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data architect google cloud platform

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Data Architect - Google Cloud Platform
</div></div><div><div>Ref #
</div><div>229074
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 09-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About Your Job:</b></p><p>
In this role, you are responsible for designing data solutions that meets the business needs of the organisation. This includes translating business requirements into data products, creating data models, defining data architecture, and ensuring data integrity, security, scalability and performance tailored to the specific needs of the initiative. You also will work closely with business stakeholders, data engineers, product owners and data analysts to ensure that data products are aligned with business objectives.</p><p><b>
Key Responsibilities:</b></p><ul><li>Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.</li><li>Leveraging strong business acumen, translate business requirements to create solution artefacts to build data products.</li><li>Develop solution proposals that provide details of project scope, approach, deliverables and timeline.</li><li>Design data models, ensuring accuracy, integrity, and performance.</li><li>Ensure the scalability and performance of data solutions.</li><li>Ensure the data security of the data products.</li><li>Ensure the solution is optimized for cost-efficiency.</li><li>Select appropriate technologies and tools offered by organisations&rsquo; self-serve data platform for building the data products.</li><li>Prepare key design decisions, and an ability to demonstrate structured consideration of multiple options (comparing competing technologies, functional design approaches etc).</li><li>Guide the data engineers in solution development.</li><li>Oversee and ensure the implementation of the solution defined.</li><li>Provide solution oversight to IT and business stakeholders.</li></ul><p><b>
Be part of an extraordinary story:</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.<br>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Experience &amp; Knowledge</b><b>:</b></p><ul><li>Bachelor&rsquo;s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).</li><li>6+ years of experience Big Data, data warehouse, data analytics projects, with at least 3 years in solution architect role.</li><li>Strong knowledge of GCP services: BigQuery, Cloud Storage, Dataflow, Cloud Composer, Pub/Sub, Dataproc.</li><li>Hands-on experience with programming languages (Python, SQL).</li><li>Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies.</li><li>Solid understanding of security principles, IAM, and compliance frameworks.</li><li>Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence solutions, including Data Lakes/Lakehouses.</li><li>Strong understanding of data quality principles and methodologies.</li><li>Data modelling and solutioning skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as Kimball, Inmon, data vault etc.</li><li>Excellent problem-solving skills and the ability to troubleshoot complex data issues.</li><li>Strong communication and collaboration skills to work effectively with cross-functional teams</li><li>Knowledge of data mesh architecture.</li><li>Knowledge of airline domain.</li><li>Knowledge of agile/lean development methodologies.</li><li>GCP certifications are a plus.</li></ul><p><b>
About Qatar Airways Group:</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply:</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=229074</div></div></div></div></div></div></div></div>

Data Architect - Google Cloud Platform

Edison Smart®

<div>
 <p>
  <strong>
   Cloud Architect &ndash; Role Overview
  </strong>
 </p>
 <p>
  The Cloud Architect will be responsible for designing, implementing, and optimising cloud environments that support complex digital ecosystems. This role focuses on building scalable, secure, and resilient cloud platforms capable of supporting large-scale operations, fluctuating workloads, and business-critical applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Cloud Architecture &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Develop secure, scalable cloud infrastructures on major cloud platforms (Azure, AWS, or Google Cloud).
  </li>
  <li>
   Select the most suitable cloud services based on performance, availability, cost, and application requirements.
  </li>
  <li>
   Automate cloud resource provisioning using Infrastructure-as-Code (IaC) frameworks (e.g., ARM templates, Deployment Manager, CloudFormation, Terraform).
  </li>
  <li>
   Incorporate principles of cost efficiency, operational continuity, and compliance into all architectural decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cloud Security, Governance &amp; Documentation
  </strong>
 </p>
 <ul>
  <li>
   Establish and maintain strong security controls for cloud environments, including IAM frameworks, encryption standards, and access policies.
  </li>
  <li>
   Ensure cloud solutions adhere to industry best practices, governance frameworks, and data-protection regulations.
  </li>
  <li>
   Develop ongoing monitoring and reporting processes to assess cloud health, performance, and utilisation.
  </li>
  <li>
   Produce clear technical documentation, diagrams, and architecture artifacts for internal teams and stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operations, Optimisation &amp; Problem Solving
  </strong>
 </p>
 <ul>
  <li>
   Perform routine maintenance activities to ensure platform stability and operational uptime.
  </li>
  <li>
   Optimise system resources for resilience, performance, and scalability.
  </li>
  <li>
   Troubleshoot environment-wide issues and lead root-cause analysis for cloud-related incidents.
  </li>
  <li>
   Automate monitoring, maintenance, and repeatable operational processes to enhance efficiency and reduce manual effort.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    8+ years
   </strong>
   working in IT infrastructure, cloud engineering, or related domains.
  </li>
  <li>
   <strong>
    6+ years
   </strong>
   in a dedicated cloud architecture or cloud delivery role.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or an equivalent discipline.
  </li>
 </ul>
 <p>
  <strong>
   Certifications
  </strong>
  (any two):
 </p>
 <ul>
  <li>
   Microsoft Azure Solutions Architect Expert
  </li>
  <li>
   Google Professional Cloud Architect
  </li>
  <li>
   AWS Certified Solutions Architect &ndash; Professional
  </li>
  <li>
   Cloud Computing Professional (CCC) or similar advanced cloud credentials
  </li>
 </ul>
 <p>
  <strong>
   Required Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Expertise in designing and deploying cloud solutions across Azure or Google Cloud.
  </li>
  <li>
   Strong understanding of enterprise systems and cloud-native services.
  </li>
  <li>
   Hands-on administration experience in Microsoft and Google cloud ecosystems.
  </li>
  <li>
   Knowledge of cloud networking, identity, security controls, and hybrid-cloud integrations.
  </li>
  <li>
   Experience with cloud virtualization, high-availability design, and multi-region deployments.
  </li>
  <li>
   Ability to create cloud strategies, architecture frameworks, and security-focused design patterns
  </li>
 </ul>
</div>


Cloud Architect - Up to 30,000 QAR

Iberdrola

<div><div>IBERDROLA is a leading multinational group in the Energy sector, world leader in Renewable Energies and Sustainability, and one of the world's top power companies, with operations in Spain, United Kingdom, Australia, USA and Latin America, as well as the Middle East. Iberdrola is number one Spanish energy group by market capitalization.</div><div></div><div>
As part of its international bet on innovation, Iberdrola has set up a world-class global Innovation Center at the Qatar Science and Technology Park (QSTP). Aiming at <i>Defining the Digital Utility</i>, Iberdrola Innovation Middle East (ME) works at the intersection of energy and digital technologies, focusing on three key innovation and product development areas: smart grids, renewable energy integration and smart solutions for our customers. <div>https://www.iberdrola.com/innovation/innovation-middle-east-qatar</div></div><div></div><div>
We are a highly dynamic and diverse team, catering for very different profiles and nationalities, engaged in the mission of making this world more sustainable through AI solutions and applications.</div><div></div><div>
The Position</div><div></div><div>
The Company is currently expanding its technical teams and is looking for Senior Software Developer with strong backend knowledge and experience to strengthen its digital product development capabilities.</div><div>
We are looking for candidates who combine deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued. This role requires both hands-on technical skills and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.</div><div></div><div>
Jobs to be done</div><ul><li>
Lead the design and evolution of cloud-native architectures for scalable, maintainable, and secure digital platforms, with a strong emphasis on Google Cloud, while also leveraging experience with AWS and/or Azure.</li><li>
Architect and implement distributed backend systems and microservices using Java or NodeJS (with TypeScript) and, eventually, Python, following best practices in performance, resilience, and security.</li><li>
Design and govern Kubernetes-based deployment strategies across environments, ensuring robust container orchestration, service mesh integration, and operational observability.</li><li>
Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.</li><li>
Provide expert guidance on CI/CD pipeline design using tools like Cloud Build, or GitHub Actions.</li><li>
Act as a technical mentor for junior developers, fostering a culture of architectural thinking, system ownership, and continuous improvement.</li><li>
Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.</li><li>
Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.</li></ul><div></div><div>
Requirements:</div><ul><li>
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.</li><li>
8+ years of professional experience in software engineering.</li><li>
Advanced proficiency in Java (preferred) and/or NodeJS or Python, with strong understanding of scalable backend architectures.</li><li>
Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.</li><li>
Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.</li><li>
Demonstrated experience working with cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.</li><li>
Experience working with CI/CD design using tools like Cloud Build, GitHub Actions, or equivalent.</li><li>
Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.</li><li>
Excellent leadership, communication, and collaboration skills across technical and business stakeholders.</li><li>
Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.</li></ul><div></div><div>
Preferred qualifications:</div><ul><li>
Experience integrating software platforms with industrial systems such as SCADA or other industrial IoT protocols.</li><li>
Experience with digital twins, asset modeling, or time-series data platforms in energy or industrial contexts.</li><li>
Understanding of DevSecOps principles and cloud security best practices.</li><li>
Professional certifications in cloud architecture (e.g., Google Professional Cloud Architect, Azure Solutions Architect, or AWS Certified Solutions Architect).</li><li>
Experience building multi-tenant SaaS or PaaS platforms and multi-region deployments.</li><li>
Experience with serverless technologies (Cloud Functions, Cloud Run, Azure Functions, Lambda).</li><li>
Agile methodology certifications (e.g., Scrum Master, SAFe Agilist) and familiarity with tools like Jira or Azure Boards.</li><li>
English proficiency at C1/C2 level, with excellent written and verbal communication skills.</li></ul><div></div><div>
Years of experience</div><ul><li>
Senior professionals (+8 years of relevant experience) will be considered in the selection process. 5-8 years' experience profiles could be considered if they are outstanding.</li></ul><div></div><div>
Personal Skill set</div><ul><li>
Balance between structured thinking and creative problem solving.</li><li>
Ownership mindset and attention to detail.</li><li>
Team player with collaborative spirit and strong communication skills.</li><li>
Willingness to learn and adapt to evolving technologies and tools.</li><li>
Ability to thrive in a fast-paced, innovation-driven environment.</li><li>
Interest in contributing to a more sustainable world through technology.</li></ul><div></div><div>
Mobility Information</div><div>
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.</div><div></div><div>
Job Posting End Date:</div>
January-31-2026</div>

Senior Software Developer

<div>
 <strong>
  IBERDROLA
 </strong>
 is a leading multinational group in the Energy sector, world leader in Renewable Energies and Sustainability, and one of the world's top power companies, with operations in Spain, United Kingdom, Australia, USA and Latin America, as well as the Middle East. Iberdrola is number one Spanish energy group by market capitalization.
 <br/>
 <br/>
 As part of its international bet on innovation, Iberdrola has set up a world-class global Innovation Center at the Qatar Science and Technology Park (QSTP). Aiming at
 <em>
  Defining the Digital Utility
 </em>
 , Iberdrola Innovation Middle East (ME) works at the intersection of energy and digital technologies, focusing on three key innovation and product development areas: smart grids, renewable energy integration and smart solutions for our customers. https://www.iberdrola.com/innovation/innovation-middle-east-qatar
 <br/>
 <br/>
 We are a highly dynamic and diverse team, catering for very different profiles and nationalities, engaged in the mission of making this world more sustainable through AI solutions and applications.
 <br/>
 <br/>
 <strong>
  The Position
  <br/>
  <br/>
 </strong>
 The Company is currently expanding its technical teams and is looking for Senior Software Developer with strong backend knowledge and experience to strengthen its digital product development capabilities.
 <br/>
 <br/>
 We are looking for candidates who combine deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued. This role requires both hands-on technical skills and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.
 <br/>
 <br/>
 <strong>
  Jobs to be done
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design and evolution of cloud-native architectures for scalable, maintainable, and secure digital platforms, with a strong emphasis on Google Cloud, while also leveraging experience with AWS and/or Azure.
  </li>
  <li>
   Architect and implement distributed backend systems and microservices using Java or NodeJS (with TypeScript) and, eventually, Python, following best practices in performance, resilience, and security.
  </li>
  <li>
   Design and govern Kubernetes-based deployment strategies across environments, ensuring robust container orchestration, service mesh integration, and operational observability.
  </li>
  <li>
   Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.
  </li>
  <li>
   Provide expert guidance on CI/CD pipeline design using tools like Cloud Build, or GitHub Actions.
  </li>
  <li>
   Act as a technical mentor for junior developers, fostering a culture of architectural thinking, system ownership, and continuous improvement.
  </li>
  <li>
   Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.
  </li>
  <li>
   Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
  </li>
  <li>
   8+ years of professional experience in software engineering.
  </li>
  <li>
   Advanced proficiency in Java (preferred) and/or NodeJS or Python, with strong understanding of scalable backend architectures.
  </li>
  <li>
   Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.
  </li>
  <li>
   Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.
  </li>
  <li>
   Demonstrated experience working with cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.
  </li>
  <li>
   Experience working with CI/CD design using tools like Cloud Build, GitHub Actions, or equivalent.
  </li>
  <li>
   Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.
  </li>
  <li>
   Excellent leadership, communication, and collaboration skills across technical and business stakeholders.
  </li>
  <li>
   Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating software platforms with industrial systems such as SCADA or other industrial IoT protocols.
  </li>
  <li>
   Experience with digital twins, asset modeling, or time-series data platforms in energy or industrial contexts.
  </li>
  <li>
   Understanding of DevSecOps principles and cloud security best practices.
  </li>
  <li>
   Professional certifications in cloud architecture (e.g., Google Professional Cloud Architect, Azure Solutions Architect, or AWS Certified Solutions Architect).
  </li>
  <li>
   Experience building multi-tenant SaaS or PaaS platforms and multi-region deployments.
  </li>
  <li>
   Experience with serverless technologies (Cloud Functions, Cloud Run, Azure Functions, Lambda).
  </li>
  <li>
   Agile methodology certifications (e.g., Scrum Master, SAFe Agilist) and familiarity with tools like Jira or Azure Boards.
  </li>
  <li>
   English proficiency at C1/C2 level, with excellent written and verbal communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Years Of Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Senior professionals (+8 years of relevant experience) will be considered in the selection process. 5-8 years' experience profiles could be considered if they are outstanding.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Skill set
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Balance between structured thinking and creative problem solving.
  </li>
  <li>
   Ownership mindset and attention to detail.
  </li>
  <li>
   Team player with collaborative spirit and strong communication skills.
  </li>
  <li>
   Willingness to learn and adapt to evolving technologies and tools.
  </li>
  <li>
   Ability to thrive in a fast-paced, innovation-driven environment.
  </li>
  <li>
   Interest in contributing to a more sustainable world through technology.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Informaci&oacute;n Movilidad
  <br/>
  <br/>
 </strong>
 Tenga en cuenta que cualquier solicitante que no sea ciudadano del pa&iacute;s de la vacante estar&aacute; sujeto al cumplimiento de los requisitos de inmigraci&oacute;n aplicables para trabajar legalmente en ese pa&iacute;s.
 <br/>
 <br/>
 January-31-2026
</div>


COZMALABS

<p>We are seeking an experienced <b>Data &amp; AI Architect &ndash; Microsoft Azure</b> to design, architect, and lead the implementation of scalable, secure, and high-performing data and artificial intelligence solutions on the Azure platform. The ideal candidate will work closely with business stakeholders, data engineers, data scientists, and application teams to translate business requirements into modern cloud-based data and AI architectures that drive insights and innovation.</p><p><b>Experience</b></p><ul><li>7&ndash;10 years of experience as a Data Architect on Microsoft Azure.</li><li>hands-on experience in AI/ML solutioning in Microsoft Azure.</li><li>Proven experience designing enterprise-scale cloud data platforms.</li></ul><p><b>Technical &amp; Cloud Skills</b></p><ul><li>Azure Databricks (Spark, Delta Tables)</li><li>Azure Synapse Analytics (Dedicated &amp; Serverless SQL)</li><li>Azure Data Factory</li><li>Microsoft Fabric (Lakehouse, OneLake, Warehouse)</li><li>Experience with Azure SQL, Synapse SQL, and other analytical databases (Snowflake is a plus).</li><li>Strong knowledge of Azure services including Azure AI, Azure ML, Data Factory, and Cognitive Services.</li><li>Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI</li></ul><p><b>Key Responsibilities</b></p><ul><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Provide LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation</li><li>Design data models, Lakehouse, and data warehouse architectures for structured and semi-structured data</li><li>Architect and govern ETL/ELT pipelines using ADF, Databricks, Synapse Pipelines, and Fabric Data Pipelines.</li><li>Implement data security, governance, and access controls across cloud data platforms.</li><li>Provide architectural guidance and optimized solutions for complex data engineering challenges.</li><li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data & AI Architect – Microsoft Azure

<div>
 <p>
  <strong>
   AI Architect &ndash; Doha - Up to 30,000 QAR
  </strong>
 </p>
 <p>
  The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Architecture &amp; Solution Delivery
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
  </li>
  <li>
   Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
  </li>
  <li>
   Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise Integration &amp; Data Engineering
  </strong>
 </p>
 <ul>
  <li>
   Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
  </li>
  <li>
   Connect structured and unstructured data sources using APIs, middleware, and automation tools.
  </li>
  <li>
   Build and optimise data pipelines to support model training, inference, and continuous improvement.
  </li>
 </ul>
 <p>
  <strong>
   AI Governance, Security &amp; Risk
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
  </li>
  <li>
   Monitor and manage risks related to model bias, transparency, explainability, and trust.
  </li>
  <li>
   Apply robust security and governance standards across all AI deployments.
  </li>
 </ul>
 <p>
  <strong>
   Applied AI Implementation
  </strong>
 </p>
 <ul>
  <li>
   Deploy and customise AI models for real-world use cases across different business functions.
  </li>
  <li>
   Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
  </li>
  <li>
   Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Collaboration &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Work closely with technical and business teams to identify opportunities for applied AI adoption.
  </li>
  <li>
   Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
  </li>
  <li>
   Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
  </li>
 </ul>
 <p>
  <strong>
   Performance Engineering &amp; Scalability
  </strong>
 </p>
 <ul>
  <li>
   Optimise AI architectures for speed, performance, and reliability.
  </li>
  <li>
   Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
  </li>
  <li>
   Assess ROI and operational impact of AI deployments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    8+ years
   </strong>
   in solution architecture, with
   <strong>
    4+ years
   </strong>
   focused on applied AI/ML projects.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Certifications
  </strong>
 </p>
 <ul>
  <li>
   AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
  </li>
  <li>
   Azure AI Foundry, Google Cloud AI/ML credentials.
  </li>
  <li>
   Software engineering or solution architecture certifications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong expertise in AI solution development and applied AI delivery.
  </li>
  <li>
   Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
  </li>
  <li>
   Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
  </li>
  <li>
   Strong understanding of SDLC, requirements gathering, and technical design.
  </li>
  <li>
   Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
  </li>
  <li>
   Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
  </li>
  <li>
   Knowledge of advanced RAG techniques for enterprise knowledge management.
  </li>
  <li>
   Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
  </li>
  <li>
   Ability to design secure, scalable, high-performing AI systems.
  </li>
  <li>
   Excellent communication and stakeholder engagement skills.
  </li>
 </ul>
</div>


Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

Confidential

<div>
 <p>
  📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 </p>
 <p>
  We are seeking a highly skilled Sports Business Systems Analyst to spearhead the design and implementation of cutting-edge AI solutions across the sports, performance, education, and medical sectors. In this role, you will be responsible for creating compelling business cases and architecting end-to-end AI systems that leverage machine learning, NLP, and advanced data analytics. You will design scalable architectures on cloud platforms like Azure AI Foundry and Google Agent Space, ensuring seamless integration with existing enterprise systems such as CRM and ERP. A key part of your role will involve navigating AI governance, ensuring compliance with regulations like GDPR and HIPAA while monitoring for bias and transparency. You will partner closely with internal stakeholders to identify high-impact AI opportunities and demonstrate their measurable business value. This position requires a strategic thinker with deep technical expertise to act as a trusted advisor, driving AI-enabled transformation and optimizing systems for performance, scalability, and reliability.
 </p>
 <p>
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 </p>
 <p>
  <br/>
 </p>
 <p>
  🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 </p>
 <p>
  &rtrif; 8+ years of experience in Solution Architecture with a minimum of 4 years in applied AI/ML projects.
 </p>
 <p>
  &rtrif; Proficiency in designing and implementing scalable AI architectures using cloud-native platforms like Azure AI Foundry and Google Agent Space.
 </p>
 <p>
  &rtrif; Hands-on expertise with Google Agent Builder, Google SDK, and multi-agent systems.
 </p>
 <p>
  &rtrif; Strong knowledge of Advanced RAG for enterprise-scale knowledge management.
 </p>
 <p>
  &rtrif; Skilled in database and data architecture, including SQL, NoSQL, vector databases, and knowledge graphs.
 </p>
 <p>
  &rtrif; Experience integrating cloud AI services with enterprise platforms (ERP, CRM, medical, sports performance).
 </p>
 <p>
  &rtrif; Proficient in multiple solution architecture techniques, SDLC, and requirements analysis.
 </p>
 <p>
  &rtrif; Ability to design applied AI systems that are secure, scalable, and performance-optimized.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 </p>
 <p>
  &rtrif; Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </p>
 <p>
  &rtrif; Certifications such as MS Certified AI Developer/Architect or certifications for Azure AI Foundry and Google Cloud AI/ML platforms.
 </p>
 <p>
  &rtrif; Strong communication and stakeholder management skills to bridge the gap between technical teams and business units.
 </p>
 <p>
  &rtrif; Experience ensuring AI systems comply with data regulations such as GDPR and HIPAA.
 </p>
 <p>
  &rtrif; Proven ability to act as a trusted advisor for AI-enabled organizational transformation.
 </p>
</div>


Sports Business Systems Analyst

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Sports Business Systems Analyst