architect

DGC- Saudi Branch

We are seeking an experienced FLS Architect to join our team. The ideal candidate will be responsible for Fire &amp; Life Safety design coordination, code compliance, and ensuring all architectural designs meet local and international fire safety standards.Key Responsibilities:<ul><li>Develop and review Fire &amp; Life Safety (FLS) architectural designs and drawings.</li><li>Ensure compliance with Qatar Civil Defence (QCD), QCS, NFPA, and international codes and standards.</li><li>Coordinate with architects, MEP engineers, consultants, and project teams.</li><li>Review evacuation plans, compartmentation layouts, and fire escape routes.</li><li>Participate in design reviews, risk assessments, and site inspections.</li><li>Identify and resolve FLS-related design issues during project execution.</li><li>Prepare technical reports and support authority submissions and approvals.</li></ul>Requirements:<ul><li>Bachelor's Degree in Architecture or a related field.</li><li>Minimum 10 years of experience in Fire &amp; Life Safety design and architectural projects.</li><li>Strong knowledge of QCD, QCS, NFPA, and international fire safety regulations.</li><li>Proficiency in AutoCAD, Revit, and other relevant design software.</li><li>Excellent communication and coordination skills.</li></ul>Pay: QAR10,000.00 - QAR12,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>work: 10 years (Required)</li></ul>License/Certification:<ul><li>UPDA - FLS (Required)</li></ul>Work Location: In person

FLS Architect

Starlink Qatar

<div>
 
 Job Purpose
 
 
 
 
 
 The Cloud Architect is responsible for designing, implementing, and managing secure, scalable, and highly available cloud and hybrid-cloud architectures across Azure, Google Cloud (GCP), and on-premises HCI platforms (VMware &amp; Nutanix NCM). The role ensures robust cloud governance, automation, security compliance, and alignment with business and technology objectives.
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 <ol>
 <li>
 Cloud &amp; Hybrid Architecture Delivery
 </li>
 </ol>
 <ul>
 <li>
 Design and implement multi-cloud solutions across Azure and GCP aligned with performance, cost, and scalability requirements.
 </li>
 <li>
 Architect and maintain hybrid-cloud environments integrating on-premises data centers with cloud platforms.
 </li>
 <li>
 Design and operate HCI platforms (VMware vSphere, vSAN, NSX-T, and Nutanix NCM/AHV).
 </li>
 <li>
 Lead cloud modernization, migration, and transformation initiatives.
 </li>
 <li>
 Implement and manage Infrastructure as Code (IaC) using Terraform, Bicep, ARM, and GCP Deployment Manager.
 </li>
 <li>
 Develop cloud landing zones, networking architectures, and identity/security integration.
 </li>
 <li>
 Support multi-cloud workload deployment, containerization, and VM-based compute models.
 </li>
 <li>
 Ensure resilient architectures with HA/DR, backup, and failover strategies.
 </li>
 <li>
 Manage daily cloud operations, monitoring, and incident response.
 </li>
 <li>
 Troubleshoot complex hybrid/multi-cloud issues across compute, network, and storage.
 </li>
 <li>
 Review architectural documents, diagrams, and solution designs.
 </li>
 <li>
 Deliver technical design documents, governance frameworks, and presentations.
 </li>
 <li>
 Provide guidance for migrations, including AVS (Azure VMware Solution) and GCVE (Google Cloud VMware Engine).
 </li>
 </ul>
 <ol>
 <li>
 Communication / Documentation
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 <ol>
 <li>
 Problem Solving &amp; Optimization
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 
 Knowledge, Experience &amp; Requirements
 
 <ul>
 <li>
 5 years' experience in Azure Cloud management
 </li>
 <li>
 3 years' experience in Google Cloud management
 </li>
 <li>
 3 years' experience in Cloud Virtualization management and High Availability management
 </li>
 </ul>
 
 Job Specific Technical Skills
 
 <ul>
 <li>
 Deep knowledge of networking: VNET/VPC design, routing, subnetting, VPN, ExpressRoute, Interconnect, load balancers, firewalls.
 </li>
 <li>
 Multi-cloud and hybrid-cloud architecture expertise.
 </li>
 <li>
 In-depth experience with HCI platforms: VMware &amp; Nutanix NCM.
 </li>
 <li>
 Strong proficiency in automation &amp; IaC (Terraform, ARM, Bicep, Deployment Manager).
 </li>
 <li>
 Expertise with cloud security, identity, governance, Zero Trust, and compliance frameworks.
 </li>
 <li>
 Hands-on experience in monitoring tools, observability, and cloud operations (Azure Monitor, GCP Operations Suite, vRealize, Nutanix Prism).
 </li>
 <li>
 Strong documentation, design, and communication skills.
 </li>
 </ul>
</div>

Cloud Architect

Confidential

<div>
 
 
 Azure Cloud Architect + DevOps Engineer
 
 
 
 
 
 
 
 About the role
 
 
 
 Our entire stack runs on Azure Container Apps, App Services, Function Apps, Azure AI Search, Cosmos DB for PostgreSQL, Azure Database for PostgreSQL, Storage, Service Bus, Front Door plus an edge CDN provider (e.g. Cloudflare) for our public domains. We need one person who lives at the intersection of cloud architecture (designing the next major change) and operational DevOps (running the pipelines, the network, the cost, the security every day). You are not a platform-team-of-five behind a ticket queue; you are a builder / operator who owns the cloud end-to-end and partners with engineering to ship faster and cheaper.
 
 
 
 
 
 
 What you'll do
 
 
 
 
 Architecture
 
 
 
 &bull; Own the Azure architecture diagram across the platform and keep it current.
 
 
 &bull; Design changes to topology as the product grows (new container apps, replicas / autoscale rules, search-index sharding, queue strategies, multi-region considerations).
 
 
 &bull; Approve major infrastructure changes from engineering schema migrations on shared DBs, new public endpoints, new secrets in Key Vault, cross-service dependencies.
 
 
 &bull; Define and enforce naming conventions, resource tagging (cost centre, environment, owner), and resource-group structure across subscriptions.
 
 
 
 
 
 
 Networking &amp; edge
 
 
 
 &bull; Manage DNS (public domains and internal Azure DNS zones).
 
 
 &bull; Own Azure Front Door profiles origins, routes, rules, custom domains, SSL / TLS.
 
 
 &bull; Manage the edge CDN provider (e.g. Cloudflare) for public surfaces DNS, page rules, caching, purge workflows, security rules.
 
 
 &bull; Azure Application Gateway where still in play.
 
 
 &bull; WAF policies rule tuning, false-positive triage, blocking abusive traffic without blocking real users.
 
 
 &bull; Plan and execute domain migrations, certificate renewals, and edge cache strategy.
 
 
 
 
 
 
 DevOps &amp; CI/CD
 
 
 
 &bull; Own Azure DevOps Pipelines build / test / release templates, service connections, variable groups, environment approvals, artifact retention.
 
 
 &bull; Container build optimisation (image size, layer cache, build time), ACR retention policies.
 
 
 &bull; Deployment strategies blue / green via container-app revisions, canary rollouts, rollback playbooks.
 
 
 &bull; Pipeline templates that every engineering team can reuse without copy-paste.
 
 
 &bull; Secret management Key Vault references, rotating credentials, getting secrets out of .env files.
 
 
 
 
 
 
 FinOps / cost optimisation
 
 
 
 &bull; Continuously audit Azure spend across all subscriptions and bring monthly cost reports to leadership.
 
 
 &bull; Identify and execute cost-cutting moves right-sizing container apps, reserving compute where stable, switching tiers, killing zombie resources, reviewing egress / CDN charges.
 
 
 &bull; Quantify cost-versus-performance trade-offs for any proposed architecture change.
 
 
 
 
 
 
 Must-have experience
 
 
 
 &bull;
 
 6+ years
 
 in Azure as primary cloud (not someone who learned it last year).
 
 
 &bull; Azure services mastery: Container Apps, App Services, Function Apps, ACR, AKS basics, Azure Database for PostgreSQL, Cosmos DB for PostgreSQL (Citus), Storage Blob, Service Bus, Key Vault, Application Insights, Log Analytics.
 
 
 &bull; Azure Front Door (Standard + Premium) deep configuration experience.
 
 
 &bull; Edge CDN provider (e.g. Cloudflare) at the operational level zone management, page rules, firewall rules, cache purge, API automation.
 
 
 &bull; WAF rule design and tuning (Azure FD WAF or equivalent).
 
 
 &bull; DNS at scale public, private, split-horizon, NS delegation.
 
 
 &bull; Azure DevOps Pipelines YAML templates, multi-stage pipelines, service connections (and the permission politics of who can create them).
 
 
 &bull; Networking fundamentals VNet, NSG, peering, private endpoints, service endpoints.
 
 
 &bull; Strong scripting: Bash, PowerShell, Python; comfortable with the Azure CLI.
 
 
 &bull; IaC: Bicep or Terraform (at least one in production), and ARM as a fallback when reading legacy.
 
 
 &bull; FinOps practice has actually saved money in a prior role, not just read about it.
 
 
 
 
 
 
 Nice to have
 
 
 
 &bull;
 
 Azure certifications (AZ-104 / AZ-305 / AZ-400).
 
 
 
 &bull; Multi-subscription tenant management with Entra ID (formerly Azure AD).
 
 
 &bull; Kubernetes (AKS) even if not currently in use.
 
 
 &bull; SRE practices SLOs, error budgets, on-call rotations.
 
 
 &bull; Observability beyond App Insights Grafana, Datadog, ELK stacks.
 
 
 &bull; Database operations background (PostgreSQL HA, replication, point-in-time restore).
 
 
 &bull; Security background (CIS benchmarks, vulnerability scanning, container scanning).
 
</div>

QatarEnergy

<div>Primary Purpose of the Job:

The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.<h1 class="jobSectionHeader">
Principle Accountabilities:</h1><ul><li>
Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.</li><li>
Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.</li><li>
Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Define technical standards for model deployment, monitoring, and maintenance.</li><li>
Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.</li><li>
Partner with business stakeholders to understand requirements and translate them into technical solutions</li><li>
Establish governance frameworks for AI model lifecycle management</li><li>
Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions</li><li>
Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.</li><li>
Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.</li><li>
Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.</li></ul>
Required Experience and Skills:

AI/ML Expertise<ul><li>
8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.</li><li>
Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.</li><li>
5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.</li><li>
Proficient in large language models and generative AI implementations.</li><li>
Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.</li><li>
Experienced with real-time ML systems and edge computing.</li></ul> 
MLOps and DataOps<ul><li>
Strong knowledge of MLOps practices and tools.</li><li>
Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.</li><li>
Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).</li></ul> 
Cloud and Architecture<ul><li>
Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.</li><li>
Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.</li></ul> 
Governance and Compliance<ul><li>
In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.</li><li>
Knowledgeable in AI/ML regulatory compliance.</li></ul> 
Communication and Collaboration
Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
Educational Qualifications:
<ul><li>A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.</li><li>
Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable</li></ul></div>

SR. DIGITAL ARCHITECT

Red Hat

<div>
 
 Job Description
 
 
 
 The Red Hat Consulting team is looking for a Senior Cloud Architect to join us in Qatar.
 
 
 In this role, you will work as a subject-matter expert in Red Hat&rsquo;s infrastructure and cloud technology. You'll answer questions about best practices around automation, reliability, scalability, maintainability, high availability, and failover setups and lead the on-site delivery and implementation of Red Hat&rsquo;s technology that delivers freedom, flexibility, and outstanding performance. You will gain an understanding of our customers' infrastructures, and business issues and you will make recommendations appropriate to their environments. This is a great opportunity to build on your core base of knowledge and work in a fast-paced environment promoting Red Hat&rsquo;s solutions.
 
 
 We are looking for candidates with hands-on experience in infrastructure and architecture design topics.
 
 
 Red Hat will support relocation to the UAE for a successful candidate.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Winning the confidence of our prospective customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer&rsquo;s use cases and architecture design decisions to align with the Red Hat solution.
 </li>
 <li>
 Designing and scoping delivery projects as well as leading consulting teams through successful customer pilot and production deployments.
 </li>
 <li>
 The design, creation and delivery of content that enables the broader Red Hat organization to sell (pre-sales), service (consulting) and support (CEE) our solutions at scale.
 </li>
 <li>
 Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat&rsquo;s products.
 </li>
 <li>
 Contribute to the development of repeatable methodologies and tools designed to scale Red Hat&rsquo;s services capabilities, promote repeatable customer engagements, and lower delivery risk.
 </li>
 <li>
 Demonstrate thought leadership in the community by producing world-class white papers, webinars, etc. and speaking at industry leading conferences.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Background in Red Hat Enterprise Linux (Command line skills, Linux network configuration)
 </li>
 <li>
 Experience with Containers, container management utilities and debugging containers; also Quay
 </li>
 <li>
 Skills in Package management, both on the CLI and with Red Hat Satellite
 </li>
 <li>
 Hands on knowledge in Red Hat OpenShift Container Platform (RHOSO18 requires OCP as the base platform to be deployed upon, so OCP knowledge becomes a prerequisite for OSP)
 </li>
 <li>
 Architecture skills, specifically around datacenter infrastructure (networking, compute and storage)
 </li>
 <li>
 Compute skills: Lights-Out-Management LOM (IPMI, Redfish), UEFI/BIOS, server hardware
 </li>
 <li>
 Networking skills: Software Defined Networking SDN, Layer 2 (ARP, MAC), Layer 3 (TCP, UDP) and Layer 4 (IP), Open Virtual Switch OVS
 </li>
 <li>
 Storage skills Software Defined Storage SDS (Ceph), SAN, NAS
 </li>
 <li>
 Ansible experience (playbooks and troubleshooting)
 </li>
 <li>
 Authentication and Authorization (Red Hat IDM, Active Directory)
 </li>
 <li>
 Experience with network/datacenter design, elaboration of design and architecture documents and scoping/discovery sessions
 
 
 </li>
 </ul>
 
 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
 
 
</div>

Cloud Consulting Architect

Multiverse Computing

<div>Multiverse Computing<div>
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</div><div>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</div><div>
Why join us?
 
 
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</div><div>
This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</div><div>
Key requirements:</div><ul><li>
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>
Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>
Languages: Arabic and English</li></ul><div> 
Preferred Qualifications:</div><ul><li>
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>
Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>
Hands-on experience designing RAG pipelines and/or multi-agent systems..</li><li>
Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>
Location: Applicants must have legal authorization to work in the country where the position is based<div> 
Perks &amp; Benefits:</div><ul><li>
Equal pay guaranteed.</li><li>
Signing bonus.</li><li>
Relocation package (if applicable).</li><li>
Eligibility for educational budget according to internal policy.</li><li>
Hybrid opportunity.</li><li>
Flexible working hours.</li><li>
Language classes and discounted lunch options</li><li>
Working in a high paced environment, working on cutting edge technologies.</li><li>
Career plan. Opportunity to learn and teach.</li></ul><div>
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.</div></div>

Mid/Senior Solution Architect - Qatar

<div>
 
 Multiverse Computing
 
 
 
 Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.
 
 
 Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.
 
 
 
 Why join us?
 
 
 
 We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;
 
 
 This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.
 
 
 
 Key requirements:
 
 
 
 
 <ul>
 <li>
 Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)
 </li>
 <li>
 Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.
 </li>
 <li>
 Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.
 </li>
 <li>
 Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
 </li>
 <li>
 Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
 </li>
 <li>
 Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
 </li>
 <li>
 Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
 </li>
 <li>
 Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
 </li>
 <li>
 Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.
 </li>
 <li>
 Must be available to travel as needed for meetings, conferences, and project requirements.
 </li>
 <li>
 Languages: Arabic and English
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.
 </li>
 <li>
 Experience with AI model optimization, quantization, or deployment to edge devices.
 </li>
 <li>
 Hands-on experience designing RAG pipelines and/or multi-agent systems..
 </li>
 <li>
 Experience designing data architectures (batch &amp; streaming) and working with big data technologies.
 </li>
 <li>
 Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.
 
 
 
 </li>
 </ul>
 
 Location: Applicants must have legal authorization to work in the country where the position is based
 
 
 
 
 Perks &amp; Benefits:
 
 
 
 
 <ul>
 <li>
 Equal pay guaranteed.
 </li>
 <li>
 Signing bonus.
 </li>
 <li>
 Relocation package (if applicable).
 </li>
 <li>
 Eligibility for educational budget according to internal policy.
 </li>
 <li>
 Hybrid opportunity.
 </li>
 <li>
 Flexible working hours.
 </li>
 <li>
 Language classes and discounted lunch options
 </li>
 <li>
 Working in a high paced environment, working on cutting edge technologies.
 </li>
 <li>
 Career plan. Opportunity to learn and teach.
 
 
 
 </li>
 </ul>
 
 As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
 
 
 
 Come and join our multicultural team!
 
 
 5 locations
 
 
 +27 languages
</div>

Explore 20+ Architect in Doha this July. Find roles across top companies and apply now to boost your career.

20 architect jobs In Doha

FLS Architect

Cloud Architect

Cloud Architect

SR. DIGITAL ARCHITECT

Cloud Consulting Architect

Mid/Senior Solution Architect - Qatar

Mid/Senior Solution Architect - Qatar