experience
</li><li>Experience working with the technology industry, specifically handling significantly sized accounts
</li><li>Experience working with solution/product portfolios
</li><li>Experience developing winning sales solutions and proposals
</li><li>Experience working with technology products, services, competencies, solutions and offerings
</li><li>Experience working with business environment, business industry and competitor products and services
</li></ul>Technical Expertise
<ul><li>Enterprise Architecture
</li><li>Cloud Transformation (AWS, Azure, GCP)
</li><li>Hybrid Cloud &amp; Infrastructure Services
</li><li>AI &amp; Data Platforms
</li><li>Digital Transformation
</li><li>Application Modernization
</li><li>DevSecOps &amp; Automation
</li><li>Cybersecurity Architecture
</li><li>IT Service Management &amp; IT Operations
</li><li>Smart Cities / Digital Government (preferred)
</li><li>Managed Services &amp; Outsourcing Models
</li></ul>Soft Skills &amp; Leadership Competencies
<ul><li>Exceptional executive communication and presentation skills.
</li><li>Strong consultative selling and stakeholder engagement capabilities.
</li><li>Ability to influence and negotiate effectively with senior business and technology leaders.
</li><li>Strong business acumen with the ability to align technology solutions to business outcomes.
</li><li>Strategic thinking and problem-solving mindset.
</li><li>Excellent storytelling and value articulation capabilities.
</li><li>Strong interpersonal and relationship-building skills.
</li><li>Ability to lead cross-functional and multicultural teams in complex environments.
</li><li>Ability to work under pressure and manage multiple strategic pursuits simultaneously.
</li><li>High level of professionalism, executive presence, and customer focus.
</li><li>Strong analytical thinking and decision-making capabilities.
</li><li>Self-motivated, proactive, and outcome-driven personality.
</li><li>Moderate Legal acumen (contracts, negotiations, and legal) and Financial acumen (TCO analysis)
</li></ul>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.</div>

Enterprise Solutions Architect - Presales Expert

arabic

<div>Key Responsibilities<ul><li>
Lead and manage a team of AI solution engineers, providing technical guidance, mentorship, and support.</li><li>
Collaborate closely with product management, presales, and sales teams to understand customer requirements and translate them into technical solutions.</li><li>
Design and architect AI-based solutions, ensuring scalability, performance, and maintainability.</li><li>
Oversee the development and deployment of AI language technologies, including NLP, machine learning models, and related applications.</li><li>
Coordinate cross-functional collaboration to ensure alignment on project goals and timelines.</li><li>
Stay current with the latest advancements in AI and language technologies, incorporating best practices into the development process.</li><li>
Manage technical documentation and ensure knowledge sharing within the team and with stakeholders.</li><li>
Participate in client meetings and presentations to demonstrate technical solutions and capabilities.</li></ul> 
Requirements 
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Engineering, or a related field; Master's degree preferred.</li><li>
Minimum 8 years of experience in AI development or engineering roles, with at least 3 years in a leadership or managerial capacity.</li><li>
Strong expertise in AI technologies, including NLP, machine learning, deep learning frameworks, and language processing tools.</li><li>
Experience with AI deployment and integration in production environments.</li><li>
Proven track record managing and mentoring engineering teams.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.</li><li>
Knowledge of cloud platforms and services (AWS, Azure, Google Cloud) is a plus.</li><li>
Fluent in English and Arabic, both written and spoken.</li></ul></div>

AI Solution Manager

VaporVM

<div><div>Date Posted: 11 June, 2026
</div><div>Industry: IT Services and IT Consulting
</div><div>Location: 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

Advansys ME

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
We are looking for Software Presales profile, particularly with experience in RPA, low-code platforms, data solutions, chatbots, and software applications.
 
Key roles and responsibilities: 
<ul>
<li>Collaborate with the sales team to understand client requirements</li>
<li>Analyze customer requirements, design and architect comprehensive IT solutions, including all software aspects that align with clients’ business goals</li>
<li>Work closely with the development team to ensure the best solution to the customers and a smooth handover in the execution phase</li>
<li>Maintain up-to-date knowledge of the new technologies and of any changes in the current technologies and its roadmap</li>
<li>Conducting engaging and informative product demonstrations to showcase the value and benefits of the product.</li>
<li>Understand, analyze, and respond to RFPs, RFQs, and RFIs with comprehensive and competitive proposals</li>
<li>Addressing technical inquiries while analyzing the RFPs</li>
<li>Developing detailed proposals that include costs, deliverables, timelines, and other relevant information.</li>
</ul>
Requirements
 
Technical/Professional Qualifications: 
<ul>
<li>A bachelor’s degree in computer science, information technology or a related field.</li>
<li>6+ years in System architecture, technical sales, or Pre-sales role ( Software Presales profile, particularly with experience in RPA, low-code platforms, data solutions, chatbots, and software applications )</li>
<li>Very good knowledge and practice in different technologies such as AI, business automation and RPA</li>
<li>Good knowledge of low-code/no-code tools</li>
<li>Basic knowledge of cloud and cybersecurity is a plus</li>
<li>Knowledge of CRM, contact center, and enterprise applications is a plus</li>
<li>Proven Technical and IT Services pre-sales experience.</li>
<li>Knowledge of the software development cycle</li>
<li>Excellent communication, presentation, and interpersonal skills.</li>
<li>Relevant certifications are a plus</li>
</ul>
Job Location: 
Candidate Must base in Saudi Arabia

Senior Software Solutions PreSales Consultant

Explore 270+ Ai solutions architect in Riyadh this July. Find roles across top companies and apply now to boost your career.