business analyst

architect

data analyst

data engineer

ai architect

data architect

malomatia

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Architect, design and implement on-prem and on-cloud modern data platforms, RDBMS, operational data store (ODS), data marts, data warehouse, data Lakehouse and cloud storage.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   To lead the design, development, and deployment of data ingestion, data pipelines and ETL/ELT based data solutions. Translate business analytics requirements into technical requirements.
  </li>
  <li>
   Define solution architecture, design, governance, tools, and prepare technical documentation.
  </li>
  <li>
   Drive standards across the project, establish appropriate procedures for data modelling, data ingestion, and data products design, development and deployment.
  </li>
  <li>
   Manage work products versioning, contribute to and publish model management standards and practices for all types of data models including conceptual, logical and physical data models.
  </li>
  <li>
   Support pre-sales effort, provide proposal inserts for solution architecture design and writeup.
  </li>
  <li>
   Lead and manage BI developers across OAS and Power BI tracks
  </li>
  <li>
   Plan and assign tasks, monitor progress, and ensure timely delivery
  </li>
  <li>
   Review team deliverables to ensure quality, accuracy, and consistency
  </li>
  <li>
   Mentor and support team members technically
  </li>
  <li>
   Coordinate UAT support and defect resolution
  </li>
  <li>
   Ensure adherence to project timelines, scope, and quality standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A university degree in computer science or approved equivalent combination of education and experience.
  </li>
  <li>
   Expert Knowledge of modern data warehouse &amp; data Lakehouse design and build.
  </li>
  <li>
   Extensive knowledge and proven experience with relational SQL, NoSQL databases, and cloud based data storage and data architecture.
  </li>
  <li>
   8&ndash;12 years of hands-on experience in Business Intelligence and analytics
  </li>
  <li>
   Demonstrated experience development of logical and physical design documents for different types of data models, solution architecture, and training materials.
  </li>
  <li>
   Expert knowledge of workload optimization, query performance, schema optimization and data engineering optimization best practices and methods
  </li>
  <li>
   Demonstrated experience in defining and executing tests across the development lifecycle (unit testing, system testing, user acceptance testing) and using results to refine database design.
  </li>
  <li>
   8+ years experience working with enterprise data warehouses Demonstrated experience in creating both Functional Design Documents (FDD) &amp; Detailed Design Documents (DDD).
  </li>
  <li>
   Strong hands-on experience with BI platforms (Oracle 12c, ODI, OAS and Power BI)
  </li>
  <li>
   Strong experience in data architecture, data modeling, semantic layer and KPI design.
  </li>
  <li>
   Proven experience leading BI or analytics teams
  </li>
  <li>
   Bilingual Arabic and English languages
  </li>
 </ul>
</div>


Data Architect – BI Team Technical Lead

Starlink Qatar

<div>
 <p>
  The
  <strong>
   Data &amp; Analytics Architect
  </strong>
  defines and governs the end-to-end data architecture for enterprise platforms, enabling trusted data products, analytics, and reporting across multiple domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements.
 </p>
 <p>
  Working with stakeholders, technical teams, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Duties &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).
  </li>
  <li>
   Establish patterns for data ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.
  </li>
  <li>
   Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.
  </li>
  <li>
   Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.
  </li>
  <li>
   Define performance, scalability, and availability requirements for data workloads; implement partitioning, indexing, and cost optimization.
  </li>
  <li>
   Align data architecture with governance, privacy, and security requirements (classification, lineage, retention, encryption, DLP, access controls).
  </li>
  <li>
   Define reference designs for operational analytics, near-real-time reporting, and event-driven analytics.
  </li>
  <li>
   Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.
  </li>
  <li>
   Define and monitor data quality framework: validations, monitoring, SLAs, issue workflows, and reporting for data health.
  </li>
  <li>
   Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and disaster recovery planning.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).
  </li>
  <li>
   Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.
  </li>
  <li>
   Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.
  </li>
  <li>
   Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.
  </li>
  <li>
   Strong documentation and communication skills to align vendors and business owners on data contracts and standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Background
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Information Technology, Cybersecurity
   </strong>
   , or related field; Master&rsquo;s degree highly preferred.
  </li>
  <li>
   8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.
  </li>
  <li>
   Experience delivering data platforms in cloud/hybrid environments and integrating multiple vendor solutions.
  </li>
  <li>
   Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).
  </li>
  <li>
   Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).
  </li>
  <li>
   Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Tools / Soft Skills
  </strong>
 </p>
 <p>
  <strong>
   Preferred Tools
  </strong>
 </p>
 <ul>
  <li>
   Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)
  </li>
  <li>
   Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)
  </li>
  <li>
   Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)
  </li>
 </ul>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions
  </li>
  <li>
   Strong analytical thinking and structured problem solving
  </li>
  <li>
   Pragmatic prioritization balancing performance, cost, and governance constraints
  </li>
  <li>
   Collaborative leadership across vendors and internal teams
  </li>
  <li>
   Clear communication of complex data concepts to non-technical audiences
  </li>
 </ul>
</div>


Data & Analytics Architect

Brainlake

<div>
 The Data Platform Technology Architect leads the architecture, design, and evolution of the government's core data platforms &mdash; ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with Government-Wide strategy and policy.
 <br/>
 <br/>
 <ul>
  <li>
   Define and own the end-to-end architecture for core data platforms &mdash; ensuring scalability, performance, and security
  </li>
  <li>
   Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy
  </li>
  <li>
   Lead architecture and oversight of a complex ecosystem of data platforms &mdash; ensuring interoperability, consistency, and alignment across multiple vendors and technologies
  </li>
  <li>
   Design and govern the data sharing platform, enabling secure, standardized data flows across entities
  </li>
  <li>
   Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement
  </li>
  <li>
   Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics
  </li>
  <li>
   Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns
  </li>
  <li>
   Oversee platform lifecycle management &mdash; setup, operations, upgrades, migrations, and decommissioning of legacy platforms
  </li>
  <li>
   Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases
  </li>
  <li>
   Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment
  </li>
  <li>
   Drive platform adoption and value realization through enablement and use case activation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's in Computer Science, Data Engineering, or related field
  </li>
  <li>
   20+ years in technology architecture &mdash; including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America)
  </li>
  <li>
   Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities
  </li>
  <li>
   Strong expertise across modern data platforms and technologies &mdash; e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar
  </li>
  <li>
   Demonstrated ability to assess, select, and harmonize technologies across diverse vendors
  </li>
  <li>
   Government or large-scale enterprise ecosystem experience strongly preferred
  </li>
  <li>
   Excellent English communication; Arabic a plus
  </li>
 </ul>
</div>


Data Platform Technology Architect

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>230986
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Not Specified
</div></div><div><div><ul><li>Closing Date: 2026-04-30</li></ul><br>
</div></div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2><div>
Develop a comprehensive strategy for Enterprise Architecture &amp; Integration for MATAR to enable business technology, digitalisation, and automation. Oversee the development and implementation of Enterprise Integration and Data Engineering capabilities to ensure seamless data flow across the organisation for tactical and strategic decision-making. Enhance reliability, reusability, standardisation, and reduce complexity, maintenance, and cost.</div><h3 class="jobSectionHeader"><b>
Strategic</b></h3><p></p><div><br>
<ul><li>
Define, propose and seek concurrence from senior MATAR stakeholders for the Enterprise Integration strategy and governance.</li><li>
Develop a 3-year road map and propose adequate 3-year rolling budgets by both business and IT to fulfil the agreed strategy.</li><li>
Research emerging technology trends; establish their applicability to MATAR; and study early adoption use‑cases in the aviation industry and lead cross‑functional ideation and incubation of such technologies.</li><li>
Strategically have an effective and professional working relationship with relevant technology solutions providers and partners to obtain the best for MATAR and seek opportunities for reducing costs, improving agility and enabling innovation.</li></ul></div><h3 class="jobSectionHeader"><b>
Operational</b></h3><p></p><div><br>
<ul><li>
Develop and maintain integration standards, guidelines, and best practices to ensure consistency and adherence to industry standards, governance and best practices.</li><li>
Ensure business demand for data integration is effectively managed by collaborating with stakeholders to identify and prioritize integration and data engineering needs.</li><li>
Provide technical leadership and guidance to development teams and vendors to ensure that integration solutions are designed and implemented in accordance with established standards and best practices.</li><li>
Architect and implement enterprise system integration solutions, including ESB and APIs.</li><li>
Design and develop data engineering solutions, including data pipelines, data warehouses, and data lakes, ensuring that they are scalable, reliable, and secure for all MATAR and other stakeholder systems, leveraging real‑time acquisition of environmental/operational data through day‑of‑ops systems and sensors.</li><li>
Enable and support the business' management to develop and seek approval for business case/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.</li><li>
Foster a data‑driven culture of innovation, continuous improvement, and customer service excellence within the IT organisation.</li><li>
Establish an architecture review team for MATAR to govern, oversee and review architecture and solution designs.</li><li>
Establish an operating model of a data integration and engineering centre of enablement.</li><li><p>
Own and ensure delivery of Data Engineering and Integration solutions, projects and services in a timely and cost‑effective manner, with compliance to IT project governance framework and standards.</p></li><br>
<p></p><li>
Ensure high availability of assigned IT systems through appropriate design and architecture and compliance with policies and standards.</li><li>
Ensure issues related to projects/programs/change initiatives are identified and corrective actions monitored until closure.</li><li>
Perform other department duties related to the position as directed by the Head of Department.</li></ul></div>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification<br>
</b></h3></div></div><p></p><div><div><div><div><br>
<div><ul><li>High School/Vocational/Diploma with <i>minimum 9 years</i> of job‑related experience.</li><li>
Bachelor&rsquo;s Degree or equivalent with <i>minimum 8 years</i> of job‑related experience.</li><li>
Experience in designing, implementing and supporting large‑scale, highly available and distributed integration and data engineering solutions.</li><li>
Experience in enterprise architecture and integration of IT systems in fast‑paced environments.</li><li>
Experience working with aviation domain standards (IATA Type B, AIDX).</li><li>
Experience managing projects in medium to large organisations.</li></ul><h3 class="jobSectionHeader"><b>
</b></h3><h3 class="jobSectionHeader"><b>
Preferred Experience</b></h3><ul><li>
Senior resource managing a team of IT professionals.</li><li>
Strong knowledge of enterprise architecture standards (TOGAF, Zachman).</li><li>
Certifications: PMP, ITIL, Cloud Technologies.</li><li>
Airport industry experience.</li></ul><h3 class="jobSectionHeader"><b>
</b></h3><h3 class="jobSectionHeader"><b>
Job‑Specific Skills</b></h3><ul><li>
Good understanding of SDLC and QA processes.</li><li>
Expertise in architecture domains (data, infrastructure, application, business, software development).</li><li>
Experience with architecture modelling tools (Sparx EA, IBM Rational).</li><li>
Experience with DevOps, CI/CD, agile methodologies and IaC.</li><li>
Experience implementing ESB platforms (MuleSoft, OSB, IBM Integration Bus, Apache ServiceMix).</li><li>
Experience with messaging protocols (JMS, AMQP, MQTT).</li><li>
Experience with cloud tools (Azure Data Factory, Azure Logic Apps).</li><li>
Experience with containerisation (Docker, Kubernetes).</li><li>
Strong mentoring, coaching and team leadership skills.</li><li>
Mission critical systems management.</li><li>
Vendor management.</li><li>
Procurement management.</li><li>
Ability to adopt emerging technologies.</li></ul></div>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=230986</div></div></div></div></div></div></div></div><div></div>

Manager IT - Enterprise Architecture & Integration

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team 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 <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> 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.</p><p>Key Responsibilities</p><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><p>Qualifications</p><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><p>Why Join Us?</p><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><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Architect

Confidential

<div>
 <p>
  <strong>
   Role Definition
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Architect will:
 </p>
 <ul>
  <li>
   Own
   <strong>
    critical and irreversible architectural decisions
   </strong>
  </li>
  <li>
   Lead
   <strong>
    hands-on recovery of production failures
   </strong>
  </li>
  <li>
   Ensure
   <strong>
    long-term survivability, scalability, and resilience
   </strong>
   of infrastructure
  </li>
 </ul>
 <p>
  ⚠️ This is a
  <strong>
   strictly on-site role
  </strong>
  , requiring continuous physical presence in the data center environment, including direct access to hardware, consoles, and secure facilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience (Mandatory)
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    15&ndash;20 years
   </strong>
   of enterprise IT infrastructure experience
  </li>
  <li>
   Proven ownership of
   <strong>
    large-scale data centers
   </strong>
   (thousands of servers/workloads)
  </li>
  <li>
   Demonstrated accountability for:
  </li>
  <li>
   High-risk architectural decisions
  </li>
  <li>
   Major production outages
  </li>
  <li>
   Root cause analysis and recovery execution
  </li>
  <li>
   Hands-on involvement in
   <strong>
    critical incident management and recovery
   </strong>
  </li>
  <li>
   Mandatory
   <strong>
    100% on-site presence
   </strong>
   for operational and recovery activities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hardware &amp; Data Center Management (Expert Level &ndash; Mandatory)
  </strong>
 </p>
 <p>
  <strong>
   Enterprise Hardware Platforms
  </strong>
 </p>
 <ul>
  <li>
   Design, deployment, and lifecycle management of:
  </li>
  <li>
   Rack, blade, and hyper-converged systems
  </li>
  <li>
   Deep expertise in:
  </li>
  <li>
   BIOS, firmware, drivers, compatibility matrices
  </li>
  <li>
   BMC / iDRAC / iLO and out-of-band management
  </li>
  <li>
   Execution of:
  </li>
  <li>
   Large-scale hardware refresh and expansion programs
  </li>
  <li>
   Decommissioning and lifecycle governance
  </li>
  <li>
   Advanced troubleshooting of:
  </li>
  <li>
   Disk, memory, CPU, NIC, HBA failures
  </li>
 </ul>
 <p>
  <strong>
   Data Center Operations &amp; Governance
  </strong>
 </p>
 <ul>
  <li>
   Hands-on management of:
  </li>
  <li>
   Racks, power, cooling, cabling, and space planning
  </li>
  <li>
   Coordination with:
  </li>
  <li>
   Facilities teams
  </li>
  <li>
   Vendors and field engineers
  </li>
  <li>
   Ownership of:
  </li>
  <li>
   Hardware standards and build templates
  </li>
  <li>
   Asset lifecycle, warranties, and support contracts
  </li>
 </ul>
 <p>
  <strong>
   Hands-On Technical Expertise (Mandatory)
  </strong>
 </p>
 <p>
  <strong>
   Containers, Kubernetes &amp; OpenShift
  </strong>
 </p>
 <ul>
  <li>
   Deep operational expertise in
   <strong>
    Kubernetes/OpenShift environments
   </strong>
  </li>
  <li>
   Hands-on recovery of:
  </li>
  <li>
   Control plane failures under live production traffic
  </li>
  <li>
   Strong understanding of:
  </li>
  <li>
   Scheduler behavior
  </li>
  <li>
   etcd failure scenarios
  </li>
  <li>
   API server performance bottlenecks
  </li>
  <li>
   Design for:
  </li>
  <li>
   High availability (node, rack, DC failures as baseline scenarios)
  </li>
 </ul>
 <p>
  <strong>
   Virtualization &amp; SDDC
  </strong>
 </p>
 <ul>
  <li>
   Expert-level design and recovery of virtualization platforms
  </li>
  <li>
   Strong knowledge of:
  </li>
  <li>
   Micro-segmentation
  </li>
  <li>
   Distributed firewalls
  </li>
  <li>
   Performance tuning
  </li>
  <li>
   Ownership of:
  </li>
  <li>
   Emergency upgrades
  </li>
  <li>
   Rollbacks
  </li>
  <li>
   Lifecycle decisions
  </li>
 </ul>
 <p>
  <strong>
   Networking &amp; Hybrid Cloud
  </strong>
 </p>
 <ul>
  <li>
   Carrier-grade networking design and troubleshooting
  </li>
  <li>
   Hybrid cloud architecture with resilience against:
  </li>
  <li>
   Connectivity failures
  </li>
  <li>
   Identity/control-plane issues
  </li>
  <li>
   Ability to operate
   <strong>
    independently of vendors/system integrators
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Certifications (Highly Preferred / Mandatory)
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Red Hat Certified Architect (RHCA)
   </strong>
   &ndash; OpenShift &amp; Infrastructure tracks
  </li>
  <li>
   <strong>
    Certified Kubernetes Administrator (CKA)
   </strong>
  </li>
  <li>
   <strong>
    Certified Kubernetes Security Specialist (CKS)
   </strong>
  </li>
  <li>
   <strong>
    VMware VCIX (DCV + NV)
   </strong>
   or equivalent
  </li>
  <li>
   Cloud Architect Certification:
  </li>
  <li>
   AWS Professional OR Azure Architect Expert
  </li>
  <li>
   <strong>
    Expert-level networking certification (CCIE or equivalent)
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Required Technical Skills
  </strong>
 </p>
 <p>
  <strong>
   Virtualization &amp; HCI
  </strong>
 </p>
 <ul>
  <li>
   Nutanix HCI &amp; AHV (
   <strong>
    mandatory
   </strong>
   )
  </li>
  <li>
   VMware vSphere, NSX, vSAN
  </li>
  <li>
   Hypervisor performance tuning
  </li>
  <li>
   Data center infrastructure architecture
  </li>
 </ul>
 <p>
  <strong>
   Cloud &amp; Automation
  </strong>
 </p>
 <ul>
  <li>
   Private cloud architecture
  </li>
  <li>
   Infrastructure as Code (Terraform, Ansible)
  </li>
  <li>
   CI/CD integration
  </li>
  <li>
   API-driven infrastructure
  </li>
 </ul>
 <p>
  <strong>
   Storage &amp; Networking
  </strong>
 </p>
 <ul>
  <li>
   Software-defined storage:
  </li>
  <li>
   Ceph, Portworx, Nutanix Storage
  </li>
  <li>
   Software-defined networking
  </li>
  <li>
   Load balancers &amp; ingress controllers
  </li>
 </ul>
 <p>
  <strong>
   Experience Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    10+ years
   </strong>
   in infrastructure/virtualization architecture
  </li>
  <li>
   <strong>
    5+ years
   </strong>
   in Kubernetes/container platforms
  </li>
  <li>
   Strong expertise in:
  </li>
  <li>
   Nutanix HCI
  </li>
  <li>
   VMware enterprise environments
  </li>
  <li>
   Experience in:
  </li>
  <li>
   Large enterprise / telecom / banking environments
  </li>
  <li>
   Proven track record in:
  </li>
  <li>
   Data center transformation
  </li>
  <li>
   Cloud migration programs
  </li>
 </ul>
 <p>
 </p>
</div>


Cloud, Container & Hardware Architect

<div>
 <p>
  <strong>
   Job Title: AI Architect
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Solution Architecture &amp; Delivery
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Enterprise System &amp; Data Integration
  </strong>
 </p>
 <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>
 <p>
  <strong>
   AI Governance &amp; Risk Management
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Applied AI Enablement
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Stakeholder &amp; Client Management
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Performance &amp; Scalability
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Competencies
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


AI Architect

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