civil engineer

structural engineer

planning engineer

architect

interior designer

ai architect

Anotech

<div>
 
 🤖
 
 We&rsquo;re Hiring: AI Architect
 
 
 
 📍 Doha, Qatar
 
 
 We&rsquo;re looking for an innovative
 
 AI Architect
 
 to define and govern the cognitive AI foundation of a large-scale digital platform. This role focuses on turning advanced AI capabilities into secure, scalable, and reusable platform services across multiple domains and vendors.
 
 
 
 
 
 🔍
 
 What You&rsquo;ll Do
 
 
 
 You will design the end-to-end AI architecture enabling production-grade AI services across the platform:
 
 <ul>
 <li>
 Define cognitive AI reference architecture (inference, RAG, model serving, agents, fine-tuning pipelines)
 </li>
 <li>
 Establish model lifecycle governance (evaluation gates, versioning, approvals, rollback strategies)
 </li>
 <li>
 Design multi-tenant AI patterns (isolated environments, quotas, secure endpoints, GPU allocation)
 </li>
 <li>
 Specify inference standards (OpenAI-compatible APIs, routing, caching, SLAs, safety filters)
 </li>
 <li>
 Architect RAG systems (ingestion, embeddings, vector databases, retrieval, grounded responses)
 </li>
 <li>
 Define fine-tuning pipelines (LoRA/PEFT, orchestration, artifact management, promotion workflows)
 </li>
 <li>
 Implement AI safety and compliance controls (guardrails, PII redaction, prompt governance, audit trails)
 </li>
 <li>
 Define observability across AI systems (training, inference, pipelines, anomaly detection)
 </li>
 <li>
 Provide architecture assurance for vendor solutions and production readiness
 </li>
 <li>
 Enable developer adoption through SDKs, reference implementations, and golden paths
 </li>
 </ul>
 
 
 
 
 🧠
 
 What You Bring
 
 
 <ul>
 <li>
 7+ years of experience in AI/ML engineering or architecture
 </li>
 <li>
 Proven experience building production LLM, RAG, or agent-based systems
 </li>
 <li>
 Strong understanding of model serving, MLOps, and scalable AI infrastructure
 </li>
 <li>
 Expertise in AI governance, safety, and evaluation frameworks
 </li>
 <li>
 Experience working with cloud-based AI platforms and GPU-based workloads
 </li>
 <li>
 Ability to bridge AI research concepts with enterprise-scale engineering
 </li>
 </ul>
 
 
 
 
 🛠
 
 Tech Stack Highlights
 
 
 
 vLLM | KServe | Triton | NVIDIA NIM
 
 
 MLflow | Ray | Airflow | Prefect
 
 
 LangChain | LlamaIndex | Vector DBs (Weaviate, PGVector, Elasticsearch)
 
 <ul>
 <li>
 OpenTelemetry | Datadog/Dynatrace | Policy-as-Code Tools
 </li>
 </ul>
 
 
</div>

AI Architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Quantiphi

<div>
 
 
 Role:
 
 Client Solutions Partner
 
 
 
 Experience:
 
 8+ years
 
 
 
 Work location:
 
 Doha, Qatar
 
 
 
 
 
 We're looking for a brilliant technologist, an excellent communicator, and a strategic partner&mdash;to be the technical heart of our AI Go-To-Market team. You will be the spark that ignites our customers' imagination, bridging the gap between the art of the possible and transformative, real-world solutions.
 
 
 
 
 
 
 What You'll Achieve:
 
 
 <ul>
 <li>
 Architect the Future State: Act as the trusted technical advisor to our most strategic clients, architecting end-to-end AI solutions and shaping their long-term technology roadmap.
 </li>
 <li>
 Inspire Action: Translate deep technical concepts into compelling business value, delivering jaw-dropping presentations and demos to audiences ranging from engineers to CXOs.
 </li>
 <li>
 Build and Unblock: Lead and build rapid, hands-on Proofs-of-Concept (especially on Google Cloud) that solve critical problems and dismantle technical blockers, paving the way for large-scale adoption.
 </li>
 <li>
 Drive the Win: Own the entire technical sales cycle&mdash;from discovery and qualification to overcoming objections and securing the "technical win" for high-value enterprise deals.
 </li>
 <li>
 Shape Our Strategy: Act as the voice of the customer and the market, channelling your insights to directly influence the evolution of our products, services, and company strategy. Build team strategy with including sales planning
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring:
 
 
 <ul>
 <li>
 
 Applied AI Mastery:
 
 Deep, demonstrable, hands-on expertise in building and deploying modern AI solutions, with a strong focus on Generative AI (RAG, Agents, LLMs) and Computer Vision.
 </li>
 <li>
 
 Data Strategy &amp; Enablement
 
 Expertise in defining data strategies that align with business goals&mdash;spanning data ingestion, modelling, governance, and consumption&mdash;enabling organizations to scale analytics and AI with confidence.
 </li>
 <li>
 
 Cloud &amp; Systems Fluency:
 
 Expertise of cloud architecture, with a proven track record of designing scalable, production-grade systems (strong Google Cloud experience is a significant advantage).
 </li>
 <li>
 
 Consultative Mindset:
 
 A natural ability to listen, challenge, and guide customers towards solutions they didn't know were possible.
 </li>
 <li>
 
 Effortless Communication:
 
 You are a storyteller who can command a room, build instant credibility, and articulate complex ideas with powerful simplicity.
 </li>
 <li>
 
 Proven GTM Experience:
 
 A significant track record of success in a senior, customer-facing technical role such as a Solutions Architect, Principal Sales Engineer, or Technical Evangelist.
 </li>
 <li>
 
 Be a Force Multiplier:
 
 Mentor and elevate our exceptional team of young AI talent, fostering a culture of curiosity and collaboration by being a leader who actively listens, learns, and guides.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills required:
 
 
 
 You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.
 
 <ul>
 <li>
 Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud
 </li>
 <li>
 Strong exposure of cloud technologies like GCP, AWS, Azure etc
 </li>
 <li>
 Excellent communication, articulation, abstraction, analytical and presentation skills
 </li>
 <li>
 Executive demeanor and experience working with senior client executives
 </li>
 <li>
 Ability to work with minimal supervision in a dynamic and time sensitive work environment
 </li>
 <li>
 Excellent aptitude in business analysis and awareness of quantitative analysis techniques
 </li>
 <li>
 Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries
 </li>
 </ul>
 
 
</div>

Client Solutions Partner

<div>
 
 The
 
 Integration &amp; API Architect
 
 defines and governs the integration architecture for enterprise platforms, ensuring consistent, secure, and reusable integration patterns across vendor-delivered capabilities and smart-city solutions. The role establishes API-first and event-driven standards, data contracts, and interoperability requirements that enable ministries, system integrators, and solution teams to onboard and integrate reliably with shared services (identity, observability, data platform, service catalog).
 
 
 The architect ensures integration designs meet performance, resilience, and compliance requirements, and provides architecture assurance through design reviews, reference implementations, and go-live readiness gates.
 
 
 
 
 
 
 Duties &amp; Responsibilities
 
 
 <ul>
 <li>
 Define integration reference architecture covering APIs, events, messaging, and interoperability patterns.
 </li>
 <li>
 Own API governance: OpenAPI/AsyncAPI standards, naming, versioning, backward compatibility, lifecycle, and deprecation.
 </li>
 <li>
 Define secure API access patterns (Entra/OIDC, token scopes, mTLS, API keys where needed), rate limits, and quotas.
 </li>
 <li>
 Design event-driven architecture patterns and standards (topics, schemas, ordering, retries, dead-letter queues, idempotency).
 </li>
 <li>
 Establish data contract practices (schema registry, validation, consumer-driven contracts, contract testing in CI).
 </li>
 <li>
 Define integration resiliency patterns (timeouts, retries, circuit breakers, bulkheads, caching) and observability requirements.
 </li>
 <li>
 Govern use of API gateways and integration runtimes, including productization of APIs in the service catalog.
 </li>
 <li>
 Drive integration onboarding for vendors and use cases: connectivity, private endpoints, service exposure, and monitoring.
 </li>
 <li>
 Provide architecture assurance and technical leadership across multiple vendors; review designs and validate implementation.
 </li>
 <li>
 Support operations: integration runbooks, SLA/SLO dashboards, incident RCA patterns, and continuous improvement backlog.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong expertise in API design and integration architecture (REST, events, streaming, async workflows).
 </li>
 <li>
 Ability to define practical standards and enforce governance across multiple delivery teams/vendors.
 </li>
 <li>
 Deep understanding of distributed systems reliability patterns and integration observability.
 </li>
 <li>
 Strong security mindset for APIs and data movement in regulated environments.
 </li>
 <li>
 Excellent documentation and communication skills (contracts, diagrams, standards, playbooks).
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 , or related field; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 8+ years in integration architecture or senior engineering roles for enterprise platforms.
 </li>
 <li>
 Experience with API gateways and event streaming/messaging in production at scale.
 </li>
 <li>
 Experience integrating identity platforms (Entra/OIDC), private networking, and secure service exposure models.
 </li>
 <li>
 Proven record delivering integration governance (catalogs, standards, versioning, testing strategies).
 </li>
 <li>
 Experience working with system integrators/vendors and defining acceptance criteria for integration deliverables.
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools / Soft Skills
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 API &amp; governance: OpenAPI/AsyncAPI, Postman, Swagger tooling, schema registries
 </li>
 <li>
 Gateways &amp; messaging: Azure API Management / Apigee / Kong; Kafka / Event Hubs; queues with DLQ
 </li>
 <li>
 Observability &amp; delivery: OpenTelemetry, Dynatrace/Datadog, GitHub/Azure DevOps, contract testing frameworks
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong facilitation for cross-team integration alignment and standards adoption
 </li>
 <li>
 Ability to simplify complex integration landscapes into clear patterns and decisions
 </li>
 <li>
 Negotiation skills to manage competing stakeholder/vendor requirements
 </li>
 <li>
 Proactive risk management and ownership of integration quality outcomes
 </li>
 <li>
 Collaborative, delivery-oriented mindset with strong attention to detail
 </li>
 <li>
 Excellent written and verbal communication, able to convey complex governance concepts to non-technical stakeholders
 </li>
 <li>
 Acts as a trusted advisor, fostering cross-functional collaboration and upholding high ethical and professional standards
 </li>
 <li>
 Builds productive relationships across all organizational levels, promoting transparency, accountability, and responsible data/AI use
 </li>
 </ul>
</div>

Integration & API Architect

malomatia

<div>
 
 Job Description
 
 
 
 We are looking for an experienced
 
 Azure Cloud Infrastructure Architect
 
 to lead the design, implementation, and management of cloud solutions built exclusively on Microsoft Azure. The ideal candidate will have a strong technical background in Azure services and infrastructure, with the ability to align cloud strategies with business objectives. In this role, you will collaborate with stakeholders to deliver secure, scalable, and cost-efficient cloud environments while adhering to industry best practices and standards.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities:
 
 
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;1.&ensp;&ensp;&ensp;&ensp;Cloud Infrastructure Design
 
 
 
 <ul>
 <li>
 Architect and implement enterprise-grade Azure cloud infrastructure solutions to support business applications and workloads.
 </li>
 <li>
 Develop high-level and detailed Azure architecture blueprints for hybrid and cloud-native environments.
 </li>
 <li>
 Identify and recommend Azure tools, services, and methodologies to optimize operations.
 
 
 </li>
 </ul>
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;2.&ensp;&ensp;&ensp;&ensp;Cloud Deployment And Operations
 
 
 
 <ul>
 <li>
 Lead cloud migration efforts, transitioning on-premises systems and applications to Azure.
 </li>
 <li>
 Design and manage Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) solutions on Azure.
 </li>
 <li>
 Automate infrastructure provisioning using Azure DevOps, Terraform, or ARM templates.
 
 
 </li>
 </ul>
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;3.&ensp;&ensp;&ensp;&ensp;Security And Compliance
 
 
 
 <ul>
 <li>
 Implement Azure security best practices, including network security, data encryption, and access management.
 </li>
 <li>
 Monitor and ensure compliance with organizational and regulatory standards, such as ISO 27001, SOC 2, or GDPR.
 </li>
 <li>
 Manage identity and access control using Azure AD and Role-Based Access Control (RBAC).
 
 
 </li>
 </ul>
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;4.&ensp;&ensp;&ensp;&ensp;Monitoring And Optimization
 
 
 
 <ul>
 <li>
 Set up Azure monitoring and logging systems using Azure Monitor, Application Insights, and Log Analytics.
 </li>
 <li>
 Continuously evaluate and optimize performance, reliability, and cost of Azure resources.
 </li>
 <li>
 Establish disaster recovery and backup strategies using Azure Backup and Azure Site Recovery.
 
 
 </li>
 </ul>
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;5.&ensp;&ensp;&ensp;&ensp;Collaboration And Leadership
 
 
 
 <ul>
 <li>
 Act as a subject matter expert (SME) for Azure infrastructure and provide technical guidance to teams and stakeholders.
 </li>
 <li>
 Work closely with DevOps, engineering, and IT teams to ensure seamless integration of cloud solutions.
 </li>
 <li>
 Deliver technical presentations and documentation for cloud strategies and solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, or related field.
 </li>
 <li>
 5+ years of experience in cloud infrastructure, with at least 3 years focused on Azure solutions.
 </li>
 <li>
 Strong expertise in Azure services such as Virtual Machines, Azure Storage, Azure Networking, and Azure Active Directory.
 </li>
 <li>
 Hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform, ARM templates, or Bicep.
 </li>
 <li>
 Proficiency in scripting languages such as PowerShell or Python.
 </li>
 <li>
 Strong knowledge of Azure networking (VNets, ExpressRoute, NSGs, Load Balancers, etc.).
 </li>
 <li>
 Experience with security and compliance standards, including Azure Policy and Azure Sentinel.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Microsoft Certified: Azure Solutions Architect Expert or equivalent certifications.
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Familiarity with Azure Kubernetes Service (AKS) and container orchestration.
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Experience with multi-cloud or hybrid-cloud environments.
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 &ensp;&ensp;&ensp;&ensp;&ensp;Strong problem-solving skills and ability to work in a collaborative team environment.
 
 
 </li>
 </ul>
 
 About Malomatia
 
 
 
 
 ABOUT US
 
 
 
 malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
 
 
 
 Our mission
 
 
 
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 
 
 
 Our vision
 
 
 
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 
 
 
 Driving change that makes a real impact
 
 
 
 Since 2008, malomatia has been driving Qatar&rsquo;s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation&rsquo;s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar&rsquo;s sustainable future.
 
 
 
 About The Team
 
 
 
 Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.
 
 
 Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.
 
 
 Join us in shaping the future of technology in Qatar
</div>

Azure Cloud Infrastructure Architect

Avey

<div>
 
 Location: Doha, Qatar / Remote
 
 
 Position Type: Full-Time
 
 
 
 
 
 
 About Avey
 
 
 
 
 
 
 Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe.&nbsp;
 
 
 
 
 
 Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.
 
 
 
 
 
 We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey&rsquo;s mission to create a solution that will have a real and positive effect on the world.
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 We are looking for a skilled and versatile Data &amp; Analytics Engineer to build and manage the data infrastructure that powers our life-changing healthcare AI solutions. This hybrid role involves traditional data engineering tasks like data processing and cleaning, as well as designing and developing analytics dashboards to support business intelligence. This role is critical for ensuring our teams have reliable access to high-quality data and the insights derived from it.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 1. Data Pipeline Development &amp; Maintenance:
 
 
 
 
 
 
 *	Design, build, and operationalize complex ETL/ELT pipelines to process, clean, and normalize large volumes of structured and unstructured healthcare data (e.g., EHR/EMR, medical imaging, clinical notes, genomics).
 
 
 *	Develop and maintain data workflows and orchestration using tools like Apache Airflow, Prefect, or similar.
 
 
 *	Ensure the reliability, efficiency, and scalability of all data pipelines.
 
 
 *	Cost optimization (storage, compute, retention).
 
 
 
 
 
 
 2. Analytics &amp; Business Intelligence:
 
 
 
 
 
 
 *	Design, develop, and maintain interactive and user-friendly analytics dashboards and reports for various business units using BI tools (e.g., Tableau, Power BI, Looker).
 
 
 *	Work with stakeholders to gather requirements and translate business questions into technical specifications for BI solutions and ad-hoc analyses.
 
 
 *	Present data-driven insights to both technical and non-technical audiences to support strategic decision-making.
 
 
 
 
 
 
 3. Data Architecture &amp; Modeling:
 
 
 
 
 
 
 *	Architect and manage data storage solutions, including data lakes, data warehouses, and feature stores, on cloud platforms (AWS, Azure, or GCP).
 
 
 *	Develop data models and database schemas that are optimized for analytics, machine learning, and application performance.
 
 
 *	Implement best practices for data management and governance.
 
 
 
 
 
 
 4. Data Quality &amp; Compliance:
 
 
 
 
 
 
 *	Implement rigorous processes for data quality assurance, data validation, and anomaly detection.
 
 
 *	Work closely with the security and compliance teams to ensure all data handling practices are compliant with healthcare regulations, including HIPAA and GDPR.
 
 
 *	Develop and enforce data anonymization and de-identification procedures to protect patient privacy.
 
 
 
 
 
 
 5. Collaboration &amp; Support:
 
 
 
 
 
 
 *	Collaborate with data scientists to understand their data requirements and provide the necessary infrastructure and tools for model training and validation.
 
 
 *	Work with software engineers to integrate data services and APIs into our end-user products.
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 *	STEM degree or equivalent practical experience.
 
 
 *	Working experience in multi-cloud architecture &amp; disaster recovery.
 
 
 *	Experience in API-based ingestion (rate limits, pagination, retries)
 
 
 *	LLM / AI data pipelines (dataset generation, batch inference, validation, OCR, multimodal data processing (text + images)
 
 
 *	Parallel processing &amp; pipeline performance optimization
 
 
 *	Large-scale data ingestion (web scraping, multi-source pipelines with fallback)
 
 
 *	Dimensional modeling (Kimball) &amp; Slowly Changing Dimensions (SCD)
 
 
 *	Delta Lake / Lakehouse architecture
 
 
 
 
 
 
 Nice to Have:
 
 
 
 
 
 
 *	Healthcare Experience (HIS/EMR systems, Cerner is a huge plus).
 
 
 *	Prior GCC Experience (NIA Qatar, HIPAA, or GDPR)
 
 
 *	Experience working in a Startup environment.
 
 
 *	Autoscaling inference APIs.
 
 
 *	CKA/CKAD/CKS or AWS/Azure certs.
 
 
 
 
 
 Note:
 
 
 
 
 
 Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.
 
 
 This job description is not exhaustive and may be subject to change based on the evolving needs of the company.
 
</div>

Data Engineer

Explore 160+ Ai architect in Doha this May. Find roles across top companies and apply now to boost your career.

160 ai architect jobs In Doha

AI Architect

AI Architect

AI Solutions Architect

Client Solutions Partner

Integration & API Architect

Azure Cloud Infrastructure Architect

Data Engineer